Abstract: Aspects of the subject disclosure may include, for example, obtaining a model, obtaining input audio, processing the input audio to generate a transcript, obtaining at least one summary based on the transcript, identifying at least one error or inconsistency in the transcript or the at least one summary based on the model, and implementing, based on the identifying, a correction or a clarification in respect of the at least one error or inconsistency. Other aspects are disclosed.

Abstract: The embodiments of present disclosure herein address unresolved problems of handwritten notes or digital diaries for logging defects during quality inspection. Also, these kinds of inspections in the industries are time bound. In certain sensitive inspection cases inspectors are required to use gloves while inspecting which leads to added overhead of working with gloves while noting down the defects. Sharing of these defect logs also becomes difficult as they first must be digitized to be shared across the different units in the industry. Embodiments herein provide a method and system which logs the defects identified by inspectors using inspector's voice. The system identifies defect type, location and sub-section from inspector speech and marks the defect in an orthogonal view, a two-dimensional (2D) view, a three-dimensional (3D) view of the artifact being inspected for verification. The system also allows for marking the defects as resolved during the repair or rework process.

Abstract: As part of a dialog session between a user and an automated assistant, implementations can process, using a streaming ASR model, a stream of audio data to generate ASR output, process, using an NLU model, the ASR output to generate NLU output, and generate, based on the NLU output, a stream of fulfillment data. Further, implementations can further determine, based on processing the stream of audio data, audio-based characteristics associated with spoken utterance(s) captured in the stream of audio data. Based on a current state of the stream of NLU output, the stream of fulfillment data, and the audio-based characteristics, implementations can determine whether a next interaction state to be implemented is: (i) causing fulfillment output to be implemented; (ii) causing natural conversation output to be audibly rendered; or (iii) refrain from causing any interaction to be implemented, can cause the next interaction state to be implemented.

Abstract: An electronic device includes a display, an external device interface that communicates with a remote control device, a network interface that communicates with a server, a user input interface that transmits a signal related to a user input, and a controller, and the controller displays a preset text related to registration of identification information while performing a process of registering the identification information related to speech for a user account logged in to the server, upon receiving a speech signal related to the preset text, transmits data including the speech signal to the server, completes the process of registering the identification information based on processing of the speech signal related to the preset text by the server, and interrupts the process of registering the identification information upon receiving a predetermined input related to speech recognition from the remote control device during the process of registering the identification information.

Abstract: Systems and methods includes receiving a single-track audio input stream having a mixture of audio signals generated from a plurality of sources, training an audio source separation model using, at least in part, the received single-track audio input stream, and separating audio sources, using the audio source separation model, from the audio input stream in accordance with one or more processing recipes to generate a plurality of source separated output stems. The audio separation model is trained to receive the single-track audio input stream and generate a plurality of audio stems corresponding to one or more audio sources of the plurality of sources.

Abstract: A magnetic tape drive is used for a magnetic tape cartridge including a magnetic tape and a storage medium. Geometrical characteristic information is stored in the storage medium. The geometrical characteristic information is recorded on the magnetic tape. A processor of a magnetic tape drive erases first geometrical characteristic information from the storage medium to leave second geometrical characteristic information in the storage medium. The second geometrical characteristic information is geometrical characteristic information capable of specifying a recording position in the magnetic tape at which the geometrical characteristic information is recorded. The first geometrical characteristic information is geometrical characteristic information other than the second geometrical characteristic information.

Abstract: Method, system and computer program product for providing an output digital video stream enhanced by real-time analysis. A primary digital video stream is continuously captured and analyzed locally to detect initial events or patterns, generating a first control parameter with a first delay. A more complex image or audio analysis is performed remotely, identifying additional events and generating a second control parameter with a longer delay. The second parameter is applied to a later point in the stream, allowing seamless, real-time modification without playback interruption. The modified video stream is delivered to clients as a final output. The first primary digital video stream is continuously captured by a camera local to the participating client and a computer device performing the analysis and application of the first production control parameter. The second analysis is performed by a computer device remote to the computer device applying the first production control parameter.

Abstract: A power gating circuit for a memory includes a plurality of header switches, the plurality of header switches comprising: a first transistor having a source tied to an external power supply line; and a second transistor coupled to a drain of the first transistor and having its own drain coupled to an internal voltage line of the memory, wherein the second transistor is structured to be used as a transistor or a diode based on control of a gate of the second transistor; and a selection device coupled to the gate of the second transistor to controllably couple the gate of the second transistor in a first state to the drain of the second transistor for diode operation and in a second state to a second voltage line for transistor operation.

Abstract: A read circuitry for memory includes a column read-out multiplexer (MUX) coupled to a set of columns of the memory, wherein the column read-out MUX receives a column select signal from a control circuit to output a corresponding column output from the set of columns; and a single sense amplifier coupled to receive the corresponding column output of the column read-out MUX.

Abstract: Control circuitry for memory includes a state machine including a number of state elements corresponding to a maximum number of available columns of a blast operation for memory; a set of registers including a corresponding register for each state element; and a column selection control circuit that combines outputs of the state machine and the set of registers to trigger an appropriate column during an appropriate clock cycle, available at a start of a corresponding clock cycle. The state machine receives a clock and various inputs associated with a start of memory operations and provides intermediate state element outputs and a final state element output as the outputs. Each register of the set of registers is available to store, from an address enable signal, a value indicating that a column in memory to which that register corresponds is to be accessed.

Abstract: Embodiments disclosed herein are directed to a non-volatile storage system comprising a non-volatile memory including non-volatile storage elements and control circuitry. The control circuitry is configured to: perform a first read operation to access device parameter information for a first memory operation associated with a first storage region type, the device parameter information associated with the first storage region type stored in a first block of a plurality of blocks; perform the first memory operation, using the device parameter information associated with the first storage region type; perform a second read operation to access device parameter information for a second memory operation associated with a second storage region type, the device parameter information associated with the second storage region type stored in a second block of the plurality of blocks; and perform the second memory operation, using the device parameter information associated with the second storage region type.

Abstract: A computer-implemented method for identifying off-target proteins comprises: receiving an indication of a first protein comprising residues of interest for targeting; receiving data indicative of a first whole protein sequence corresponding to the first protein; comparing the first whole protein sequence against a protein sequence database to identify whole protein sequences of other proteins having a threshold level of sequence resemblance to the first whole protein sequence; performing multiple sequence alignment on the other whole protein sequences with respect to the first whole protein sequence; identifying residues within each of the aligned whole protein sequences which positionally correspond with the residues of interest in the first whole protein sequence; determining a measure of similarity between the first protein and each other protein; and identifying one or more of the other proteins as off-target proteins with respect to the drug target based on the measures of similarity.

Abstract: Disclosed herein are systems, devices, and methods for identifying recombinant variants (such as gene conversion variants) of genes such as RHD gene and RHCE gene, the copy numbers of recombinant variants, and gene variant status (for example, heterozygous or homozygous). In some embodiments, the disclosed systems, devices, and methods include steps of receiving sequence reads which align to a RHD gene or a RHCE gene, estimating a combined copy number of a RHD gene and a RHCE gene, estimating copy numbers of a RHD-specific base and a RHCE-specific base at each of a plurality of pre-determined differentiating sites of the RHD gene and the RHCE gene, and calculating a probability of a RHCE*CE-D(2)-CE gene conversion in the nucleic acid sample.

Abstract: A federated distributed computational system enables secure collaboration across multiple institutions for multi-species biological data analysis. The system consists of interconnected computational nodes managed by a central federation manager. Each node contains specialized components that work together to process multi-species biological data while preserving privacy. These components include a local computational engine that handles data processing, a physics-information integration subsystem that combines physical state calculations with information-theoretic optimization, a privacy preservation module that protects sensitive information, a knowledge integration component that manages biological data relationships, and a communication interface that enables secure information exchange between nodes. The federation manager coordinates all computational activities and manages resource allocations across the network while ensuring data privacy is maintained throughout the process.

Abstract: A determination method determines whether or not target molecules including elemental hydrogen are electrolytic hydrogen-containing molecules which include: hydrogen molecules produced by water electrolysis; or molecules produced using the hydrogen molecules as a raw material. In the determination method, the method includes determining that the target molecules are the electrolytic hydrogen-containing molecules when an abundance ratio of deuterium to light hydrogen in the target molecules is less than or equal to a predetermined threshold which is smaller than an abundance ratio of deuterium to light hydrogen in nature.

Abstract: System and method for generating and displaying data pipelines according to certain embodiments. For example, a method includes: receiving a natural language (NL) query; receiving a model result generated based on the NL query, the model result including a query in a standard query language, the model result being generated using one or more computing models; and generating the data pipeline based at least in part on the query in the standard query language, the data pipeline comprising one or more data pipeline elements, at least one data pipeline element of the one or more pipeline elements being corresponding to a query component of the query in the standard query language.

Abstract: A method for hyperdimensional computing to obtain an answer to a query includes encoding each of an N number of data points related to the query with a first high dimensional vector P and a second high dimensional vector H to generate an encoded N number of data points having a P vector component and an H vector component, processing the encoded N number of data points via a first sub-routine to generate an intermediate result, wherein the first sub-routine is responsive to Vector Symbolic Architecture (VSA) operations, processing the intermediate result via a second sub-routine to generate a final result, wherein the second sub-routine is responsive to Vector Symbolic Architecture (VSA) operations and conducting a similarity search of the P vector component of the final result to generate an answer to the query.

Abstract: Disclosed methods and systems allow a central server to monitor electronic units of work accessible to a group of computers and generate a nodal data structure representing the units of work. The server then uses various protocols, such as hashing algorithms and/or executing artificial intelligence and machine learning models to identify similar and/or related units of work. The server then merges/links the nodes corresponding to the similar/related units of work. The server also monitors all user activities. When a user or a software system/service accesses electronic content on his, her, or its electronic device, the server identifies a node corresponding to the accessed electronic content and associated unit(s) of work and presents searchable data and actions related to the identified node and any related/linked nodes.

Abstract: The technology disclosed herein relates to data discovery in computing environments, that provide access to data. In one example, a computer-implemented method includes identifying a first sampling criterion used for classification of a data store with respect to a target data type during a previous scan of the data store. The data store stores a set of data objects. The method includes selecting a second sampling criterion, from a plurality of sampling criteria, based on the first sampling criterion, and deploying one or more scanners configured to select a subset of data objects, from the set of data objects stored in the data store, based on the second sampling criterion. The subset comprises some, but not all, of the set of data objects. The method includes generating a classification result based on a number of instances of the target data type in the subset of data objects.

Abstract: A declarative agent service deploys a hierarchical set of skills with a large language model (LLM) to generate a response to a user input. An agent of the declarative agent service receives a prompt from a user. The agent inputs the prompt into an LLM, which is trained using a taxonomy having a plurality of root classifications, and a set of child classifications under each root classification. The agent receives, from the LLM, a classification corresponding to one of the child classifications based on the prompt. The agent may deploy a hierarchical set of skills to iteratively identify one or more LLM calls based on the classification. Responsive to detecting an exception during deployment of the hierarchical set of skills, the agent overrides the deployment by performing an exception activity.