Abstract: Provided are methods and systems for suggesting an enhanced multimodal interaction. The method for suggesting at least one modality of interaction, includes: identifying, by an electronic device, initiation of an interaction by a user with a first device using a first modality; detecting, by the electronic device, an intent of the user and a state of the user based on the identified initiated interaction; determining, by the electronic device, at least one of a second modality and at least one second device, to continue the initiated interaction, based on the detected intent of the user and the detected state of the user; and providing, by the electronic device, a suggestion to the user to continue the interaction with the first device using the determined second modality, by indicating the second modality on the first device or the at least one second device.

Abstract: A tracking system can provide intervention notifications to a user to notify the user that a tracking device is potentially lost or is in a predicted state. The tracking system may notify the user that a tracking device is potentially lost or in a predicted state based on a number of factors, including: a proximity of a tracking device to other tracking devices or a user's mobile device, a movement of a tracking device to more than a threshold distance away from a mobile device or other tracking devices, a location of a tracking device relative to a geographic location or to geographic boundaries, a usage or movement behavior of the tracking device, a usage or movement behavior of a user or owner of a tracking device, information received from an external source, or information received from sensors within the tracking device or a user's mobile.

Abstract: A computer-implemented method for tracking surgical textiles includes receiving a first image comprising a first textile-depicting image region, receiving a second image comprising a second textile-depicting image region, measuring a likelihood that the first and second image regions depict at least a portion of the same textile, and incrementing an index counter if the measure of likelihood does not meet a predetermined threshold. The measure of likelihood may be based on at least one classification feature at least partially based on aspects or other features of the first and second images.

Abstract: Existing approaches for switching between different hardware accelerators in a heterogeneous accelerator approach have the disadvantage that complete potential of the heterogeneous hardware accelerators do not get used as the switching relies on load on the accelerators or a random switching in which entire task gets reassigned to a different hardware accelerator. The disclosure herein generally relates to data model training, and, more particularly, to a method and system for data model training using heterogeneous hardware accelerators. In this approach, the system switches between hardware accelerators when a measured accuracy of the data model after any epoch is below a threshold of accuracy.

Abstract: A memory architecture for optimizing leakage currents in standby mode and a method thereof is disclosed. The memory architecture includes a plurality of memory segments configured to operate in one or more modes of operations. The plurality of memory segments includes a plurality of decoder slices. Each of the plurality of decoder slice includes a plurality of wordlines running in the row direction; at least one array power header configured for controlling leakage currents within each of the plurality of decoder slice in the row direction; and a retention header. Each of the plurality of power supply rails running in the column direction are segmented within one or more decoder slice to form one or more segmented power supply node.

Abstract: An extensible platform-as-a-service (PaaS) system is used during the software development lifecycle (SDLC) processes of an application. The system, according to various embodiments, receives indications that changes are made to one or more templates or software bundles stored in a software library and coordinates how changes to a particular template will be applied to applications for an enterprise system. Specifically, the system may identify applications that are using the template and determine an ordering for a plurality of application groups that indicates a sequence in which the updates will be applied to the applications. In this manner, template updates can be automatically and systematically deployed to applications without significant involvement by users of the PaaS system.

Abstract: A tracking system can provide intervention notifications to a user to notify the user that a tracking device is potentially lost or is in a predicted state. The tracking system may notify the user that a tracking device is potentially lost or in a predicted state based on a number of factors, including: a proximity of a tracking device to other tracking devices or a user's mobile device, a movement of a tracking device to more than a threshold distance away from a mobile device or other tracking devices, a location of a tracking device relative to a geographic location or to geographic boundaries, a usage or movement behavior of the tracking device, a usage or movement behavior of a user or owner of a tracking device, information received from an external source, or information received from sensors within the tracking device or a user's mobile.

Abstract: Embodiments include systems and techniques include a method including receiving, by a tracking server from a first computing device, a request to locate a tracking device associated with the tracking server. The method includes establishing a subset of computing devices as a search party for locating the tracing device. The method includes adding one or more second computing devices to the search party, each second computing device satisfying criteria for inclusion in the search party. The method includes, in response to determining that the search party satisfies a criterion for establishing the search party, providing the last known location of the tracking device to the second computing devices of the search party. The method includes, upon determining that one or more criteria for canceling the search party have been satisfied, terminating the search party and notifying the second computing devices of the search party.

Abstract: Disclosed is a method of capturing an image of diagnostic test results. The method may include acquiring an image of a diagnostic test positioning card using an image capture device, determining the presence of a plurality of fiducial images on the test positioning card, determining the presence of a diagnostic test result carrier placed on the test positioning card and verifying positioning of the test result carrier on the test positioning card. An image of the test result carrier may then be captured. The method may also include acquiring an image of a test result carrier using an image capture device, determining image features in the image of the test result carrier and verifying positioning of the test result carrier relative to the image capture device using the image features. An image including the test result carrier may then be captured.

Abstract: A method and system for managing reproducible machine learning workflows are disclosed. The method includes receiving input comprising abstract data sets, and transforming abstract data sets into abstract data types. The method includes generating abstract pipelines using abstract data types, and implementing abstract pipelines as packages. The method includes configuring packages as map of key-value pairs comprising keys, and storing configured packages in database. The method includes generating execution plan by converting abstract pipelines from the configured packages into concrete pipelines. Further, method includes transmitting execution plan to orchestrator to merge individual concrete pipelines into dataset dependency graph, and to mark tasks in dataset dependency graph. The method includes executing tasks as cluster, by calling appropriate command, and obtaining predictions from different models or same model with different hyperparameters to provide meta construct, upon executing tasks as cluster.

Abstract: A tracking device can be reconfigured after an amount of operation to preserve the battery capacity of the tracking device and to ensure that the tracking device can be operated for a pre-determined threshold period of time. The tracking device can provide diagnostic information representative of a state of the tracking device, such as a current power capacity of the tracking device's battery, to a mobile device within a threshold proximity of the tracking device. The mobile device can then provide the diagnostic information to a tracking server, which in turn can provide reconfiguration instructions to the mobile device. The mobile device can then pass on the reconfiguration instructions to the tracking device, in response to which the tracking device can reconfigure itself.

Abstract: Embodiments herein disclose methods for selecting a frequency band in (MHS) for a UE. These methods may include determining, by the UE, one or more parameters, wherein the one or more parameters may include at least one of: signal strength parameters, connectivity conditions of the UE in relation to the client device, and a data consumption capability of the UE, then mapping, by the UE, one or more parameters of the UE to at least one of a cell identity (ID), an Access point ID in case of Wi-Fi sharing (AP ID), and a geolocation of the UE, while connecting with the client device, and selecting, by the UE, the frequency band from a plurality of frequency bands based on at least one of the mapped cell ID or application ID and the geolocation of the UE.

Abstract: A device may be configured to function as an image-based analyzer for one or more test kits. The device guides a user in capturing an image of a test kit within an appropriate window of time. The device analyzes the image of the test kit, recognizes one or more features of the test kit depicted in the image, obtains one or more results indicated by the one or more recognized features, and provides one or more of the one or more results. The device may be configured to provide some or all of the results. The results may be displayed visually on a display screen of the device, presented audibly via speaker of the device, or both.

Abstract: Disclosed herein is a pseudo-random binary sequence (PRBS) generator (200) for performing on-chip testing. It comprises of a plurality of lanes (L1-L4), wherein each lane comprises a latch group (Lg1-Lg4) capable of receiving clock signals, wherein a number of latches in each latch group is based on an output sequence to be generated for performing the on-chip testing. Each latch group is having at least one of a flip-flop and a latch is further connected with a plurality of logic gates in such a manner that an output, generated by the at least one of the flip-flop and the latch of each latch group, is provided as an input to the plurality of logic gates.

Abstract: A tracking device can be reconfigured after an amount of operation to preserve the battery capacity of the tracking device and to ensure that the tracking device can be operated for a pre-determined threshold period of time. The tracking device can provide diagnostic information representative of a state of the tracking device, such as a current power capacity of the tracking device's battery, to a mobile device within a threshold proximity of the tracking device. The mobile device can then provide the diagnostic information to a tracking server, which in turn can provide reconfiguration instructions to the mobile device. The mobile device can then pass on the reconfiguration instructions to the tracking device, in response to which the tracking device can reconfigure itself.

Abstract: An extensible platform-as-a-service (PaaS) system for use during the software development lifecycle (SDLC) processes of a user application. The extensible PaaS system receives, from a user, values associated with a user application for features exposed in a presented application programming interface (API) to the user. The system displays a set of software modules for during the SDLC processes of the user application. The system receives a selection of software modules for custom configuration from the user. The system generates a set of custom configured software modules for the received selection of software modules. The system generates a set of automatically configured software modules for the remaining software modules. The system uses the custom configured software modules and the automatically configured software modules during the SDLC processes of the user application.

Abstract: Embodiments herein disclose a method for an enhanced interaction with a voice assistant using user accessories data by a first electronic device. The method includes detecting an utterance from a first user, where the utterance comprises a data item indicative of an identity of at least one second user. Further, the method includes determining at least one of position information and direction information of at least one wearable electronic device connected to the first electronic device of the first user. Further, the method includes determining the identity of the at least one second user indicated in the utterance of the first user based on at least one of the position and the direction of the at least one wearable electronic device connected to the first electronic device.

Abstract: Provided are methods and systems for suggesting an enhanced multimodal interaction. The method for suggesting at least one modality of interaction, includes: identifying, by an electronic device, initiation of an interaction by a user with a first device using a first modality; detecting, by the electronic device, an intent of the user and a state of the user based on the identified initiated interaction; determining, by the electronic device, at least one of a second modality and at least one second device, to continue the initiated interaction, based on the detected intent of the user and the detected state of the user; and providing, by the electronic device, a suggestion to the user to continue the interaction with the first device using the determined second modality, by indicating the second modality on the first device or the at least one second device.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: A device comprises a digital ramp generator, an oscillator, a power amplifier, a low-noise amplifier (LNA), a mixer, and an intermediate frequency amplifier (IFA). The oscillator generates a chirp signal based on an output from the digital ramp generator. The power amplifier receives the chirp signal and outputs an amplified chirp signal to a transmitter antenna. The LNA receives a reflected chirp signal from a receiver antenna. The mixer receives output of the LNA and combines it with the chirp signal from the oscillator. The IFA receives the mixer output signal and includes a configurable high-pass filter, which has a first cutoff frequency during a first portion of the chirp signal and a second cutoff frequency during a second portion of the chirp signal. In some implementations, the first cutoff frequency is chosen based on a frequency of a blocker signal introduced by couplings between the transmitter and receiver antennas.