13 results about "Autonomic computing" patented technology

This application discloses a method, apparatus, vehicle, and storage medium for calculating sleep duration. The solution includes: acquiring and recording timestamps according to a preset cycle while the controller is running; calculating the time interval between the two most recent timestamps; and calculating the sleep duration of the controller based on the time interval and the preset cycle. This solution enables application-layer programs to autonomously calculate sleep duration without relying on external hardware, communication resources, or low-level permissions, solely through their own accessible system clock and timing mechanism, thus improving reliability. Furthermore, this solution requires no additional hardware, reducing costs; it only performs a simple difference calculation after the controller wakes up, minimizing resource overhead; and its core logic does not depend on specific hardware or low-level system interfaces, facilitating portability and deployment on different vehicle ECU platforms.

A system includes a heat exchanger coupled to a first fluid loop in thermal communication with an autonomy computing system of a vehicle. The heat exchanger facilitates heat transfer from fluid in the first fluid loop to an ambient environment. The system also includes a heat pump of a second fluid loop in selective thermal communication with the first fluid loop to remove heat from the fluid in the first fluid loop. The system includes a valve coupled to the first fluid loop to regulate at least one characteristic of the fluid in the first fluid loop to regulate cooling provided by the heat exchanger or the heat pump. The system includes a controller to operate the valve and control the heat removed from the fluid in the first fluid loop by at least one of the heat exchanger or the heat pump.

This invention relates to the fields of artificial intelligence and computational materials science, and discloses a method and system for autonomous material discovery based on a large language model. The method includes: the system receiving computational task instructions in natural language form; a cognitive layer calling a large language model agent to process the instructions and outputting structured instructions containing action instructions and parameter sets; a control bridging layer merging and pattern-validating the parameter sets based on preset system parameters, generating file entities and writing them to the processing path; an execution layer starting a background daemon process and triggering atomic movement instructions from the operating system; a computation module parsing the file entities, initializing a graph neural network model, and performing iterative computation; during the computation process, collecting and transmitting runtime status data including a loss function, and having the large language model agent dynamically generate the next round of computational task instructions based on the numerical values. This invention establishes a closed loop of instruction parsing, mutual exclusion scheduling, and physical computation, improving the stability of autonomous material computation.

This invention relates to a blockchain-based method and system. [Solution] The method according to the present invention includes the step of submitting a transaction to the blockchain, the transaction (Tx1) including an unused output (UTXO) which includes a Redeem script that requests the provision of notification addresses in the metadata of an unlock script in order to use the unused output (UTXO), the Redeem script further including a value indicating how many notification addresses must be provided by the unlock script.

A network device includes a processor and a non-transitory computer-readable storage medium storing logic executable by the processor to perform operations. The operations include receiving, from a second network device, an advertisement for a subnet and a first value of an inbound path preference attribute of a routing protocol; determining a link speed of a link between the network device and a third network device; determining a second value of the inbound path preference attribute based on the received first value and the determined link speed; advertising the subnet to the third network device in association with the second value of the inbound path preference attribute; and routing a data packet from the third network device to the second network device in accordance with a routing table comprising a routing entry based on the first value of the inbound path preference attribute.

A system for signaling intent of an autonomous vehicles. The system is comprised of a memory storing executable instructions representing a signaling display module on a trailer of an autonomous vehicle. The system also comprises a processor coupled to the memory and configured to execute the signaling display module. The processor is configured to receive data from an autonomy computing system descriptive of a condition near the autonomous vehicle, process the data to generate a message relating to the condition indicating a remedial action of the autonomous vehicle in response to the condition, and transmit the message to a signaling display on the trailer prior to executing the remedial action.

A system includes a heat exchanger coupled to a first fluid loop in thermal communication with an autonomy computing system of a vehicle. The heat exchanger facilitates heat transfer from fluid in the first fluid loop to an ambient environment. The system also includes a heat pump of a second fluid loop in selective thermal communication with the first fluid loop to remove heat from the fluid in the first fluid loop. The system includes a valve coupled to the first fluid loop to regulate at least one characteristic of the fluid in the first fluid loop to regulate cooling provided by the heat exchanger or the heat pump. The system includes a controller to operate the valve and control the heat removed from the fluid in the first fluid loop by at least one of the heat exchanger or the heat pump.

An autonomous vehicle selectively couplable to a trailer includes at least one sensor configured to capture data of an environment in which the autonomous vehicle operates and an autonomy computing system operably coupled to the at least one sensor. The autonomy computing system includes at least one memory device in communication with at least one processor programmed to receive the sensor data from the at least one sensor as the autonomous vehicle is in motion, determine velocity of objects in proximity to the autonomous vehicle based on the sensor data, identify one or more rotating objects among the objects in proximity to the autonomous vehicle as wheels of the trailer coupled to the autonomous vehicle based on the velocity, determine a wheelbase of the autonomous vehicle coupled to the trailer based on the wheels, and control operation of the autonomous vehicle coupled to the trailer based on the wheelbase.

A data split computing device for developing autonomous vehicles is provided. At least one processor of the data split computing device is programmed to receive a development dataset having scenes, at least one of the scenes having operating conditions. The at least one processor is further programmed to process, via a data split machine learning model, the development dataset. The data split machine learning model is configured to generate a mask array indicating whether a scene is to be allocated to a training dataset or a testing dataset. The at least one processor is also programmed to compute a cost function based on the mask array, and optimize the data split machine learning model to balance distribution of the operating conditions. The at least one processor is programmed to split the development dataset into the training and testing datasets and output the training and testing datasets.

An autonomy computing system of an autonomous vehicle includes a memory device and a processor, the processor including a minimal risk maneuver (MRM) module. The MRM module includes a plurality of executable MRM generators, each MRM generator associated with a respective MRM, and a task handler programmed to provide input data to and receive output data from the MRM generators. The processor is programmed to receive a notification of vehicle component failure, and, in response, input the input data to at least one MRM generator. The processor is also programmed to execute the at least one MRM generator with the input data to generate the output data, identify, based on the output data, an output MRM to be performed, based on a hierarchical relationship of the MRMs associated with the plurality of MRM generators, and transmit instructions to control components of the autonomous vehicle to implement the output MRM.

An autonomy computing system of an autonomous vehicle for generating a virtual fence. The autonomy computing system receives data of a plurality of temporary barriers on a road based upon analysis of sensor data from one or more sensors of the autonomous vehicle, determines a closure intent associated with the plurality of temporary barriers exists, constructs a virtual fence associated with the plurality of temporary barriers, the virtual fence delineating a section of the road in which an autonomous vehicle is restricted from driving; and operates the autonomous vehicle based on the virtual fence.

A network device includes a processor and a non-transitory computer-readable storage medium storing logic executable by the processor to perform operations. The operations include receiving, from a second network device, an advertisement for a subnet and a first value of an inbound path preference attribute of a routing protocol; determining a link speed of a link between the network device and a third network device; determining a second value of the inbound path preference attribute based on the received first value and the determined link speed; advertising the subnet to the third network device in association with the second value of the inbound path preference attribute; and routing a data packet from the third network device to the second network device in accordance with a routing table comprising a routing entry based on the first value of the inbound path preference attribute