Introduced here is an artificial intelligence system designed for machine learning. The system may be based on a neuromorphic computational model that learns spatial patterns in inputs using data structures called Sparse Distributed Representations (SDRs) to represent the inputs. Moreover, the system can generate signatures for these SDRs, and these signatures may be used to create definitions of classes or subclasses for classification purposes.
Introduced here is an artificial intelligence system designed for machine learning. The system may be based on a neuromorphic computational model that learns spatial patterns in inputs using data structures called Sparse Distributed Representations (SDRs) to represent the inputs. Moreover, the system can generate signatures for these SDRs, and these signatures may be used to create definitions of classes or subclasses for classification purposes.
Introduced here are integrated circuits (also referred to as "chips") that can be implemented in a neural processing unit. At a high level, the goal of these chips is to provide higher performance for machine learning algorithms than conventional processing units would. To accomplish this, the neural processing unit can include multiple computing components, each of which is able to independently determine the overlap between encoded data provided as input and values stored in a memory.
Introduced here are integrated circuits (also referred to as “chips”) that can be implemented in a neural processing unit. At a high level, the goal of these chips is to provide higher performance for machine learning algorithms than conventional processing units would. To accomplish this, the neural processing unit can include multiple computing components, each of which is able to independently determine the overlap between encoded data provided as input and values stored in a memory.
A device includes a match element that includes a first data input configured to receive a first result, wherein the first result is of an analysis performed on at least a portion of a data stream by an element of a state machine. The match element also includes a second data input configured to receive a second result, wherein the second result is of an analysis performed on at least a portion of the data stream by another element of the state machine. The match element further includes an output configured to selectively provide the first result or the second result.
Configuration content of electronic devices used for data analysis may be altered due to bit failure or corruption, for example. Accordingly, in one embodiment, a device includes a plurality of blocks, each block of the plurality of blocks includes a plurality of rows, each row of the plurality of rows includes a plurality of configurable elements, each configurable element of the plurality of configurable elements includes a data analysis element including a memory component programmed with configuration data. The data analysis element is configured to analyze at least a portion of a data stream based on the configuration data and to output a result of the analysis. The device also includes an error detection engine (EDE) configured to perform integrity validation of the configuration data.
Configuration content of electronic devices used for data analysis may be altered due to bit failure or corruption, for example. Accordingly, in one embodiment, a device includes a plurality of blocks, each block of the plurality of blocks includes a plurality of rows, each row of the plurality of rows includes a plurality of configurable elements, each configurable element of the plurality of configurable elements includes a data analysis element including a memory component programmed with configuration data. The data analysis element is configured to analyze at least a portion of a data stream based on the configuration data and to output a result of the analysis. The device also includes an error detection engine (EDE) configured to perform integrity validation of the configuration data.
A device includes a match element that includes a first data input configured to receive a first result, wherein the first result is of an analysis performed on at least a portion of a data stream by an element of a state machine. The match element also includes a second data input configured to receive a second result, wherein the second result is of an analysis performed on at least a portion of the data stream by another element of the state machine. The match element further includes an output configured to selectively provide the first result or the second result.
Configuration content of electronic devices used for data analysis may be altered due to bit failure or corruption, for example. Accordingly, in one embodiment, a device includes a plurality of blocks, each block of the plurality of blocks includes a plurality of rows, each row of the plurality of rows includes a plurality of configurable elements, each configurable element of the plurality of configurable elements includes a data analysis element including a memory component programmed with configuration data. The data analysis element is configured to analyze at least a portion of a data stream based on the configuration data and to output a result of the analysis. The device also includes an error detection engine (EDE) configured to perform integrity validation of the configuration data.
Disclosed are methods and devices, among which is a device that includes a finite state machine lattice. The lattice may include a counter suitable for counting a number of times a programmable element in the lattice detects a condition. The counter may be configured to output in response to counting the condition was detected a certain number of times. For example, the counter may be configured to output in response to determining a condition was detected at least (or no more than) the certain number of times, determining the condition was detected exactly the certain number of times, or determining the condition was detected within a certain range of times. The counter may be coupled to other counters in the device for determining high-count operations and/or certain quantifiers.
G05B 19/045 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using logic state machines, consisting only of a memory or a programmable logic device containing the logic for the controlled machine and in which the state of its outputs is dependent on the state of its inputs or part of its own output states, e.g. binary decision controllers, finite state controllers
G06F 9/44 - Arrangements for executing specific programs
G06F 15/82 - Architectures of general purpose stored program computers data or demand driven
G06F 21/56 - Computer malware detection or handling, e.g. anti-virus arrangements
H03K 19/177 - Logic circuits, i.e. having at least two inputs acting on one outputInverting circuits using specified components using elementary logic circuits as components arranged in matrix form
A device includes a match element that includes a first data input configured to receive a first result, wherein the first result is of an analysis performed on at least a portion of a data stream by an element of a state machine. The match element also includes a second data input configured to receive a second result, wherein the second result is of an analysis performed on at least a portion of the data stream by another element of the state machine. The match element further includes an output configured to selectively provide the first result or the second result.
A device including a data analysis element including a plurality of memory cells. The memory cells analyze at least a portion of a data stream and output a result of the analysis. The device also includes a detection cell. The detection cell includes an AND gate. The AND gate receives result of the analysis as a first input. The detection cell also includes a D flip-flop including an output coupled to a second input of the AND gate.
Disclosed are methods and devices, among which is a device that includes a finite state machine lattice. The lattice may include a counter suitable for counting a number of times a programmable element in the lattice detects a condition. The counter may be configured to output in response to counting the condition was detected a certain number of times. For example, the counter may be configured to output in response to determining a condition was detected at least (or no more than) the certain number of times, determining the condition was detected exactly the certain number of times, or determining the condition was detected within a certain range of times. The counter may be coupled to other counters in the device for determining high-count operations and/or certain quantifiers.
H03K 19/177 - Logic circuits, i.e. having at least two inputs acting on one outputInverting circuits using specified components using elementary logic circuits as components arranged in matrix form
G05B 19/045 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using logic state machines, consisting only of a memory or a programmable logic device containing the logic for the controlled machine and in which the state of its outputs is dependent on the state of its inputs or part of its own output states, e.g. binary decision controllers, finite state controllers
15.
Methods and systems for detection in a state machine
A device including a data analysis element including a plurality of memory cells. The memory cells analyze at least a portion of a data stream and output a result of the analysis. The device also includes a detection cell. The detection cell includes an AND gate. The AND gate receives result of the analysis as a first input. The detection cell also includes a D flip-flop including an output coupled to a second input of the AND gate.
Disclosed are methods and devices, among which is a device that includes a finite state machine lattice. The lattice may include a counter suitable for counting a number of times a programmable element in the lattice detects a condition. The counter may be configured to output in response to counting the condition was detected a certain number of times. For example, the counter may be configured to output in response to determining a condition was detected at least (or no more than) the certain number of times, determining the condition was detected exactly the certain number of times, or determining the condition was detected within a certain range of times. The counter may be coupled to other counters in the device for determining high-count operations and/or certain quantifiers.
G06F 7/38 - Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
G06F 7/00 - Methods or arrangements for processing data by operating upon the order or content of the data handled
H01L 25/00 - Assemblies consisting of a plurality of individual semiconductor or other solid-state devices
G05B 19/045 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using logic state machines, consisting only of a memory or a programmable logic device containing the logic for the controlled machine and in which the state of its outputs is dependent on the state of its inputs or part of its own output states, e.g. binary decision controllers, finite state controllers
G06F 15/82 - Architectures of general purpose stored program computers data or demand driven
G06F 21/56 - Computer malware detection or handling, e.g. anti-virus arrangements
A device including a data analysis element including a plurality of memory cells. The memory cells analyze at least a portion of a data stream and output a result of the analysis. The device also includes a detection cell. The detection cell includes an AND gate. The AND gate receives result of the analysis as a first input. The detection cell also includes a D-flip flop including an output coupled to a second input of the AND gate.
G06F 9/45 - Compilation or interpretation of high level programme languages
G06F 7/38 - Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
18.
Methods and systems for data analysis in a state machine
A state machine engine may be configured to recognize (e.g., detect) a great number of patterns in a data stream. This may be accomplished via detection cells of state machine elements that output a respective result of an analysis performed by the respective state machine elements, for example, a match in an analyzed data stream from a single state machine element, which may be utilized in conjunction with results from other state machine elements, for example, to search for a pattern in a data stream. These matches may be provided to a match element, which may operate to output a selected result generated from a row of state machine elements for a given data stream search or a portion of a data stream search.
Disclosed are methods and devices, among which is a device that includes a finite state machine lattice. The lattice may include a counter suitable for counting a number of times a programmable element in the lattice detects a condition. The counter may be configured to output in response to counting the condition was detected a certain number of times. For example, the counter may be configured to output in response to determining a condition was detected at least (or no more than) the certain number of times, determining the condition was detected exactly the certain number of times, or determining the condition was detected within a certain range of times. The counter may be coupled to other counters in the device for determining high-count operations and/or certain quantifiers.
G06F 7/38 - Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
G06F 9/45 - Compilation or interpretation of high level programme languages
G06F 7/00 - Methods or arrangements for processing data by operating upon the order or content of the data handled
20.
Devices, systems, and methods for communicating pattern matching results of a parallel pattern search engine
Disclosed are methods and devices, among which is a system that includes a device that includes one or more pattern-recognition processors for searching a data stream. The pattern-recognition cluster may include various search pattern matching matrices and mask modules which may be utilized to perform various searching functions. Additionally, a buffer may be utilized to individually store the various results from pattern matching matrices and mask modules for subsequent retrieval.
