Abstract: A method for performing an inference includes: detecting a context among at least one context associated with at least one application; triggering a model execution command to a smart agent of an electronic device, based on the detected context; loading a machine learning (ML) model into a secure storage of the electronic device, based on the detected context and the triggered model execution command; generating, using the loaded ML model, an inference, based on data associated with the detected context; and sharing the generated inference with each application of the at least one application that is registered for the detected context.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for post-hoc deferral for classification tasks. In particular, a system can perform either post-hoc threshold correction or post-hoc rejector training to account for the cost of deferring model inputs to an expert system for classification.

Abstract: Apparatuses, systems, and techniques to adapt instructions in a SIMT architecture for execution on serial execution units. In at least one embodiment, a set of one or more threads is selected from a group of active threads associated with an instruction and the instruction is executed for the set of one or more threads on a serial execution unit.

Abstract: One embodiment of the present invention sets forth a technique for adding dimensions to a target drawing. The technique includes generating a first set of node embeddings for a first set of nodes included in a target graph that represents the target drawing. The technique also includes receiving a second set of node embeddings for a second set of nodes included in a source graph that represents a source drawing, where one or more nodes included in the second set of nodes are associated with one or more source dimensions included in the source drawing. The technique further includes generating a set of mappings between the first and second sets of nodes based similarities between the first set of node embeddings and the second set of node embeddings, and automatically placing the one or more source dimensions within the target drawing based on the set of mappings.

Abstract: Some example embodiments herein disclose an electronic apparatus and method for reducing or minimizing coarse lock time of Phase Locked Loop (PLL). The method includes controlling a voltage transient in the ABC current DAC of the PLL using the plurality of switchable voltage clamps, where the ABC current DAC includes a plurality of MOSFETs. Further, the method includes dividing the loop filter capacitor of the PLL into two segments to reduce the LPF settling time. Further, the method includes minimizing or reducing the coarse lock time of the PLL using the controlled voltage transients and the divided loop filter capacitor.

Abstract: Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria, rules, indicators, or scenarios so as to generate scores, reports, alerts, or conclusions that the analyst may quickly and efficiently use to evaluate the groups of data clusters.

Abstract: Computer vision systems and methods for automatic parcel alignment are provided. The system receives a geotagged aerial image, parcel information, and semantic information where each of the parcel and semantic information are overlaid on the geotagged aerial image. The system cleans the parcel information and the semantic information. The system optimizes the parcel information by grouping geo-registered parcels present in the geotagged aerial image into a plurality of islands and generating a plurality of parcel alignment solutions for each island of the plurality of islands. The system refines the plurality of parcel alignment solutions for each island and regularizes each island. The system generates a composite parcel alignment solution based on the refined plurality of parcel alignment solutions for each regularized island to align the geo-registered parcels of each regularized island with the geotagged aerial image.

Abstract: The system can include a set of joints, a controller, and a model engine; and can optionally include a support structure and an end effector. Joints can include: a motor, a transmission mechanism, an input sensor, and an output sensor. The system can enable articulation of the plurality of joints.

Abstract: A generic point of care based portable device and method thereof as a platform technology for detecting pathogenic infection via nucleic acid based testing achieving sample-to-result integration, comprising the following interconnected stand-alone modules: a thermal unit for executing piece-wise isothermal reactions in a pre-programmable concomitant fashion without necessitating in-between operative intervention; a colorimetric detection unit seamlessly interfaced with smartphone-app based analytics for detecting the target analyte.

Abstract: Disclosed herein is a method for managing network resources of a communication network. The method includes determining a number of expected users to be physically present at a planned event. The expected users are associated with a network operator. The method also includes adapting an amount of available network resources for the network operator in conjunction with the planned event based on the number of expected users. Also disclosed herein is a computer program product, an apparatus and a control node.

Abstract: Embodiments are disclosed for identifying and generating symmetrical repeat edits to similar objects in an image. A selection of a first object and an edit to the first object in an image is received. The image is searched for a plurality of candidate objects that have a similar shape to the first object and the plurality of candidate objects are filtered to include one or more objects that are symmetrical with the first object. A symmetric object is selected from the plurality of candidate objects. An axis of symmetry is computed between the symmetric object and the first object. The edit is applied to the symmetric object and to the first object.

Abstract: Provided is a method for performing a cell search operation that includes: determining whether a User Equipment (UE) is camped on a first Radio Access Technology (RAT) among a plurality of RATs and supports camping on a second RAT; acquiring first information corresponding to a first Public Land Mobile Network Identity (PLMN ID) associated with the first RAT and at least one first inter-RAT (IRAT) frequency, the at least one first IRAT frequency being associated with the first RAT; storing the first information corresponding to the first PLMN ID in a database of the UE; detecting an occurrence of one or more first events indicating that the UE is required to leave the first RAT and camp on another RAT to handle the event; performing the cell search operation corresponding to the first PLMN ID based on the stored first information to camp the UE on the second RAT.

Abstract: State of the art Acoustic Models (AM), which are trained using data from one environment, may fail to adapt to another environment, and as a result, application is restricted. The disclosure herein generally relates to speech signal processing, and, more particularly, to a method and system for Automatic Speech Recognition (ASR) using Multi-task Learned Embeddings (MTL). In this approach, MTL embeddings are extracted from an MTL neural network that has been trained using feature vectors from a plurality of speech files. The MTL embeddings are then used for generating an acoustic model, which maybe then used for the purpose of Automatic Speech Recognition, along with the feature vectors and the MTL embeddings.

Abstract: Embodiments are disclosed for blending complex objects. The method may include identifying a first complex object and a second complex object. A first primary object associated with the first complex object and a first sequence of geometric repeat operations are determined. A second primary object associated with the second complex object and second sequence of geometric repeat operations are also determined. A blending operation is applied to the first primary object and the second primary object to generate one or more intermediate primary objects. One or more intermediate complex objects are generated from the one or more intermediate primary objects.

Abstract: A method for ensuring precedence for the processing of a blockchain transaction to prevent loss of cryptographic currency includes receiving a new blockchain transaction by a blockchain node in a blockchain network, confirming the new blockchain transaction including identifying a precedence transaction that was previously conducted and stored in the blockchain that involves both blockchain wallets included in the new blockchain transaction, including the new blockchain transaction in a new block that is generated, and distributing the new block to additional nodes in the blockchain network for confirmation and addition to the blockchain.

Abstract: A generic point of care based portable device and method thereof as a platform technology for detecting pathogenic infection via nucleic acid based testing achieving sample-to-result integration, comprising the following interconnected stand-alone modules: a thermal unit for executing piece-wise isothermal reactions in a pre-programmable concomitant fashion without necessitating in-between operative intervention; a colorimetric detection unit seamlessly interfaced with smartphone-app based analytics for detecting the target analyte.

Abstract: Provided is a method for suggesting a caption for an image, comprising: receiving the image; determining a plurality of impacting categories associated with a plurality of contextual keywords for the image, each of the plurality of impacting categories representing a sentiment associated with the plurality of contextual keywords; grouping the plurality of contextual keywords into a plurality of groups based on the plurality of impacting categories; determining an order associated with the plurality of contextual keywords, based on a pre-determined impacting function; generating at least one caption by processing each contextual keyword, based on the order associated with the plurality of contextual keywords; determining a priority value associated with each of the at least one caption based on information associated with the corresponding caption, a user profile, and the image; and suggesting the caption from the at least one caption based on the priority value.

Abstract: Embodiments relate to the autonomous remediation of IT asset records in accordance with rules-based asset management policies. An IT asset record associated with an IT asset and having a first piece of IT asset information is received and evaluated for compliance in accordance with defined asset management rules. The asset management rules require the IT asset record to include both the first piece and a second piece of IT asset information. In view of the rules, a determination is made that the IT asset record requires remediation. Based on a determination that the IT asset record requires remediation, a decision-tree machine learning model is utilized to infer, based on IT asset information available in the IT asset record, at least the second piece of IT asset information to place the IT asset record in compliance with the asset management rules.

Abstract: According to some embodiments, a system, method and non-transitory computer readable medium are provided comprising a memory storing processor-executable steps; and a processor to execute the processor-executable steps to cause the system to: receive a first data value of a plurality of data values from a data store, wherein the first data value is from a digital twin model of an industrial asset; determine, via a vulnerability module, whether the received at least one data value is a near boundary case or not a near boundary case; in a case it is determined the first data value is a near boundary case, generate one or more adversarial samples for the first data value; input each of the one or more adversarial samples to the digital twin model; execute the digital twin model to output a system response for each input adversarial sample; determine whether the system response to each input adversarial sample has a negative impact; in a case it is determined the system response has a negative impact for a given

Abstract: There is provided a method for generating a select signal for a multiplexer of a Multiplying Delay Locked Loop (MDLL). The method includes determining that an output of a divider of the MDLL is a high level, determining that an output signal of a multiplexed voltage controlled oscillator (VCO) of the MDLL is a falling edge after the output of the divider is the high level and inserting a select signal as a select input to the multiplexer at the falling edge of the output signal of the multiplexed VCO in response to determining that the output of the divider has achieved the high level.