Abstract: A method for classifying assets in a facility includes receiving item point metadata and time series data associated with an asset, applying a machine learning neural network to the item point metadata and time series data to determine a similarity between metadata associated with the asset and metadata associated with a known asset type, and determining that the asset is of the asset type based on the similarity satisfying a predetermined threshold. The neural network comprises anchor-based learning trained on a plurality of mined triplets including an anchor input, a positive input, and a negative input. The neural network is configured to generate vector representations associated with each of the anchor input, the positive input, and the negative input. A loss function applied to the vector representations is configured to differentiate between the vector representation associated with the positive input and the vector representation associated with the negative input.

Abstract: Systems, apparatuses, and methods related to a neuron using posits are described. An example apparatus may include a memory array including a plurality of memory cells configured to store data. The data can include a plurality of bit strings. The example apparatus may include a neuron component coupled to the memory array. The neuron component can include neuron circuitry configured to perform neuromorphic operations on at least one of the plurality of bit strings.

Abstract: A time-based wireless pairing operation between a medical device, such as a patient bed, and a wall module in a patient room is initiated in response to a power plug of the medical device being plugged into a power receptacle carried by the wall module. Times determined by timers of the medical device and the wall module are compared by the wall module or by the medical device so that wireless pairing occurs only with the medical device that was plugged into the wall module. Different types of plug detectors used in the wall module to detect connection of the power plug include optical detectors, mechanical switches, and current sensors.

Abstract: Methods and systems for remote check deposit are disclosed. A check for deposit is processed without the need for a server to receive any image of the check initially. Instead, optical character recognition (OCR) data is received at the server from a mobile device. Verification processing for the check is then performed using the OCR data. If the verification process is successful, a confirmation notification is sent to the mobile device. Subsequently, after sending the confirmation notification, a check image is received, from which the OCR data was determined. The check is, in turn, processed for deposit using the received check image.

Abstract: A system, method, and computer-readable medium for performing a data center management and monitoring operation. The data center management and monitoring operation includes: receiving a plurality of system under test (SUT) test plans, each SUT test plan comprising a plurality of SUT test cases; analyzing the plurality of SUT test cases, the analyzing comprising generating a phase component resolution score for each of the plurality of SUT test cases; generating a continuous schedule for the SUT test plan, the generating the continuous schedule taking into account the phase component resolution score for each of the plurality of SUT test cases; and, continuously orchestrating the SUT test plan based upon the continuous schedule for the SUT test plan.

Abstract: In some examples, a data aggregator and anonymizer is provided for selective encryption of test data.

Abstract: Systems and methods of the present disclosure enable reversible blockchain operations. An operation-reverse operation pair specifies an operation for exchange of a first token for a second token, and a reverse operation for return of the second token for the first token upon at least one condition being satisfied. A self-executing software container (SESC) executes the operation-reverse operation pair according to the condition by detecting a transfer of the first token into a first segregated data structure, and a transfer of the second token from a second token storage to a first token storage. The SESC initiates a transfer of the first token from the first segregated data structure to a second segregated data structure in response to the transfer of the second token. Upon detecting a reverse operation matching the condition, the SESC initiates a transfer of the first token back to the first segregated data structure.

Abstract: A command can be received (910) from a network entity. The command can initiate a random access procedure and can include information of a type of random access procedure. The type of random access procedure can be selected from a 2-step random access procedure and a 4-step random access procedure. A MsgA transmission can be transmitted (920) in response to receiving the command when the type of random access procedure is the 2-step random access procedure.

Abstract: The present invention provides a system and method for optimizing BOM cost of platform SoC for Battery management system. The system (100) comprises a sensor (101), coupled with the device to receive input physical parameters Temperature, Voltage and current and a CPU with SIMD extensions without saturation logic in the instruction set and floating-point unit, wherein Battery management module is implemented (101). Using CPU with SIMD extensions instead of DSPNLIW core in platform SoC helps in lowering the BoM cost and the inventive steps helps in achieving bit-exact results overcoming the limitations of CPU ISA as against DSP ISA. The power consumed in either case (Battery management implementation on CPU, DSP ISA) is the same, thus giving value additions to platform SoC designers and makers.

Abstract: Methods and materials for modulating low light and/or shade tolerance, and red light specific responses in plants are disclosed. For example, nucleic acids encoding low light and/or SD+EODFR-tolerance polypeptides are disclosed as well as methods for using such nucleic acids to transform plant cells. Also disclosed are plants having increased low light and/or SD+EODFR tolerance. In addition, methods and materials involved in increasing UV-B tolerance in plants and methods and materials involved in modulating biomass levels in plants are provided.

Abstract: Methods and systems are presented for providing a framework for facilitating token sharing with contract issuers based on processing of smart contract transactions. The framework provides a mechanism for allowing one or more computer nodes within a blockchain network to opt-in to a token sharing agreement with a contract issuer and a mechanism for an opted-in computer node to share tokens with the contract issuer in a decentralized manner. When a computer node has opted-in to the token sharing agreement, the computer node, by executing a smart contract, performs a set of computer procedures that is non-productive to the processing of the smart contract transaction. The execution of the set of non-productive computer procedures provides an additional amount of processing fee based on the processing of the smart contract transaction. The computer node then transfers a portion of the additional amount of processing fee to an account of the contract issuer as part of the processing of the smart contract.

Abstract: A method executed by processing circuitry, includes receiving, from a user interface (UI), one or more network assurance policies configured to be used in a CPE; receiving, periodically from a change request (CR) adaptor service, one or more active change requests (CRs) configured to be implemented; storing the one or more active CRs to an active scheduled CR table included in a network assurance policy database (DB); filtering, by an ingestion service of the CPE that screens incoming event streams based on the one or more network assurance policies, further the incoming event streams based on the active CRs within the active scheduled CR table; and discarding each incoming event from the incoming event streams that matches a dependent network element (NE) or a dependent network service (NS) that is within a CR time window where the CR time window is a period where a CR is being implemented.

Abstract: A system for answering queries using one or more families of large language models (h-LLMs) including a processor, a communication device, one or more h-LLMs implemented as microservices in cloud container environments and being accessible via a cloud service API, and software that is executable to operate an input broker having a broker API operable to receive a user prompt from a user interface, generate a plurality of derived prompts, transmit the plurality of derived prompts to one or more h-LLMs via the cloud service API, operate an output broker operable to receive a plurality of h-LLM results, process the plurality of LLM results at the output broker to generate a result, and transmit the result to the user interface via the broker API.

Abstract: The disclosure relates to a functionalized styrenic block copolymers (SSBC) in the form of a lithiated-sulfonated hydrogenated styrenic block copolymer (SO3Li-SBC). The composition is obtained by sulfonation of SBC precursor followed by neutralization of the ionic block of the sulfonated block copolymer (SSBC) by Li+ ion, modifying characteristics for use as a separator in energy storage device. The separator has high ionic conductivity, a high dimensional stability/low thermal contraction and good mechanical stability, more particularly a high elongation at break.

Abstract: One example method includes receiving, by a virtual assistant, a task from a remote client device; transmitting a first prompt to a large language model (“LLM”), the first prompt comprising the task and a request to process the task; receiving, from the LLM in response to the first prompt, a plurality of sub-tasks and an ordering of the plurality of sub-tasks; obtaining descriptions of a plurality of available services; for each sub-task: transmitting a second prompt to the LLM, the second prompt comprising a description of the respective sub-task and the descriptions of the available services; receiving, from the LLM in response to the respective second prompt, an identification of one or more available services; and initiating, for the respective sub-task, the one or more identified available services; and after completion of the plurality of sub-tasks, generating and providing a response to the task to the remote client device.

Abstract: Example methods and systems for automatic suggestion and generation of meeting schedules are provided. A communication platform accesses virtual interaction data associated with a virtual interaction. The communication platform detects a meeting intent based on the virtual interaction data. The communication platform also predicts multiple meeting attendees, determines one or more meeting times, and generates a meeting title based on the virtual interaction data and other related data. The communication platform provides a meeting schedule suggestion to a participant in the virtual interaction. The meeting schedule suggestion includes the meeting title, identifications of the multiple attendees, and the one or more meeting times.

Abstract: A site monitoring system may analyze information from sites to determine when a device, a sensor, a controller, or other structure associated with optically switchable devices has a problem. The system may, if appropriate, act on the problem. In certain embodiments, the system learns customer/user preferences and adapts its control logic to meet the customer's goals.

Abstract: An alert triggered by an event in a managed information technology (IT) environment is received. An IT component associated with the alert is identified using a component extraction tool. A first set of recommended actions for the alert is output. A user-selected action for resolving the alert is received. Feedback data regarding whether the user-selected action resolved the alert is collected. Using learning algorithms, action-to-component likelihoods are updated based on the collected feedback data. Future action recommendations are modified based on the updated action-to-component likelihoods. The future action recommendations are stored in an actions library for subsequent alert resolutions.

Abstract: Identity provider (IDP) mesh networks and related systems, apparatuses, and methods are disclosed. A first software domain to participate in an IDP mesh network manages first software applications of the first software domain. A first IDP of the first software domain provides access to the first software applications of the first software domain to first users registered with the first software domain responsive to first verified login credentials provided to the first IDP. The first IDP also federates, with a second IDP of a second software domain participating in the IDP mesh network, access of the first users to second software applications of the second software domain responsive to the first verified login credentials.