Abrégé

A system outputs, on a first user computing system, a lesson material template on a session screen of a data sharing software, and on one or more task screens of the data sharing software, at least one task related to the lesson material template for a first user to perform on the first user computing system while the lesson material template is being presented on the session screen. The system modifies the lesson material template based on one or more first user modifications received via the one or more task screens. The system stores, in a first user session log, both the first user modifications to the lesson material template and first user activity related to performing the at least one task. The system receives and outputs, on the first user computing system, second user modifications to the lesson material template.

Classes IPC  ?

• G09B 5/02 - Matériel à but éducatif à commande électrique avec présentation visuelle du sujet à étudier, p. ex. en utilisant une bande filmée

Abrégé

A system receives a user query requesting a testable hypothesis about a scientific topic. The system classifies the user query into a first theoretical framework of a plurality of theoretical frameworks each comprising of terms and principles related to a particular scientific topic. The system generates the testable hypothesis by a first machine learning (ML) model that is configured to: receive as inputs: the user query, the first theoretical framework, and information from a graph document database comprising data associated with scientific documents, generate, as an output, the testable hypothesis that can be evaluated using the first theoretical framework and that does not reiterate a hypothesis or findings from the scientific documents in the graph document database. The system outputs the testable hypothesis via a user interface in response to the user query.

Classes IPC  ?

• G06F 16/332 - Formulation de requêtes
• G06F 16/338 - Présentation des résultats des requêtes
• G06F 16/353 - PartitionnementClassement dans des classes prédéfinies

Abrégé

A system receives a plurality of scientific documents for inclusion in an extended knowledge graph. For each respective scientific document of the plurality of scientific documents, the system classifies the respective scientific document with a theoretical framework of a plurality of theoretical frameworks each comprising terms and principles associated with a particular scientific topic, extracts metainformation of the respective scientific document, structures the metainformation in a document-specific ontology model that further comprises an indication of the theoretical framework, generates a plurality of text chunks from the respective scientific document of a given size, and generates, using a first ML model, one or more concepts from each of the plurality of text chunks. The system generates, using a second ML model, the extended knowledge graph using each of the plurality of text chunks, each concept, and the metainformation, and stores the extended knowledge graph in a graph document database.

Classes IPC  ?

• G06F 16/34 - NavigationVisualisation à cet effet
• G06F 16/35 - PartitionnementClassement
• G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus
• G06F 40/20 - Analyse du langage naturel

Abrégé

A system includes a performance optimization module of an autonomous vehicle configured to: (1) receive a first and second set of real-time parameter values of the autonomous vehicle; (2) identify instability of the autonomous vehicle in response to detecting one or more errors between a control command given by a controller unit to the autonomous vehicle and an execution of the control command by the autonomous vehicle based on the first set of real-time parameter values and the second set of real-time parameter values; (3) generate additional information associated with the autonomous vehicle and an environment in which the autonomous vehicle is driving based on the one or more errors; generate a corrective course of action for reducing a duration needed to drive a given route by the autonomous vehicle; and feed back the additional information and the corrective course of action to the controller unit for execution.

Classes IPC  ?

• B60W 30/02 - Commande de la stabilité dynamique du véhicule
• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes

Abrégé

A multi-layer path-planning system and method calculates trajectories for autonomous vehicles using a global planner, a fast local planner, and an optimizing local planner. The calculated trajectories are used to guide the autonomous vehicle along a bounded path between a starting point and a destination.

Classes IPC  ?

• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes

Abrégé

A multi-layer path-planning system and method calculates trajectories for autonomous vehicles using a global planner, a fast local planner, and an optimizing local planner. The calculated trajectories are used to guide the autonomous vehicle along a bounded path between a starting point and a destination.

Classes IPC  ?

• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
• G01C 21/34 - Recherche d'itinéraireGuidage en matière d'itinéraire

Abrégé

Systems and methods for conducting a synchronized student-lecturer session on an e-learning server in a computer network. The method includes obtaining a lesson material template from the lecturer computing system; logging a lecturer and one or more students in the e-learning application by verifying respective credentials to access the lesson material template, presenting the lesson material template on a session screen of the e-learning application corresponding to the lecturer and the one or more student users; generating a lecturer session; generating a student session log; tracking the lecturer session log, wherein the lecturer activity as recorded in the lecturer session log is monitored by one or more student users, and tracking the student session log, wherein the student activity as recorded in the student session log is monitored by the lecturer user.

Classes IPC  ?

• G09B 5/02 - Matériel à but éducatif à commande électrique avec présentation visuelle du sujet à étudier, p. ex. en utilisant une bande filmée

Abrégé

The present disclosure relates to a system to evaluate an avatar generated by an avatar generator. The system comprises an evaluation module including an audio evaluation module for evaluating audio features and a video evaluation module for evaluating video features. Evaluation of the avatar includes extracting audio and video features from the avatar and applying a set of evaluation metrics for generating audio and video evaluation scores. The scores are combined to generate a final score. For avatar generator evaluation, audio clip and video clip are provided to the audio evaluation module and video evaluation module, respectively. A set of evaluation metrics is applied for evaluation. Each metric can generate a score. All scores are combined to generate a final evaluation score.

Classes IPC  ?

• G06T 7/00 - Analyse d'image
• G10L 15/02 - Extraction de caractéristiques pour la reconnaissance de la paroleSélection d'unités de reconnaissance
• G10L 15/22 - Procédures utilisées pendant le processus de reconnaissance de la parole, p. ex. dialogue homme-machine
• G10L 25/57 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour le traitement des signaux vidéo
• G10L 25/60 - Techniques d'analyse de la parole ou de la voix qui ne se limitent pas à un seul des groupes spécialement adaptées pour un usage particulier pour comparaison ou différentiation pour mesurer la qualité des signaux de voix
• G10L 25/84 - Détection de la présence ou de l’absence de signaux de voix pour différencier la parole du bruit
• G10L 25/90 - Détermination de la hauteur tonale des signaux de parole

Abrégé

A system and method for regulating a motorsport racing event are disclosed. The system comprises sensor modules for sensing a plurality of race parameters to generate a plurality of input signals. A data analysis module receives the input signals for analysis. A decision-making module receives the analyzed signal and computes a recommendation or a decision corresponding to the level of violation. A penalty and recommendation module receives information associated with the recommendation or the decision and presents the recommendation or the decision.

Classes IPC  ?

• A63K 3/00 - Équipement ou accessoires pour les courses ou les sports équestres

Abrégé

A system and method for optimizing the performance of an autonomous race car in real-time during a race event are disclosed. An autonomous race car controller unit is pre-fed with a first set of initial parameter values and a second set of initial parameter values. A set of sensors is configured for measuring a first and a second set of real-time parameter values after the starting of the race event. A performance optimization module is configured to generate a corrective course by receiving the first and second sets of real-time parameters and detecting the presence of errors between a control command given by the controller unit and its execution.

Classes IPC  ?

• B60W 30/02 - Commande de la stabilité dynamique du véhicule
• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes

Abrégé

A multi-layer path-planning system and method calculates trajectories for autonomous vehicles using a global planner, a fast local planner, and an optimizing local planner. The calculated trajectories are used to guide the autonomous vehicle along a bounded path between a starting point and a destination.

Classes IPC  ?

• B60W 60/00 - Systèmes d’aide à la conduite spécialement adaptés aux véhicules routiers autonomes
• B60W 30/18 - Propulsion du véhicule
• B60W 40/064 - Calcul ou estimation des paramètres de fonctionnement pour les systèmes d'aide à la conduite de véhicules routiers qui ne sont pas liés à la commande d'un sous-ensemble particulier liés aux conditions ambiantes liés à l'état de la route degré d'adhérence
• H04W 4/44 - Services spécialement adaptés à des environnements, à des situations ou à des fins spécifiques pour les véhicules, p. ex. communication véhicule-piétons pour la communication entre véhicules et infrastructures, p. ex. véhicule à nuage ou véhicule à domicile

Abrégé

A method for the computer-assisted learning of orthography, the method includes executing by a data processing system the steps of retrieving a main set of words from a data storage; retrieving an error data set associated with said main set of words from the data storage and repeatedly executing the steps of selecting a word to prompt the user with, by computing, for each word from the error data set, a statistic measure related to the probability of an error occurring in the word, and selecting the word which has the maximum value of the statistic measure; prompting the user with the word; accepting a user input specifying a sequence of symbols; comparing the user input with the word and updating and storing the error data set.

Classes IPC  ?

• G09B 1/00 - Matériel à but éducatif à commande manuelle ou mécanique utilisant des éléments formant ou comportant des symboles, des signes, des images ou similaires, qui sont agencés ou adaptés pour être disposés selon un ou plusieurs schémas particuliers

Abrégé

updating (17, 18) and storing the error data set.

Classes IPC  ?

• G09B 1/00 - Matériel à but éducatif à commande manuelle ou mécanique utilisant des éléments formant ou comportant des symboles, des signes, des images ou similaires, qui sont agencés ou adaptés pour être disposés selon un ou plusieurs schémas particuliers

Abrégé

A method encodes a word or words. A sequential input string of symbols representing a word or a plurality of words is parsed into segments. A graph is constructed having spatial levels, each level including nodes. The segments of the input string are mapped to the nodes according to the levels and attributes are assigned to the nodes according to the segments, where an entropy of the word or plurality of words is a constant times an entropy of the graph and of the nodal attributes.

Classes IPC  ?

• G09B 5/00 - Matériel à but éducatif à commande électrique