In an embodiment, a set of hash functions and a set of data streams to be hashed may be received. Each of a first hash function and a second hash function may be selected from the received set of hash functions by using a hash selector in an encoder system. The first hash function is applied on a first set of data streams to generate a first hashed data stream. The second hash function is applied on a second set of data streams to generate a second hashed data stream. An encoded data stream associated with the set of data streams is generated. The generated encoded data stream is transmitted to a decoder system associated with the encoder system, wherein the decoder system is configured to determine the set of data streams from the transmitted encoded data streams, based on both the first hash function and the second hash function.
H04L 9/06 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité l'appareil de chiffrement utilisant des registres à décalage ou des mémoires pour le codage par blocs, p. ex. système DES
A quantum device includes a quantum bit having a Josephson junction element; a signal source connected to the quantum bit; and a resistive element connected between a signal path between the signal source and the quantum bit, and a ground line.
According to an aspect of an embodiment, a method may include obtaining a tabular dataset. The tabular dataset may be converted into a first dataset having a first data type using a first converter. The tabular dataset may be converted into a second dataset having a second data type using a second converter. The method may further include generating, using a first encoder, a first set of embeddings in a first dimensional space based on the first dataset and generating, using a second encoder, a second set of embeddings in a second dimensional space based on the second dataset. The method may further include training one or both of the first encoder and the second encoder based on the first set of embeddings and the second set of embeddings.
An antenna-equipped substrate device includes a wiring board having a plurality of insulating layers; an antenna having a first antenna element provided on a first surface of the wiring board; an amplifier provided on the first surface of the wiring board and connected to the first antenna element. The wiring board has a first portion where the antenna is provided and a second portion where the amplifier is provided. A thickness of the first portion of the wiring board is thinner than a thickness of the second portion of the wiring board.
The present invention evaluates the reliability of the response of a machine learning model to a prompt. An information processing device (10) inputs, to a machine learning model (13), a prompt (14) including first instructions that dictate the output of information related to first information and second instructions that dictate the output of the first information, acquires second information which was outputted from the machine learning model (13) in response to the second instructions, calculates the similarity between the first information and the second information, and determines a storage condition of the first information in the machine learning model (13) on the basis of the similarity.
A computer-implemented method comprising: generating, based on log data, a first knowledge hypergraph; extracting from the log data information related to a set of keywords and generating, based on the extracted information, a set of second knowledge hypergraphs; generating a combined hypergraph; extracting, from among nodes of the combined hypergraph, query-specific seed nodes based on similarity between the nodes of the combined hypergraph and named entities in a received query; detecting communities in the combined hypergraph and computing a community weight for each community; and ranking hyperedges in the combined hypergraph, wherein the ranking of each hyperedge is based on weights of the nodes which the hyperedge connects, and using a first LLM to generate, based on the query and the ranked hyperedges, an answer to the query.
This information processing device acquires a video including a person to be detected. The information processing device acquires object information that is outputted by a predetermined video analysis technique, the attribute information and behavior information of a person being associated with the person included in the video. The information processing device generates work assistance information for the person on the basis of the object information. The information processing device verifies the influence on the person when the person has changed an action on the basis of the generated work assistance information. The information processing device outputs the work assistance information when the verification result satisfies a prescribed condition.
This spatiotemporal inference device is configured to: convert spatiotemporal information that includes the position of an object in a real space at each time, said object being detected from an image of each frame of a video, into log data in a table format; and execute spatiotemporal inference on the video on the basis of the log data and a question in a natural language sentence.
G06V 10/62 - Extraction de caractéristiques d’images ou de vidéos relative à une dimension temporelle, p. ex. extraction de caractéristiques axées sur le tempsSuivi de modèle
9.
METHOD AND APPARATUS FOR LARGE LANGUAGE MODEL OUTPUT FILTERING
5 A computer-implemented method of training a filter for large language model, LLM, outputs, the method comprising: accepting input of a plurality of training prompts, the plurality of training prompts comprising labels identifying each prompt as a safe prompt or an unsafe prompt; for each training prompt, obtaining a plurality of LLM parameter gradients by passing the training prompt through an LLM selecting a subset of the plurality of LLM 0 parameter gradients, and quantizing the subset to obtain quantized gradient information; and training a classifier using the quantized gradient information and the training prompt labels, the trained classifier being configured to act as the filter for LLM outputs and classify prompts as safe or unsafe.
The present invention improves the accuracy of fake detection. A processing unit (12) acquires an image pair from among a plurality of images. The processing unit (12) generates a composite image (40) by replacing low frequency components (21a) that correspond to frequencies lower than a first frequency and that are among the frequency components contained in a first partial image (21), which is a portion of a first image (20) belonging to the pair, with low frequency components of a second partial image (31) that is included in a second image (30) belonging to the pair and that corresponds to the first partial image (21). The processing unit (12) assigns, to the composite image (40), a label that is based on a first label indicating whether or not the first image (20) is a fake and a second label indicating whether or not the second image (30) is a fake. By machine learning using a composite image generated for each pair acquired from among the plurality of images and the label for the composite image, the processing unit (12) generates a machine learning model that outputs an indicator indicating the likelihood that a third image is a fake upon input of the third image.
A method may include discretizing a partial differential equation with an initial value condition to obtain a linear equation. The method may also include scaling at least one discretization parameter of the linear equation to obtain a scaled linear equation. The method may include applying a quantum algorithm to the scaled linear equation to obtain a linear system with a preconditioned matrix. The method may further include performing a quantum singular value transformation to apply an inverse of the preconditioned matrix to obtain a solution. The method may include extracting an integral probability from the solution using an integral interpolation.
G06N 10/20 - Modèles d’informatique quantique, p. ex. circuits quantiques ou ordinateurs quantiques universels
12.
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN DATA SELECTION PROGRAM, INFORMATION PROCESSING APPARATUS, AND COMPUTER-IMPLEMENTED DATA SELECTION METHOD
A non-transitory computer-readable recording medium having stored therein a data selection program that causes a computer to execute a process including determining, for each of a plurality of pieces of graph structure data, a weight in data selection based on the number of adjacent nodes shared by two nodes for a set of the two nodes included in the graph structure data, and selecting training data to be used for training a neural network that predicts a presence or absence of a link between nodes included in the graph structure data input as input data from among the plurality of pieces of graph structure data based on the determined weight and information indicating a presence or absence of a link between nodes for each of one or more sets of two nodes.
An information processing apparatus includes circuitry to receive a selection of an integration destination for imaging data from among a plurality of integration destination candidates, using settings information that includes imaging settings and an integration destination setting, determine whether a usage frequency of the integration destination meets a predetermined condition, create additional settings information that includes the integration destination specified in the integration destination setting when a usage frequency of the integration destination meets a predetermined condition, and display, on a display, the additional settings information as available.
The present invention improves the accuracy of distance measurement. A housing (20) incorporates an irradiation unit (21) that emits a laser beam, a mirror (22) configured such that the angle at which the mirror reflects the laser beam can be changed, and a light-receiving unit (23) that receives a laser beam. A processing unit (12) acquires a first round-trip time of the laser beam emitted from the irradiation unit (21) to an object (30) via the mirror (22) and received by the light-receiving unit (23), and a first angle of rotation of the mirror (22). On the basis of in-housing flight time information (11a) that specifies the in-housing flight time of the laser beam for each angle of rotation of the mirror (22), the processing unit (12) performs correction for subtracting a first in-housing flight time corresponding to the first angle from the first round-trip time.
An information processing device (100) acquires first structure information representing the structure of each sentence of a plurality of sentences. The information processing device (100) generates a first prompt (120) that is to be input into a first language model (110) and that requests aggregation of two or more sentences having same or similar structures among the plurality of sentences. The first prompt (120) includes each sentence and the acquired first structure information representing the structure of the sentence, in association with each other. This enables the information processing device (100) to generate an appropriate first prompt (120) that makes it easier for the first language model (110) to aggregate the plurality of sentences as intended by the user. The information processing device (100) can, for example, make it easier to aggregate a plurality of sentences based on a contract. Therefore, the information processing device (100) can be used, for example, to make it easier for users to understand contract contents, thus preventing contract violations.
An information processing apparatus generates error patterns each indicating one or more first data qubits to which errors are introduced among a plurality of data qubits in a two-dimensional lattice where the data qubits and a plurality of ancilla qubits are alternately arranged in each of a row and a column direction; determines whether the first data qubits indicated by the error patterns satisfy a predetermined determination criterion; determines, when the criterion is satisfied, that a logical error does not occur in the error patterns; and determines, when the criterion is not satisfied, whether the logical error occurs based on error detection information where ancilla qubits adjacent, in the row or column direction, to the first data qubits indicated in the error patterns have flipped states.
G06N 10/70 - Correction, détection ou prévention d’erreur quantique, p. ex. codes de surface ou distillation d’état magique
G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p. ex. couplage ou commande de qubit
G06N 10/80 - Programmation quantique, p. ex. interfaces, langages ou boîtes à outils de développement logiciel pour la création ou la manipulation de programmes capables de fonctionner sur des ordinateurs quantiquesPlate-formes pour la simulation ou l’accès aux ordinateurs quantiques, p. ex. informatique quantique en nuage
17.
MEMORY CIRCUIT AND INFORMATION PROCESSING APPARATUS
A memory circuit including a word line driver configured to set a potential of a word line signal input to a selected memory cell to a second value lower than a first value by a certain amount until a stable operation of the memory cell is ensured, a timing adjustment circuit configured to determine a time at which the potential of the word line signal is set to the second value, and a pull-up circuit configured to boost the potential of the word line signal from the second value to the first value according to the determined time.
An information processing device generates a first data group that is before transformation at an a-th diffusion stage. The information processing device obtains a third data group that is generated by a second quantum circuit according to a second data group that is before transformation at a b-th reverse diffusion stage. The information processing device trains the first quantum circuit to discriminate the first data group as true and to discriminate the third data group as false. The information processing device trains the second quantum circuit so that the trained first quantum circuit discriminates the third data group as true. The information processing device sets the trained second quantum circuit as a variational quantum circuit expressing an operation of the b-th reverse diffusion stage.
A non-transitory computer-readable recording medium stores therein an information notification program that causes a computer to execute a process including acquiring domain knowledge information including a work procedure of an operation to be monitored, analyzing video to be monitored and first identifying an image region of a person and an image region of an object to be worked by the person in the video, inputting a prompt composed of a feature of the identified image region of the person, a feature of the identified image region of the object, and the domain knowledge information to a large multi-modal model, and causing, when a work performed by the person in the video is not a behavior based on the work procedure of the operation, the large multi-modal model to generate information related to the work procedure, and notifying the generated information related to the work procedure.
A non-transitory computer-readable recording medium stores a generation program that causes a computer to execute a process including detecting an area in a store where a product is arranged, when an analysis result of the acquired purchase information during a certain period of time set in advance satisfies a predetermined condition, among a plurality of video images of the detected area, extracting an analysis result of each of the video images according to the certain period of time, every time the analysis result of the video image according to the certain period of time is extracted, storing the extracted analysis result of the video image in a storage, by inputting a prompt including the analysis result of the video image stored in the storage during a first period of time into a language model, and generating and outputting information on a measure to be taken in the store.
A quantum device includes a qubit substrate having qubits and conductive pads coupled to the qubits, the qubit substrate having a first thermal expansion coefficient; a first support having a second thermal expansion coefficient; a plurality of second supports each having a third thermal expansion coefficient disposed between the qubit substrate and the first support; a plurality of coupling members, each coupling the first support and a corresponding one of the second supports; and spring pins supported by the second supports and in contact with the conductive pads, wherein a control signal for controlling a state of each of the qubits is supplied to the corresponding conductive pad through the corresponding spring pin, and wherein an absolute value of a difference between the first and the second thermal expansion coefficients is smaller than an absolute value of a difference between the first and the third thermal expansion coefficients.
This information processing device estimates, from an image captured by a monocular camera, parameters including the focal length of the camera and the roll angle and pitch angle of the position of the camera, specifies the two-dimensional location of the head of a person standing upright and included in the image and the two-dimensional location of the feet of the same, and optimizes the height of the camera such that when the two-dimensional location of the head and the two-dimensional location of the feet are projected into a three-dimensional space using the parameters and the height of the camera, the distance from the three-dimensional location of the head and the three-dimensional location of the feet becomes a set value indicating the height of the person.
An information processing apparatus generates a second quantum circuit by converting a first two-qubit gate included in a first quantum circuit into a two-qubit gate sequence in which the gate operation of the first two-qubit gate is repeated a predetermined number of times consecutively. The information processing apparatus converts a second two-qubit gate, which forms a part of the two-qubit gate sequence included in the second quantum circuit, into a first equivalent circuit representing a gate operation with a first global phase. In addition, the information processing apparatus converts a third two-qubit gate, which forms a part of the two-qubit gate sequence, into a second equivalent circuit representing a gate operation with a second global phase. Thus, a third quantum circuit is generated. The information processing apparatus then causes a quantum computer to execute the third quantum circuit.
A processing unit acquires a predicted retrieval time for each container to be arranged in a storage location (predetermined area), and an estimated value of the standard deviation of the error between the predicted retrieval time and an actual retrieval time. The processing unit determines, for each container pair, a weight coefficient representing a swapping probability of a retrieval order, using the predicted retrieval time and the estimated value. The processing unit formulates a linear programming problem relating to the container arrangement, using an objective function in which decision variables are weighted by the weight coefficients. Each decision variable indicates, for a container pair, whether a first container is stacked on a second container having a later retrieval time. The processing unit performs a solving process of the linear programming problem according to the objective function, and outputs arrangement information on the containers as a solving result.
G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
25.
Computer-Readable Recording Medium Storing Information Processing Program, Information Processing Method, and Information Processing Device
A recording medium storing a program causing a computer to execute: acquiring, from a value table storing records in association with molecules, a value list including one or more records corresponding to the target molecule, each of the records including a combination of a first number, which indicates how many pieces one quantum calculation processing is distributed into, and a processing time of executing the quantum calculation processing once with the first number; determining, using the one or more records, the first number and a second number indicating how many pieces the multiple times of quantum calculation processing are distributed into, so as to reduce a processing time of executing multiple times of quantum calculation processing, while a product of the first and second numbers does not exceed a number of arithmetic devices available; and controlling the multiple times of quantum calculation processing, using the first and second numbers.
G06N 10/60 - Algorithmes quantiques, p. ex. fondés sur l'optimisation quantique ou les transformées quantiques de Fourier ou de Hadamard
G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p. ex. couplage ou commande de qubit
26.
PROGRAM, METHOD, AND DEVICE FOR APPROACH DETECTION
This device for approach detection: optimizes the height of a monocular camera by using parameters of the camera and a setting value related to the length of objects included in an image captured by the camera; calculates the three-dimensional position of the objects in the image by using the parameters of the camera and the optimized height of the camera; and outputs information related to the detection of at least one among the approach of the objects to each other and the approach of the objects to a predetermined area on the basis of the results of the calculation of the three-dimensional position of the objects.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE
A recording medium storing a program for causing a computer to execute: acquiring a first quantum circuit expressing an action of a time evolution operator regarding a target problem, a second quantum circuit having parameters and a smaller number of quantum gates than the first quantum circuit, and a third quantum circuit defining one or more quantum states being a part of quantum states regarding the target problem, in which each of the first, second, and third quantum circuits has a first size; creating first, second, and third local circuits each having a second size, by respectively reducing sizes of the first, second, and third quantum circuits to the second size smaller than the first size; calculating solutions of the parameters, so as to minimize a value of a cost function for each quantum state; and setting a quantum circuit expressing the action of the time evolution operator.
There is provided a non-transitory computer-readable medium storing a calculation program for causing a computer to execute a process. The process includes expanding a discrete variable indicating 1 or 0 to a continuous variable ranging from 0 to 1, and controlling strength of a bias of whether the continuous variable expanded resembles ½, or 0 or 1 during a sampling from a probability distribution of a discrete variable is performed.
A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including generating a set of a plurality of routes for a plurality of moving bodies that depart from a specific node and return to the specific node via a plurality of nodes, the plurality of routes representing an order in which the plurality of moving bodies visit a predetermined number of nodes among the plurality of nodes, solving a route selection problem generated using the generated set of routes and provided with constraints on a shipment volume of the specific node or a node serving as a delivery source of packages among the plurality of nodes, and outputting a result of solving the route selection problem.
A processor includes a cache that holds data read from a memory by a memory access request; a prefetch queue including entries to be respectively assigned to streams, each of the entries being used to control prefetching of data from the memory to the cache for a corresponding stream, the streams being memory access requests for consecutive addresses; a stride setting circuit that adjusts a stride in accordance with a number of valid entries to which the streams are respectively assigned, and reduces the stride as the number of the valid entries increases, the stride being a change amount between an access address and a prefetch destination address; and a prefetch management circuit that issues a prefetch request to the memory, using the adjusted stride, upon or after a number of the memory access requests for the consecutive addresses reaching a first threshold value for each of the streams.
G06F 12/0862 - Adressage d’un niveau de mémoire dans lequel l’accès aux données ou aux blocs de données désirés nécessite des moyens d’adressage associatif, p. ex. mémoires cache avec pré-lecture
32.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, SPECIFYING METHOD, AND INFORMATION PROCESSING APPARATUS
A non-transitory computer-readable recording medium has stored therein a specifying program that causes a computer to execute a process including acquiring an attribute of training data, acquiring a document related to a decision-making condition for a specific attribute of a user inputting a prompt including the attribute of the training data and a token of the document related to the decision-making condition to a large-scale language model and outputting an appearance probability of a token related to the attribute and specifying a label of a training target of a machine learning model from the training data based on the output appearance probability of the token.
An information processing apparatus includes a memory that stores document data and metadata of the document data in association with each other, and circuitry to transmit the document data to a first storage service to store the document data in the first storage service, receive a storage location address of the document data from the first storage service, and transmit the metadata and the storage location address to a second storage service to store the metadata and the storage location address in the second storage service. The second storage service is different from the first storage service.
THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO (Canada)
Inventeur(s)
Watanabe, Yasuhiro
Tamura, Hirotaka
Sanchez, Alexander Valencia
Rosenthal, Jeffrey Seth
Sheikholeslami, Ali
Abrégé
In executing trials each of which changes the value of a state variable included in state variable groups included in an evaluation function for a combinatorial optimization problem, a processing unit performs, based on evaluation function information on the evaluation function, a first process of determining a candidate for a first state variable whose value is to be changed in parallel for each state variable group, in each trial, with a first probability, performs, based on the evaluation function information, a second process of selecting one second state variable and determining whether to accept a change in the value thereof in parallel for each state variable group, in each trial, with a second probability, updates the value of the first state variable selected from the candidates determined by the first process, and updates the value of a second state variable whose change is accepted by the second process.
THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO (Canada)
Inventeur(s)
Furue, Yuki
Watanabe, Yasuhiro
Yin, Fang
Tamura, Hirotaka
Sanchez, Alexander Valencia
Rosenthal, Jeffrey Seth
Sheikholeslami, Ali
Abrégé
A search unit performs a search process. In the search process, a first process and a second process are iteratively performed. The first process is a process of selecting a change-target state variable from a plurality of state variables included in an evaluation function, based on the amounts of change in the value of the evaluation function caused by updating the values of the individual state variables and a first function that is a function representing a selection criterion for the change-target state variable according to the amounts of change. The second process is a process of updating the value of the selected change-target state variable. A control unit switches the function used by the search unit in the search process to a second function different from the first function.
A non-transitory computer-readable recording medium stores therein an output program that causes a computer to execute a process including receiving information related to a policy, identifying a policy model composed of a plurality of components that prescribes content related to the policy in a hierarchical structure using the received information related to the policy, generating a policy model in which one or more components corresponding to the information related to the policy among a plurality of components possessed by the identified policy model are changed and outputting the generated policy model.
A recording medium stores a program for causing a computer to execute processing including: calculating energy of a molecule by a VQE and acquiring a number of iterations of the VQE for a molecular structure of each interatomic distance in the molecule by using quantum circuit information that represents a second quantum circuit obtained by reducing a number of Rz gates in a first quantum circuit, in which, when a cumulative increase number of the number of iterations from a first number of a first interatomic distance to a second number a second interatomic distance longer than the first interatomic distance becomes a threshold or more, the quantum circuit information is changed to quantum circuit information that represents a third quantum circuit obtained by increasing the number of Rz gates of the second quantum circuit.
G16C 10/00 - Chimie théorique computationnelle, c.-à-d. TIC spécialement adaptées aux aspects théoriques de la chimie quantique, de la mécanique moléculaire, de la dynamique moléculaire ou similaires
G06N 10/20 - Modèles d’informatique quantique, p. ex. circuits quantiques ou ordinateurs quantiques universels
G06N 10/60 - Algorithmes quantiques, p. ex. fondés sur l'optimisation quantique ou les transformées quantiques de Fourier ou de Hadamard
G16C 20/20 - Identification d’entités moléculaires, de leurs parties ou de compositions chimiques
38.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
An information processing device (100) extracts a plurality of topics in which a first user is interested and thinking tendency of the first user on the basis of content posted by the first user, in a network community. The information processing device (100) extracts topics in content posted by the first user and a plurality of second users in the community, and generates a context graph including a plurality of pieces of the posted content which are related to the same topic. The information processing device (100) updates the context graph by summarizing, on the basis of the thinking tendency, the plurality of pieces of the posted content which are included in the context graph. When a question is received from the first user, the information processing device (100) generates an answer to the question on the basis of the context graph corresponding to the topic of the question.
H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
H04L 51/52 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel pour la prise en charge des services des réseaux sociaux
39.
COMPUTER-READABLE RECORDING MEDIUM, TRAINING METHOD, AND INFORMATION PROCESSING DEVICE
A non-transitory computer-readable recording medium stores therein a training program that causes a computer to execute a process including first inputting a first image capturing a target compound to an encoder of an auto-encoder including a latent space that is isometric with respect to an input space, second inputting a latent variable output by the encoder and a typical compound model corresponding to a typical case of a three-dimensional structure of the target compound to a decoder of the auto-encoder, and updating parameters of the encoder and the decoder, based on a reconfiguration error between a second image reconfigured based on an output of the encoder and the first image.
The present invention improves efficiency of data extraction. A processing unit (12) receives a designated number of pieces of data to be extracted from among a plurality of pieces of data each indicating a point in an N-dimensional space (20) (where N is an integer of 1 or greater). The processing unit (12) divides the N-dimensional space (20) into a first number of areas. For each of the first number of areas, the processing unit (12) performs a selection process for selecting one piece of data out of pieces of data from among the plurality of pieces of data which are present in the area. The processing unit (12) determines whether or not the total number of pieces of selected data is the same as the designated number. When the total number is not the same as the designated number, the processing unit (12) changes the number of areas partitioning the N-dimensional space (20) to a second number different from the first number, and performs the selection process.
A computer-readable recording medium stores therein a program for causing a computer to execute a process, the process including: identifying, among a plurality of jobs submitted to a system having a plurality of nodes, one or more jobs for which a waiting period during which the one or more jobs awaits execution exceeds a predetermined length, the one or more jobs being identified based on record information that for each of the plurality of jobs, indicates a number of nodes that execute the each of the plurality of jobs, a time point at which the each of the plurality of jobs is submitted, and a time point at which execution of the each of the plurality of jobs is started; and generating output information that visualizes, for each of the identified one or more jobs, the number of nodes that execute the each of the identified one or more jobs and the waiting period during which the each of the identified one or more jobs awaits execution.
A method for bias detection in large language models (LLMs) is disclosed. The method includes receiving a plurality of contrastive questions for a plurality of contexts. A prompt including at least two questions of the plurality of contrastive questions may be received. An LLM may be applied on the prompt to generate a set of reasonings associated with the at least two questions and a set of scores associated with the set of reasonings. Statistical hypothesis testing model may be applied on the set of scores. It may be determined whether the at least two questions are statistically different. A set of biases associated with the LLM may be detected, based on the statistical difference. Rendering of first information including the set of biases may be controlled.
There is provided a non-transitory computer-readable medium having stored therein a training program for causing a computer to execute a process, in training a machine learning model capable of generating self-sampled data based on a probability distribution estimated for sampled data. The process includes generating the self-sampled data from the machine learning model in process of training, and training the machine learning model so that a third loss function becomes small. The third loss function includes a first loss function of unsupervised training based on the sampled data and a second loss function of supervised training based on the sampled data and the self-sampled data.
A correction method includes acquiring time-series skeleton information in which a plurality of joints included in a human body and coordinates of the plurality of joints are set respectively determining a motion state in a correction section based on first skeleton information in front of the correction section and second skeleton information behind the correction section with respect to the time-series skeleton information and correcting skeleton information in the correction section based on a result of determining the motion state, by a processor.
A policy output method includes acquiring regional characteristics of a first region to which a policy is applied, referring to a storage that stores other policies applied to each of a plurality of second regions and regional characteristics of each of the plurality of second regions, calculating a similarity measure between regional characteristics of the first region and each of regional characteristics of the plurality of second regions, and outputting a policy applied to a similar region having the similarity measure equal to or greater than a threshold among the plurality of other policies stored in the storage, by a processor.
G01N 33/487 - Analyse physique de matériau biologique de matériau biologique liquide
G16H 40/20 - TIC spécialement adaptées à la gestion ou à l’administration de ressources ou d’établissements de santéTIC spécialement adaptées à la gestion ou au fonctionnement d’équipement ou de dispositifs médicaux pour la gestion ou l’administration de ressources ou d’établissements de soins de santé, p. ex. pour la gestion du personnel hospitalier ou de salles d’opération
47.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, MACHINE TRAINING DEVICE, AND MACHINE TRAINING METHOD
A non-transitory computer-readable recording medium stores therein a program that causes a computer to execute a process including acquiring a multi-objective optimization problem including a plurality of cost functions, extracting a plurality of weight parameters based on a simplex constructed by points corresponding to a number of the weight parameters that weight the respective cost functions, and training a machine training model that outputs a second solution set corresponding to a predetermined weight parameter by inputting a mapping to a first solution set corresponding to the weight parameters.
This camera control program causes a computer to execute a process of controlling driving of a camera by instructing the camera to operate at a panning speed determined according to a moving speed of a subject in a panning direction, if the moving speed of the subject in the panning direction is equal to or greater than a predetermined value.
H04N 23/695 - Commande de la direction de la caméra pour modifier le champ de vision, p. ex. par un panoramique, une inclinaison ou en fonction du suivi des objets
G03B 15/00 - Procédés particuliers pour prendre des photographiesAppareillage à cet effet
G03B 17/00 - Parties constitutives des appareils ou corps d'appareilsLeurs accessoires
H04N 23/61 - Commande des caméras ou des modules de caméras en fonction des objets reconnus
49.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE
A non-transitory computer-readable recording medium has stored therein an information processing program that causes a computer to execute a process. The process includes causing an agent corresponding to a person present in a real world to generate use experience of a service by performing a simulation regarding use of the service by the agent corresponding to the person in a digital twin in which the real world is reproduced on a virtual space. The process includes setting information regarding use intention of the service possessed by the agent corresponding to the person based on the generated use experience.
Inter-University Research Institute Corporation Research Organization of Information and Systems (Japon)
Inventeur(s)
Goshima, Masahiro
Ge, Yi
Abrégé
An arithmetic unit that executes matrix multiplication operation C=A×B or matrix multiply-accumulate operation C=A×B+Cin, the arithmetic unit including the matrix A regarded as being divided into blocks Aik each being an l×1 column vector, the matrix B regarded as being divided into blocks Bkj each being a 1×m row vector, accumulating l×m outer products of the blocks Aik and the blocks Bkj in a processing tile including l×m processing elements performing element-wise multiply-accumulate operation on the matrices, and executing output-stationary systolic-array-based operation in units of the processing tile across an entirety of the arithmetic unit.
A non-transitory computer-readable recording medium has stored therein a machine learning program that causes a computer to execute a process including specifying an autoencoder in which a difference between input data and output data is equal to or greater than a predetermined standard from among autoencoders that are included in a data generation model, in a case where a training is performed on the data generation model that includes a plurality of autoencoders that are disposed in a first stage and one or more autoencoders that are disposed in an Nth stage and performing the training on the data generation model by using the specified autoencoder, and the autoencoder that receives, as the input data, the output data that has been output from the specified autoencoder as a target for the training.
An information processing apparatus includes a first operation portion to receive a first operation to start a predetermined process, a second operation portion to receive a second operation and to be controlled to change a display mode, and control circuitry to control the second operation portion to display a predetermined display when a state of the information processing apparatus satisfies a start condition for starting the predetermined process and does not satisfy a prevention condition for preventing execution of the predetermined process.
G06F 3/041 - Numériseurs, p. ex. pour des écrans ou des pavés tactiles, caractérisés par les moyens de transduction
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/04886 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] utilisant des caractéristiques spécifiques fournies par le périphérique d’entrée, p. ex. des fonctions commandées par la rotation d’une souris à deux capteurs, ou par la nature du périphérique d’entrée, p. ex. des gestes en fonction de la pression exercée enregistrée par une tablette numérique utilisant un écran tactile ou une tablette numérique, p. ex. entrée de commandes par des tracés gestuels par partition en zones à commande indépendante de la surface d’affichage de l’écran tactile ou de la tablette numérique, p. ex. claviers virtuels ou menus
53.
ROAD DAMAGE DETECTION APPARATUS AND METHOD, AND ELECTRONIC APPARATUS
Provided in the embodiments of the present application are a road damage detection apparatus and method, and an electronic device. The road damage detection apparatus comprises: an extraction apparatus, which extracts from an image a first region including a road, wherein the area of the first region is smaller than the area of the image; a detection apparatus, which respectively inputs the first region into a plurality of detection models in the detection apparatus, wherein each detection model outputs a detection result for the first region; and a post-processing apparatus, which performs processing on the detection results respectively outputted by the plurality of detection models, so as to generate a detection result reflecting damages on the road. In the road damage detection apparatus of the present application, a plurality of detection models are used to perform road damage detection on an extracted road region image, and the plurality of detection models can detect road damages of different shapes and/or different sizes, thereby improving the accuracy of road damage detection.
An information processing device (100) generates a plurality of pieces of unknown structure data by executing a molecular dynamics simulation using a result obtained by inputting, to a machine learning potential, structure data in which the positions of a plurality of atoms are set. A computer executes screening on the plurality of pieces of unknown structure data using uncertainty of predicted values of forces acting on atoms estimated from the unknown structure data and structural feature quantities of the unknown structure data. The computer trains the machine learning potential using training data based on the structure data obtained by the screening.
A computer-implemented method comprising training a quantum generative adversarial network, QGAN, comprising a quantum generator and a quantum discriminator, according to a QGAN training process comprising: generating, using a quantum encoder and based on training data, compressed latent representations of the training data; generating, using the quantum generator, synthetic compressed latent representations; generating, using the quantum discriminator, predictions indicating whether each of the compressed latent representations and the synthetic compressed latent representations has been generated by the quantum encoder or by the quantum generator; and adjusting, based on the predictions, weights of the QGAN.
Embodiments of the present application provide a PUSCH transmission method and apparatus, a PUSCH reception method and apparatus, and a communication system. The PUSCH transmission method comprises: a terminal device receiving information for configuring a first frequency domain resource and/or information for configuring a second frequency domain resource; and transmitting, on an uplink BWP, a PUSCH scheduled or activated by a random access response (RAR) or downlink control information (DCI), wherein the PUSCH is repeated, and a plurality of slots for the PUSCH are determined at least on the basis of a first uplink-downlink configuration and an SSB configuration.
An information processing device identifies multiple divided regions obtained by dividing an entire region of a logical qubit. The information processing device determines in each divided region of the identified plurality of divided regions and based on the obtained syndrome of each auxiliary qubit, a data qubit that is to be judged as having an error. The information processing device updates the obtained syndrome of each auxiliary qubit, based on the data qubit determined to be judged as having an error in the logical qubit. The information processing device determines the data qubit that is to be judged as having an error in a partial region shared by the divided regions, based on the updated syndrome of each auxiliary qubit.
A computer-readable recording medium stores therein a program for causing a computer to execute a process, the process including: obtaining a plurality of data sets each including a plurality of data including respective values of any two or more variables of a plurality of variables; obtaining a plurality of variance-covariances respectively in the obtained plurality of data sets; and calculating, based on the plurality of variance-covariances, a combination of a first matrix representing orthogonal components common to a plurality of variance-covariance matrices respectively in the plurality of data sets and a second matrix for each of the plurality of variance-covariance matrices and representing a dependency relationship between the any two or more variables of the plurality of variables.
A computer-readable recording medium stores therein an information processing program for causing a computer to execute a process including: generating a plurality of first quantum circuits by a local compilation method, the first quantum circuits representing an action of a time evolution operator for a first time period and having a depth smaller than a depth of a first target quantum circuit representing the action of the time evolution operator for the first time period; and generating a second quantum circuit by the local compilation method, the second quantum circuit being smaller in depth than a second target quantum circuit obtained by combining two or more of the generated first quantum circuits and representing the action of the time evolution operator for a second time period longer than the first time period, the second quantum circuit representing the action of the time evolution operator for the second time period.
A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process including acquiring a distribution of latent variables output from an encoder in a process of training an autoencoder, generating a path related to deformation based on the distribution of the latent variables, selecting, from a plurality of latent variables generated by inputting a plurality of particle images to the trained encoder, a plurality of neighboring latent variables of which a distance to the path is less than a threshold, selecting a plurality of neighboring particle images corresponding to the plurality of neighboring latent variables among the plurality of particle images, and estimating a plurality of three-dimensional atom models based on the plurality of neighboring particle images.
A non-transitory computer-readable recording medium has stored therein an information processing program that causes a computer to execute a process including acquiring training data in which structural information of a protein is used as input data and a difference between reference energy specified based on energy corresponding to the protein and the energy is used as correct data and training a model for inferring energy of the protein based on the training data.
G16B 40/00 - TIC spécialement adaptées aux biostatistiquesTIC spécialement adaptées à l’apprentissage automatique ou à l’exploration de données liées à la bio-informatique, p. ex. extraction de connaissances ou détection de motifs
A quantum frequency converter includes a laminate including at least one topological insulator film and at least one ferromagnetic film that are laminated together. The laminate includes an interface between the topological insulator film and the ferromagnetic film and configured to be irradiated with laser light. The quantum frequency converter includes a magnetic field applying unit configured to apply a magnetic field with a component perpendicular to the interface to the laminate, and a microwave transceiver configured to transmit and receive a microwave to and from the laminate.
G02F 1/09 - Dispositifs ou dispositions pour la commande de l'intensité, de la couleur, de la phase, de la polarisation ou de la direction de la lumière arrivant d'une source lumineuse indépendante, p. ex. commutation, ouverture de porte ou modulationOptique non linéaire pour la commande de l'intensité, de la phase, de la polarisation ou de la couleur basés sur des éléments magnéto-optiques, p. ex. produisant un effet Faraday
G02F 1/00 - Dispositifs ou dispositions pour la commande de l'intensité, de la couleur, de la phase, de la polarisation ou de la direction de la lumière arrivant d'une source lumineuse indépendante, p. ex. commutation, ouverture de porte ou modulationOptique non linéaire
G06N 10/40 - Réalisations ou architectures physiques de processeurs ou de composants quantiques pour la manipulation de qubits, p. ex. couplage ou commande de qubit
According to an aspect of an embodiment, a method may include obtaining first real-time observational data corresponding to current conditions within an operational area of a vehicle, the first real-time observational data corresponding to the operational area of the vehicle. A first forecast of one or more weather conditions associated with the operational area of the vehicle may be generated using an artificial intelligence (AI) forecasting model and based on the first real-time observational data. The first forecast may be tailored for and according to the operational area of the vehicle. The method may include generating navigation routes for the vehicle in the operational area based on the first forecast, the vehicle navigating the operational area according to the navigation routes.
G01C 21/34 - Recherche d'itinéraireGuidage en matière d'itinéraire
G01C 21/36 - Dispositions d'entrée/sortie pour des calculateurs embarqués
G01W 1/02 - Instruments pour indiquer des conditions atmosphériques par mesure de plusieurs variables, p. ex. humidité, pression, température, nébulosité ou vitesse du vent
G01W 1/10 - Dispositifs pour la prévision des conditions météorologiques
64.
NON-TRANSITORY COMPUTER-EXECUTABLE MEDIUM AND INFORMATION PROCESSING SYSTEM
A non-transitory computer-executable medium storing a plurality of instructions which, when executed by a processor, cause the processor to perform a method. The method includes determining a recommended setting by performing a comparison analysis using a first image and a second image, or displaying the first image and the second image side-by-side. The recommended setting is a setting in a second image reading apparatus and/or a second image processor. The recommended setting is a setting causing an image obtained using the second image reading apparatus and the second image processor to be similar to an image obtained using a first image reading apparatus and a first image processor.
09 - Appareils et instruments scientifiques et électriques
41 - Éducation, divertissements, activités sportives et culturelles
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Cash registers; Automated banking machines; Fire alarms; Gas alarms; Anti-theft warning apparatus; Laboratory apparatus and instruments; Photographic machines and apparatus; Cinematographic machines and apparatus; Optical machines and apparatus; Measuring or testing machines and instruments; Power distribution or control machines and apparatus; Batteries, electric; Electrochemical power generator, including fuel cells; Electric or magnetic meters and testers; Electric wires and cables; Telecommunication machines and apparatus; Radio machines and apparatus; Radio beacon machines and apparatus; Computers; Computer programs; Computer software; Electronic machines, apparatus and their parts; Industrial X-ray machines and apparatus, not for medical use; Magnetic object detectors; Ultrasonic flaw detectors; Ultrasonic sensors; Wearable computers; Wearable displays; Smartglasses; Smart rings; Personal digital assistants in the shape of a watch; Virtual reality headsets; Humanoid robots with artificial intelligence for use in scientific research; Humanoid robots with artificial intelligence for use in teaching; Game programs for home video game machines; Electronic circuits and CD-ROMs recorded with programs for hand-held games with liquid crystal displays; Electronic circuits and CD-ROMs recorded with automatic performance programs for electronic musical instruments; Phonograph records; Downloadable music files; Prerecorded video discs, video tapes, and other video recordings; Downloadable image files, video files and movie files; Electronic publications, downloadable Providing of training and education; Entertainment services; Educational and instruction services relating to arts, crafts, sports or general knowledge; Providing information about education; Correspondence courses; Arranging, conducting and organization of seminars; Arranging, conducting and organization of seminars, forums, workshops, conference relating to intellectual properties; Providing electronic publications; Services of reference libraries for literature and documentary records; Duplication of sound and video recordings; Electronic publishing services; Electronic desktop publishing; Providing online images, not downloadable; Providing online videos, not downloadable; Entertainment services provided in virtual environments; Virtual reality arcade services; Virtual reality game services provided on-line from a computer network; Organization of entertainment events excluding movies, shows, plays, musical performances, sports, horse races, bicycle races, boat races and auto races; Organization, arranging and conducting of sports competitions; Providing facilities for seminars and symposiums, and providing information thereof; Providing facilities for education and training, and providing information thereof; Providing facilities for movies, shows, plays, music or educational training; Translation; Book rental; Rental of records or sound-recorded magnetic tapes; Rental of image-recorded magnetic tapes; Arranging of exhibitions, seminars and conferences; Transfer of business knowledge and know-how [training]; Provision of educational courses, lectures, seminars, and of youth training schemes; Organization of exhibitions for cultural or educational purposes; Arranging and conducting of exhibitions for entertainment purposes; Arranging and conducting of seminars; Arranging and conducting of training seminars; Providing online training seminars; Providing training and educational examination for certification purposes; Organization of educational and entertainment events for professionals and executives; Providing online translation by computer terminals and other translation services; Arranging, conducting and organization of seminars relating to liquor; Arranging, conducting and organization of events and contests relating to cooking or food Design of computers, electronic machines, telecommunication machines and apparatus, and consultancy thereof; Designing of machines, apparatus, instruments [including their parts] or systems composed of such machines, apparatus and instruments; Providing information regarding design of computers; Designing, other than for advertising purposes; Computer software design, computer programming, or maintenance of computer software; Provision of information relating to computer programming; Information processing by computers; Computer programming for computer systems; Advice in relation to computer systems; Monitoring of computer systems; Configuration, installation, enhancement, modification, addition and optimization, and providing information thereof; Computer programming, installation, enhancement, modification, addition, maintenance and optimization, and providing information thereof; Consultancy on computer programming; Computer programming for telecommunication network systems; Consultancy on computer programming for telecommunication network systems; Consultancy and diagnosis concerning security on telecommunication network system; Data encryption services; Digital watermarking via computers; Fault diagnosis and virus testing for computer programs; Conversion of computer programs and computer data; Copying of computer program; Internet security consultancy; Computer security consultancy; Data security consultancy; Providing information for computer programming of computer system; Consulting services in the field of cloud computing; Creating or maintaining web sites for others; Provision of online search engines; Technological advice relating to computers, automobiles and industrial machines; Testing, inspection or research of pharmaceuticals, chemicals, cosmetics or foodstuffs; Research on civil engineering, building construction and city planning, and consultancy thereof; Consultancy on testing, data analysis, or measurements related to civil engineering, construction; Testing, inspection or research on agriculture, livestock breeding or fisheries, and consultancy thereof; Testing and research services relating to computers and computer programs; Testing and research services relating to telecommunication machines and their peripherals; Research in the area of semiconductor; Testing and research services relating to semiconductor manufacturing machines, and consultancy thereof; Testing and research services relating to machines, apparatus and instruments, and consultancy thereof; Research in the field of artificial intelligence technology; Rental of computers; Providing computer programs on data networks; Online storage of computers; Rental of web servers; Server hosting; Cloud computing; Software as a service [SaaS]; Platform as a service [PaaS]; Creating manuals of computers and computer programs; Creating user manuals of computer operation and computer programs; Consultancy relating to technical research in the field of food and beverages; Data processing by computers; User authentication service for e-commerce
66.
QUANTUM DEVICE AND METHOD FOR MANUFACTURING QUANTUM DEVICE
A quantum device includes a first waveguide, an optical resonator that is coupled to the first waveguide, a first light source that introduces first light into the first waveguide, and a second light source that irradiates the optical resonator with second light. The optical resonator includes a second waveguide extending in a first direction and a color center provided in the second waveguide. The second light source has an optical axis in a second direction perpendicular to the first direction, and the color center is irradiated with the second light.
G02B 6/293 - Moyens de couplage optique ayant des bus de données, c.-à-d. plusieurs guides d'ondes interconnectés et assurant un système bidirectionnel par nature en mélangeant et divisant les signaux avec des moyens de sélection de la longueur d'onde
67.
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN DRUG EFFICACY PREDICTING PROGRAM, METHOD FOR PREDICTING DRUG EFFICACY, AND DRUG EFFICACY PREDICTING DEVICE
A non-transitory computer-readable recording medium has stored therein a drug efficacy predicting program for causing a computer to execute a process including: predicting, by using a first machine learning model, a difference in drug efficacy between one or more of two data combinations under a same experimental system, each of the two data combinations including at least one common item among items of a drug and a cell line; and predicting, by using a second machine learning model, one or more drug efficacies of two or more data using the predicted difference.
G16H 70/40 - TIC spécialement adaptées au maniement ou au traitement de références médicales concernant des médicaments, p. ex. leurs effets secondaires ou leur usage prévu
G06N 20/20 - Techniques d’ensemble en apprentissage automatique
68.
QUANTUM COMPUTING SUPPORT METHOD AND INFORMATION PROCESSING APPARATUS
An information processing apparatus expands an imaginary time evolution equation for calculating a thermal-equilibrium expectation value into equations of a plurality of degrees, generates sets of the degrees, and generates, for each set, a quantum circuit indicating quantum computation of a physical quantity value obtained by partial imaginary time evolution. A quantum computer is caused to repeatedly execute quantum computation based on the quantum circuit for each set. When doing so, a state in a stationary distribution of measurement results obtained by quantum computation based on a second quantum circuit corresponding to a second set is used as an input state at the start of quantum computation based on a first quantum circuit corresponding to a first set. The thermal-equilibrium expectation value of the physical quantity at the finite temperature is then calculated based on the values of the physical quantity after convergence for each set.
Disclosed are an accident detection method and apparatus, and a storage medium. The method comprises: receiving an input video; identifying a plurality of objects in the video; when a specific object from the plurality of objects complies with a predetermined rule of transitioning from a moving state to a stopped state and finally remaining in the stopped state, determining that the occurrence of a potential accident is experienced by the specific object; determining a frame image in the video where the occurrence of a potential accident is experienced by the specific object; and instructing a trained image processing model to analyze and process the frame image, so as to determine whether the occurrence of an accident is experienced by the specific object.
G06V 10/762 - Dispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant le regroupement, p. ex. de visages similaires sur les réseaux sociaux
70.
INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE
This information processing device acquires video including a person to be detected and acquires person information which is output using a prescribed video analysis technique and which is associated with at least one of attribute information and behavior information of the person included in the video. The information processing device inputs a prompt based on the person information to an agent that generates, in response to the inputted information, an advertisement for the person included in the video. The information processing device verifies, on the basis of the person information, whether a prescribed effect is obtained with respect to the advertisement which is output as a response to the prompt. The information processing device changes the prompt by using the relationship among the verification result, the advertisement which is output as the response, and the person information.
An information processing device according to the invention acquires a first video to be analyzed and a request for the first video. If the first video and the request are input to a first agent that generates information according to input information, the information processing device identifies, from among a plurality of second agents that can cooperate with the first agent, an agent that simulates a persona and an agent that generates a second video. The information processing device uses the first video and the request as input and executes an agent simulating the persona, thereby generating an evaluation result that evaluates the first video on the basis of the request and the persona. The information processing device uses the generated evaluation result and the first video as input and executes an agent that generates a second video, thereby generating the second video on the basis of the generated evaluation result, and on the basis of the second video, the first agent outputs the second video and a text related to the second video as a response to the request.
This information processing device: acquires images captured inside of a facility; identifies the type of an action performed by a person present in the facility by analyzing the acquired images; generates graph data in which information on site characteristics of the facility is associated with the identified type of action of the person; and inputs, to a language model, a prompt that includes a request related to a measure to be used in the facility and the results of searching the generated graph data, and thereby generates, as a response to the request, information related to the measure.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE
A VQE calculation time is shortened. An information processing device (10), which is configured to execute update processing of a parameter applied to a variational quantum circuit (1) for VQE calculation multiple times, determines a value of a coefficient used in the update processing of the parameter for each time, as a value that periodically changes to a value higher than a reference value and a value lower than the reference value with an increase in the number of times of update indicating how many times the update processing is performed. In the update processing executed the multiple times, the device (10) determines a change amount of the value of the parameter according to the value of the coefficient determined for the number of times of update of the update processing to be executed, and updates the value of the parameter to a value changed by the determined change amount.
A non-transitory computer-readable recording medium stores a program for causing a computer to execute an estimation process including: setting a plurality of predetermined positions, a position of a base station, and communication volume of the base station for each predetermined time in a target area; and estimating the communication volume of each of the predetermined positions based on at least one of a first correlation of the communication volume based on the predetermined positions and another predetermined position or a second correlation based on a time of the communication volume of the predetermined positions at a time of estimating the communication volume of each of the predetermined positions in the predetermined time on an assumption of a terminal that communicates with the base station for each of the predetermined positions based on the setting.
The present disclosure relates to a method, a device, and a storage medium for multiple object tracking. According to an embodiment of the present disclosure, the method comprises: determining a plurality of object whole-body detection boxes in a current input image by performing object whole-body detection, and, determining a plurality of object head detection boxes in the current input image by performing object head detection; determining whole-body identifiers of the plurality of object whole-body detection boxes; determining head identifiers of the plurality of object head detection boxes; determining a plurality of object whole-body prediction boxes corresponding to the plurality of object head detection boxes; determining object whole-body association boxes of the plurality of object head detection boxes in the plurality of object whole-body detection boxes; and updating the object whole-body trajectory set based on whole-body identifiers of the object whole-body association boxes.
An information processing device having a controller configured to: when iterations of updating parameters defining a variational quantum circuit are executed according to a variational quantum eigensolver method, determine for each first parameter, a number of level values settable as a value thereof based on a first degree of contribution of the first parameter to an amount of change in energy corresponding to a quantum state represented by the variational quantum circuit; calculate for each first parameter, a second degree of contribution thereof to the variational quantum eigensolver method, based on the energy in each of two or more patterns representing combinations of level values to be set as the value of the first parameter when setting one of the level values of the number determined for the first parameter; and set, as parameters to be updated, each second parameter that among the first parameters has a relatively high second degree of contribution.
A computer-readable recording medium stores therein an information processing program that causes a computer to execute a process, the process including generating a causal graph coupling a plurality of nodes by directed edges based on a plurality of data serving as a basis in generating the causal graph, the causal graph being generated so as to optimize a value of an objective function that includes a first term indicating that the more destination connections and connection sources shared between different nodes in the causal graph, a higher is an evaluation thereof; and updating the generated causal graph so as to aggregate, among the plurality of nodes, two or more nodes sharing a common connection destination and a common connection source, the two or more nodes being aggregated into a single node.
A non-transitory computer-readable recording medium stores therein a generation program of a neural network used as a subnetwork to be added to an image generation AI, the generation program causes a computer to execute a process including training each of a plurality of neural networks using a training dataset that includes a plurality of pieces of training data where image data corresponding to specific concepts different for each of the neural networks is associated with a specific token and part of a plurality of tokens different from the specific token, and fusing the neural networks after the training to generate a subnetwork that corresponds to a plurality of concepts.
A computer-readable recording medium stores therein an information processing program for causing a computer to execute a process, the process including: classifying a plurality of items in to a plurality of groups; searching for a causal order so as to increase a likelihood of an estimation result of a regression model, the causal order indicating a presence of a causal relationship in a direction from one group to another group between at least some of the plurality of groups, the regression model estimating a value of a downstream item based on a value of an upstream item in a causal relationship; and outputting a directed acyclic graph generated based on the discovered causal order and representing a presence of a causal relationship in a direction from one item to another item, between at least some of the plurality of items.
G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
80.
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN REINFORCEMENT LEARNING PROGRAM, METHOD FOR REINFORCEMENT LEARNING, AND INFORMATION PROCESSING APPARATUS
A computer-readable recording medium having stored therein a reinforcement learning program that causes a computer to execute a process including: executing reinforcement learning of a machine learning model, using a first three-dimensional (3D) molecular structure of a first compound to be adapted to a first object as a state, assignment of a type of an additional atom, a binding position of the additional atom to the first 3D molecular structure, and a 3D position of the additional atom, to the first compound in the state as an action, and an index to evaluate a second 3D molecular structure obtained by binding the additional atom to the first 3D molecular structure in the action as a reward.
A non-transitory computer-readable recording medium stores therein an analysis program that causes a computer to execute a process includes first extracting a specific condition having a specific correlation with the objective variable among conditions for at least a part of the plurality of explanatory variables, second extracting a set of combinations of a value of a predetermined explanatory variable and a value of the objective variable indicated by predetermined variable relationship information from the set of data based on the specific condition, dividing the set of combinations into a first group and a second group; and comparing positive and negative signs of a first coefficient indicating a relationship between the predetermined explanatory variable and the objective variable represented by a combination of the first group with positive and negative signs of a second coefficient indicating a relationship between the predetermined explanatory variable and the objective variable represented by a combination of the second group.
An information processing device includes a control unit. The control unit executes a process including acquiring experimental data including an experimental condition of each of a plurality of times of experiments and an observed value under the experimental condition, and generating graph data indicating a topological structure of a geometric figure representing a correspondence between the experimental condition and the observed value in a multidimensional space with each of the experimental condition and the observed value being a dimension.
G16C 60/00 - Science informatique des matériaux, c.-à-d. TIC spécialement adaptées à la recherche des propriétés physiques ou chimiques de matériaux ou de phénomènes associés à leur conception, synthèse, traitement, caractérisation ou utilisation
A non-transitory computer-readable recording medium stores therein a display program that causes a computer to execute a process including based on a first dataset, generating a second dataset that is virtual and has a causal relationship between variables included in the first dataset, in accordance with an estimation result indicating the causal relationship, calculating reliability of each inter-variable relationship between a first variable serving as a cause in the causal relationship and a second variable serving as an effect in the causal relationship, based on difference between the first dataset and the second dataset, and displaying the calculated reliability of each inter-variable relationship.
A computer-readable recording medium stores therein a control program that causes a computer to execute a process, the process including: generating an intermediate representation corresponding to input data, the intermediate representation being generated using a trained model; training a distribution of latent representations corresponding to the generated intermediate representation, using a predetermined encoder generating the latent representation from the intermediate representation and a predetermined decoder corresponding to the predetermined encoder and generating an intermediate representation different from the intermediate representation; selecting, from the trained distribution, a sample of the latent representation based on a probability distribution; generating, using the predetermined decoder, a new intermediate representation corresponding to the selected sample; and generating, using the trained model, output data corresponding to the generated new intermediate representation.
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN INFERENCE PROGRAM
A non-transitory computer-readable recording medium having stored therein a machine learning program for causing a computer to execute processing including: determining a window interval having a peak and a feature related to the window interval based on a spectrum related to partial autocorrelation for each of the plurality of window intervals indicating a variation of an index of time-series data; and performing machine learning of a model that predicts the variation of the index after a first time point from the variation of the index before the first time point using the determined feature.
A non-transitory computer-readable recording medium stores therein a layout generation program that causes a computer to execute a process including performing a first causal search for a plurality of products and an evaluation value of a product layout based on a result of a simulation of a customer behavior executed using each of a plurality of the product layouts in a store and obtaining a causal relationship between the plurality of products and the evaluation value, specifying a product arrangement pattern that affects the evaluation value based on the causal relationship, performing a second causal search for the plurality of products, the evaluation value, and the product arrangement pattern, generating a specific product layout based on a result of the second causal search, and outputting the specific product layout.
G06F 30/13 - Conception architecturale, p. ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06Q 30/0201 - Modélisation du marchéAnalyse du marchéCollecte de données du marché
87.
INFORMATION PROCESSING APPARATUS AND ERROR ESTIMATION METHOD
An information processing apparatus identifies a pair of second vertices corresponding to second qubits in which errors are detected through syndrome measurement, the pair being determined to be at a short distance based on a first determination criterion as to whether the distance between the second vertices is long or short. The information processing apparatus determines, based on first weights of first edges included in a path connecting the pair in a first decode graph, a second weight for a second edge connecting the paired second vertices. The information processing apparatus generates a second decode graph that includes the paired second vertices and a second edge connecting the paired second vertices, the second edge being assigned the second weight. Then, the information processing apparatus estimates a third qubit in which an error has occurred, based on the second weight of the second edge in the second decode graph.
A method to train a diffusion model for satellite observation precipitation data downscaling may include obtaining high-resolution (HR) ground observation precipitation data that has a first resolution. The method may include obtaining corresponding low-resolution (LR) satellite observation precipitation data that has a second resolution lower than the first resolution. The method may include upsampling the LR satellite observation precipitation data that has the second resolution to generate upsampled satellite observation precipitation data that has the first resolution. The method may include generating training residuals from the HR ground observation precipitation data and the corresponding upsampled satellite observation precipitation data. The method may include adding noise to the training residuals. The method may include de-noising the noisy training residuals using a diffusion model to generate predicted residuals. The method may include updating the diffusion model using a loss function that depends on the training residuals and the predicted residuals.
G06V 10/774 - Génération d'ensembles de motifs de formationTraitement des caractéristiques d’images ou de vidéos dans les espaces de caractéristiquesDispositions pour la reconnaissance ou la compréhension d’images ou de vidéos utilisant la reconnaissance de formes ou l’apprentissage automatique utilisant l’intégration et la réduction de données, p. ex. analyse en composantes principales [PCA] ou analyse en composantes indépendantes [ ICA] ou cartes auto-organisatrices [SOM]Séparation aveugle de source méthodes de Bootstrap, p. ex. "bagging” ou “boosting”
G06V 10/32 - Normalisation des dimensions de la forme
G06V 10/776 - ValidationÉvaluation des performances
A method to train a diffusion regression model for satellite-based precipitation data bias correction may include obtaining satellite observation precipitation data for a training geographic region. The method may include obtaining corresponding ground observation precipitation data for the training geographic region, the corresponding ground observation precipitation data having a same resolution as the satellite observation precipitation data. The method may include generating training residuals from the satellite observation precipitation data and the corresponding ground observation precipitation data. The method may include adding noise to the training residuals. The method may include de-noising the noisy training residuals using a diffusion regression model to generate predicted residuals. The method may include updating the diffusion regression model using a loss function that depends on the training residuals and the predicted residuals.
A planning program according to the present invention causes a computer to execute a process for: accepting specification of a task; causing a large language model to iteratively perform, on the basis of the specified task and a set of functions which includes a first function that executes a process corresponding to a specific function and a second function that causes the large language model to select a function to be called from among candidates of permitted functions, planning in which subtasks are expanded to a hierarchy lower than the hierarchy of the specified task and the first function or the second function to be executed for the subtasks is selected; and outputting a tree-structure plan in which the subtasks are expanded for each hierarchy as a result of the iterative planning.
09 - Appareils et instruments scientifiques et électriques
33 - Boissons alcoolisées à l'exception des bières
35 - Publicité; Affaires commerciales
41 - Éducation, divertissements, activités sportives et culturelles
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Computer programs; Computers; Other electronic machines and apparatus, and parts thereof; Cash registers; Automated banking machines; Fire alarms; Gas alarms; Anti-theft warning apparatus; Electric buzzers; Laboratory apparatus and instruments; Photographic machines and apparatus; Cinematographic machines and apparatus; Optical machines and apparatus; Measuring or testing machines and instruments; Sensors; Power distribution or control machines and apparatus; Batteries, electric; Electrochemical apparatus for generating electricity, including fuel cells; Electric or magnetic meters and testers; Electric wires and cables; Telecommunication machines and apparatus; Radio machines and apparatus; Radio beacon machines and apparatus; Industrial X-ray machines and apparatus, not for medical use; Magnetic object detectors; Ultrasonic flaw detectors; Ultrasonic sensors; Wearable personal digital assistants; Wearable displays; Smartglasses; Smart rings; Personal digital assistants in the shape of a watch; Virtual reality headsets; Humanoid robots with artificial intelligence for use in scientific research; Humanoid robots with artificial intelligence for educational support; Game programs for home video game machines; Electronic circuits and CD-ROMs recorded with programs for hand-held games with liquid crystal displays; Electronic circuits and CD-ROMs recorded with automatic performance programs for electronic musical instruments; Magnetic cores; Electrodes, other than welding electrodes or medical electrodes; Resistance wires; Phonograph records; Music files that can be received and stored via the Internet; Pre-recorded video discs and video tapes, and other pre-recorded storage media; Image, video and movie files that can be received and stored via the Internet; Electronic publications, downloadable Nihonshu [Japanese sake] Retail services or wholesale services for liquor; Retail services or wholesale services for foods and beverages; Business consultancy; Business advisory services consisting of analysis of business data and business performance improvement data, and problem solving; Business research and consultancy, and provision of information relating thereto; Planning of new products and new services for enterprises; Provision of commercial information from online databases; Business research and data analysis; Compilation of statistical data; Provision of computerized business information from databases; Providing consulting services in the area of global sustainable business solutions; Business management; Business management analysis or business consultancy; Marketing research or analysis; Business consultancy services for digital transformation; Providing business information; Business partnership search; Preparation of business profitability studies; Advisory services for business management; Business intermediary and advisory services; Intermediary services for the buying and selling of goods; Providing information concerning commercial sales; Advertising and publicity services; Consultancy regarding public relations communication strategies; Planning of public relations campaigns and providing advisory services and information relating thereto; Organization of exhibitions for commercial or advertising purposes; Arranging and conducting of fairs and exhibitions for business and advertising purposes; Website traffic optimisation; Web indexing for commercial or advertising purposes; Marketing; Advisory services, consultancy and provision of information relating to marketing; Planning and execution of sales promotion for goods and services of others; Promoting the sale of goods and services of others through promotional events; Promoting the sale of goods and services of others by means of contests and incentive award programs; Presentation of companies and their goods and services on the Internet; Outsourcing services for Internet information search; Data entry into computer databases; Management and compilation of computerised databases; Systemization of information into computer databases; Rental of advertising space; Provision of advertising space on the Internet and other communication networks; Providing commercial information and advice for consumers in the choice of products and services; Employment agency services; Promoting the goods and services of others through the administration of sales and promotional incentive schemes involving trading stamps; Import-export agencies; Auctioneering; Arranging newspaper subscriptions; Shorthand services; Transcription; Document reproduction; Office functions, namely filing, in particular documents or magnetic tapes; Providing business assistance to others in the operation of data processing apparatus namely, computers, typewriters, telex machines and other similar office machines; Reception services for visitors in buildings [office functions]; Publicity material rental; Rental of photocopying machines; Providing employment information; Providing information about newspaper articles being news clipping services Arranging, conducting and organization of seminars; Arranging, conducting and organization of workshops; Providing information and advisory services relating to the arranging and conducting of workshops; Arranging, conducting and organization of seminars, conferences, congresses, educational forums, training sessions, symposiums and panel discussions; Providing information and advisory services relating to the arranging and conducting of seminars, conferences, congresses, educational forums, training sessions, symposiums and panel discussions; Educational and instruction services relating to arts, crafts, sports or general knowledge; Instruction and advisory services relating to interpersonal problem-solving skills development provided via the Internet; Arranging and conducting of networking events among individuals, companies or communities, and providing information relating thereto; Arranging, conducting and organization of competitions [education or entertainment]; Organization of social entertainment events; Arranging and conducting of parties, and providing information relating thereto; Arranging and conducting of exhibitions for cultural or educational purposes, and providing information relating thereto; Organization of educational, entertainment, sporting and cultural events; Entertainment services; Production of live entertainment; Providing electronic publications; Services of reference libraries for literature and documentary records; Book rental; Arranging and planning of movies, shows, plays or musical performances; Providing videos from the Internet, not downloadable; Providing images via the Internet, not downloadable; Movie theatre presentations or movie film production and distribution; Providing video, image, audio and text information via the Internet or other communication networks; Providing digital music from the Internet, not downloadable; Presentation of live show performances; Direction or presentation of plays; Presentation of musical performances; Organization, arranging and conducting of sports competitions; Organization of entertainment events excluding movies, shows, plays, musical performances, sports, horse races, bicycle races, boat races and auto races; Providing sports facilities; Providing amusement facilities; Providing facilities for movies, shows, plays, music or educational training Providing computer programs on data networks; Design of computers, electronic application apparatus and telecommunication apparatus, and advisory services relating to the design thereof; Designing of machines, apparatus, instruments [including their parts] or systems composed of such machines, apparatus and instruments; Providing information relating to the design of computers; Design services; Computer software design, computer programming, or maintenance of computer software; Provision of information relating to the design, creation or maintenance of computer programs; Information processing by computers; Data processing by computers; Design, creation or maintenance of computer systems; Advisory services relating to computer systems; Monitoring of computer systems by remote access; Configuration, installation, functional expansion, modification, addition and other optimization of computers, and providing information relating thereto; Design, creation, configuration, installation, functional expansion, modification, addition, maintenance and other optimization of computer programs, and providing information relating thereto; Advisory services relating to the design, creation or maintenance of computer programs; Design, planning or maintenance of communication network systems; Advisory services relating to the design, planning or maintenance of communication network systems; Diagnostics or consultancy relating to security measures for communication network systems; User authentication services in electronic commerce; Data encryption services; Electronic data conversion for embedding and removing digital watermarks by computers; Diagnostic testing of computer programs and computer virus scanning; Conversion of computer programs and conversion of computer data; Duplication of computer programs; Internet security consultancy; Computer security consultancy; Data security consultancy; Design, creation or maintenance of computer systems, and advisory services relating thereto; Consulting services in the field of cloud computing; Creating or maintaining web sites for others; Providing search engines for the Internet; Technological advice relating to computers, automobiles and industrial machines; Testing, inspection or research on pharmaceuticals, chemicals, cosmetics or food products, and advisory services and providing information relating thereto; Research relating to civil engineering, architecture or urban planning, and advisory services relating thereto; Advisory services relating to testing, data analysis or measurement in the fields of civil engineering, architecture and the like; Testing, inspection or research on agriculture, animal husbandry or fisheries, and advisory services, instruction and providing information relating thereto; Testing or research on computers and computer programs; Testing or research on telecommunication machines and apparatus and peripheral devices thereof; Testing or research on semiconductors; Testing or research on semiconductor manufacturing equipment and semiconductor measuring instruments; Testing or research on machines and instruments, and advisory services relating thereto; Research in the field of artificial intelligence technology; Design and testing for new product development; Product benchmarking services; Design and development of new products; Artificial intelligence consultancy; Consultancy in the field of information technology; Computer technology consultancy; Technical research projects and studies; Rental of computers; Rental of computer storage space; Rental of web servers; Server hosting; Cloud computing; Software as a service [SaaS]; Platform as a service [PaaS]; Artificial intelligence as a service [AIaaS]; Writing of manuals relating to computers and computer programs; Writing of manuals for the operation of computers and the use of computer programs
92.
TIME SERIES ANOMALY DETECTION USING TEMPORAL CORRELATION WEIGHTS
In an embodiment, a method is provided for time series anomaly detection using temporal correlation weights. The method involves receiving a dataset to prepare a data input for a neural network with first decoder, second decoder, and encoder. Temporal embeddings and sampling temporal correlation weights are generated from the data input. Further, anomalous time series data is reconstructed by applying the first decoder to the temporal embeddings. The method further involves generating a first discriminator output by applying the second decoder to the temporal embeddings and feeding the anomalous time series data to the encoder to produce anomalous temporal embeddings and correlation weights. A second discriminator output is generated by applying the second decoder to the anomalous temporal embeddings. The method computes divergence loss between the sampled and anomalous temporal correlation weights, as well as reconstruction losses based on the data input and discriminator outputs, to train the neural network.
In an embodiment, a method is provided for time series anomaly detection using temporal correlation weights. The method involves receiving a dataset to prepare a data input for a neural network with first decoder, second decoder, and encoder. Temporal embeddings and sampling temporal correlation weights are generated from the data input. Further, anomalous time series data is reconstructed by applying the first decoder to the temporal embeddings. The method further involves generating a first discriminator output by applying the second decoder to the temporal embeddings and feeding the anomalous time series data to the encoder to produce anomalous temporal embeddings and correlation weights. A second discriminator output is generated by applying the second decoder to the anomalous temporal embeddings. The method computes divergence loss between the sampled and anomalous temporal correlation weights, as well as reconstruction losses based on the data input and discriminator outputs, to train the neural network.
A processing unit determines a first solution to a surrogate problem represented by a second evaluation function obtained by adding a product of an auxiliary variable and a weight coefficient corresponding to a constraint to a first evaluation function of a mixed-integer programming problem including integer and continuous variables, using the branch and bound method with linear relaxation of the integer variable. The processing unit determines a second solution to the mixed-integer programming problem by local search using an initial solution where the integer variable in the first solution is set to an integer value while fixing the continuous variable value, determines a third solution to the mixed-integer programming problem while fixing the integer variable value included in the second solution, decreases the weight coefficient corresponding to the constraint satisfied by the third solution, and then repeats determining the first, second, and third solutions and decreasing the weight coefficient.
A non-transitory computer-readable recording medium stores therein a risk calculation program that causes a computer to execute a process including, storing a weight for every attack condition, calculated with reference to a usage rate of each of the attack conditions, and a presence rate of each of a plurality of specification elements contained in a specification of the AI system, regarding the conditions for establishing the attack, the presence rate being defined in specifications of a plurality of existing AI systems, identifying an establishment status of the attack condition, with reference to information regarding the specification element extracted from information regarding the specification of an AI system subject to the risk determination, and calculating a risk score for every attack tree of the AI system subject to the risk determination, with reference to the weight for every attack condition, and the identified establishment status of the attack condition.
G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité
96.
PERIODIC WORK RECOGNITION PROGRAM, METHOD, AND DEVICE
This periodic work recognition device associates each frame included in a video image, which is obtained by imaging a person who executes periodic work including a plurality of steps, with any of a prescribed number of anchor frames serving as a reference; assigns a character for identifying the associated anchor frame to each of the frames to thereby convert each of the frames into a first character string; summarizes, on the basis of the periodicity of changes of characters included in the first character string, a plurality of second character strings into which the first character string has been divided to generate third character strings; estimates a fourth character string indicating the workflow on the basis of a character string appearing in common in each of the third character strings; and recognizes, in the video image, a section from the start to the end of one cycle of the periodic work and breaks between the plurality of steps on the basis of association between the fourth character string and the first character string.
A non-transitory computer-readable recording medium stores therein an active space determination program that causes a computer to execute a process including acquiring occupation number data including time-series change of an electron occupation number in each of a plurality of molecular orbitals, computing a solution of a mathematical optimization model formulated with a constraint and an objective function, using the occupation number data, the constraint being that a sum of electron occupation numbers in the molecular orbitals is constant, the objective function giving a high evaluation to selection of a combination of molecular orbitals in which the time-series change of the electron occupation number has a negative correlation, when selecting a subset to be used in quantum chemical calculation from among the molecular orbitals, and outputting a result of the computation.
G06F 17/11 - Opérations mathématiques complexes pour la résolution d'équations
G06F 17/17 - Évaluation de fonctions par des procédés d'approximation, p. ex. par interpolation ou extrapolation, par lissage ou par le procédé des moindres carrés
98.
DATA PROCESSING APPARATUS AND DATA PROCESSING METHOD
A processing unit selects a first constraint and performs a search process repeating first and second processes. The first process determines, based on a first local field, whether to allow a change in a first state variable value. If allowed, the second process updates the first local field, based on a first weight coefficient for the first state variable, updates a second local field for the first constraint, based on a second weight coefficient for the first state variable and the first constraint, and updates the first local field, based on the second local field before and after updating. The processing unit updates a second local field for a second constraint unused, based on changes in state variable values caused by the search process and a second weight coefficient for the second constraint, and corrects the first local field, based on the second local field before and after updating.
A semiconductor device includes a substrate, a first barrier layer provided on the substrate, a second barrier layer provided on the first barrier layer, and a channel layer provided on the second barrier layer. The first barrier layer has a superlattice structure including a first nitride semiconductor layer including Al, and a second nitride semiconductor layer including Ga. The second barrier layer includes a third nitride semiconductor layer including Al and Ga. The channel layer includes a fourth nitride semiconductor layer including Ga. A surface of the second barrier layer facing the channel layer has a nitrogen polarity.
H10D 62/815 - Corps semi-conducteurs, ou régions de ceux-ci, de dispositifs ayant des barrières de potentiel caractérisés par les matériaux de structures présentant des effets de confinement quantique, p. ex. des puits quantiques uniquesCorps semi-conducteurs, ou régions de ceux-ci, de dispositifs ayant des barrières de potentiel caractérisés par les matériaux de structures présentant une variation de potentiel périodique ou quasi-périodique de structures présentant une variation périodique ou quasi-périodique de potentiel, p. ex. super-réseaux ou puits quantiques multiples [MQW]
H10D 30/47 - Transistors FET ayant des canaux à gaz de porteurs de charge de dimension nulle [0D], à une dimension [1D] ou à deux dimensions [2D] ayant des canaux à gaz de porteurs de charge à deux dimensions, p. ex. transistors FET à nanoruban ou transistors à haute mobilité électronique [HEMT]
H10D 62/824 - Hétérojonctions comprenant uniquement des hétérojonctions de matériaux du groupe III-V, p. ex. des hétérojonctions GaN/AlGaN
H10D 62/85 - Corps semi-conducteurs, ou régions de ceux-ci, de dispositifs ayant des barrières de potentiel caractérisés par les matériaux étant des matériaux du groupe III-V, p. ex. GaAs
100.
ARITHMETIC PROCESSING APPARATUS, PROCESSOR, AND COMPUTER-IMPLEMENTED ARITHMETIC METHOD
An arithmetic processing apparatus including a memory configured to store a first floating-point multiply-add operation instruction and a second floating-point multiply-add operation instruction, the first floating-point multiply-add operation instruction and the second floating-point multiply-add operation instruction being data-dependent, and a processor configured to execute the first floating-point multiply-add operation instruction and the second floating-point multiply-add operation instruction which are read from the memory, the processor being configured to bypass a value before rounding and a signal indicating whether or not an increment has occurred in the rounding, to be input to the processor, and execute the second floating-point multiply-add operation instruction using the input to the processor before an execution of the first floating-point multiply-add operation instruction is completed.
G06F 7/544 - Méthodes ou dispositions pour effectuer des calculs en utilisant exclusivement une représentation numérique codée, p. ex. en utilisant une représentation binaire, ternaire, décimale utilisant des dispositifs n'établissant pas de contact, p. ex. tube, dispositif à l'état solideMéthodes ou dispositions pour effectuer des calculs en utilisant exclusivement une représentation numérique codée, p. ex. en utilisant une représentation binaire, ternaire, décimale utilisant des dispositifs non spécifiés pour l'évaluation de fonctions par calcul
G06F 7/483 - Calculs avec des nombres représentés par une combinaison non linéaire de nombres codés, p. ex. nombres rationnels, système de numération logarithmique ou nombres à virgule flottante
