Abstract: A first image can be acquired from a first sensor included in a vehicle and input to a deep neural network to determine a first bounding box for a first object. A second image can be acquired from the first sensor. Input latitudinal and longitudinal motion data from second sensors included in the vehicle corresponding to the time between inputting the first image and inputting the second image. A second bounding box can be determined by translating the first bounding box based on the latitudinal and longitudinal motion data. The second image can be cropped based on the second bounding box. The cropped second image can be input to the deep neural network to detect a second object. The first image, the first bounding box, the second image, and the second bounding box can be output.

Abstract: An approach for managing workload deployment in a distributed network, including edge computing is provided. The approach includes deploying several modules, such as, EMM (energy management module), LDM (localized deployment manager) and EDM (edge deployment manager). These modules will be constantly monitoring and managing the energy consumption at the edge nodes under their purview and communicate with other modules to develop a holistic energy management system (e.g., energy policies, energy algorithms, energy plans, etc.) to ensure the most effective energy management of workload is implemented.

Abstract: Methods, apparatus, and processor-readable storage media for determining health-related information of returned inventory using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining current state-related information pertaining to at least one returned inventory item; determining health-related information of the at least one returned inventory item by processing, using one or more artificial intelligence techniques, at least a portion of the current state-related information and historical inventory-related data associated with one or more additional inventory items; and performing one or more automated actions in connection with the at least one returned inventory item based at least in part on at least a portion of the determined health-related information.

Abstract: Techniques are generally described for onboarding optimization for new hires. In various examples, labor order data specifying a target number of new hires may be received. In some examples, a first machine learning model may predict a number of new hire appointments to offer based at least in part on the labor order data. In further examples, an optimization component may allocate the number of new hire appointments to respective time slots based at least in part on candidate preferences. In some additional examples, data may be sent to a first application effective to display a list of available new hire appointment time slots of the respective time slots.

Abstract: An armrest assembly comprising a secondary armrest assembly is disclosed that can be deployed from a stowed and nested position beneath a primary armrest, with the secondary armrest assembly comprising a plurality of articulable and pivotable components, a seating assembly comprising the present armrest assembly, and vehicles configured to comprise the present armrest and seating assembly.

Abstract: Specific binding molecules, including T cell receptors (TCRs), which bind the HLA-A*02 restricted peptide SLYNTVATL (SEQ ID NO: 1) derived from the HIV Gag gene product, p17 are presented. TCRs of the present invention comprise non-natural mutations within the alpha and/or beta variable domains relative to a native TCR. The specific binding molecules of the invention have improved stability and/or yield and yet unexpectedly retain the advantageous properties of the specific binding molecules from which they are derived. Such specific binding molecules are particularly useful in the development of soluble immunotherapeutic reagents for the treatment of HIV infected individuals.

Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: A method for responding to a command sequence includes receiving a signal from a host carrying a plurality of commands in the command sequence, detecting a non-consecutive clock associated with a start of a current command in the command sequence, and generating a control signal in an active state to indicate detection of the non-consecutive clock.

Abstract: An apparatus includes a receiver circuit and a data buffer. The receiver circuit may comprise a decision feedback equalizer (DFE). The data buffer circuit may be configured to initialize a condition of the receiver circuit in response to a control signal prior to reception of a command sequence associated with a directed access to a memory system. The control signal generally indicates detection of a non-consecutive clock associated with a start of the command sequence. The data buffer circuit may generate one or more tap enable signals configured to determine a number of clock cycles during which a contribution of one or more taps of the decision feedback equalizer (DFE) are delayed.

Abstract: A method for responding to a command sequence includes receiving the command sequence associated with a targeted access to a memory system, detecting a non-consecutive clock associated with a start of the command sequence, and generating a control signal in an active state to indicate detection of the non-consecutive clock associated with the start of the command sequence.

Abstract: An example source device includes a transceiver, a memory, and processor(s) in communication with the memory and the transceiver. The memory stores an application framework and subtitle information associated with the application framework. The processor(s) are configured to execute the application framework stored to the memory, to receive the subtitle information from the application framework, to initiate, in response to the receipt of the subtitle information, via the transceiver, a negotiation of features between the wireless source device and a sink device, to obtain negotiated features based on the negotiation of features, to capture, in response to obtaining the negotiated features, subtitle text data in accordance with the set of negotiated features, and to transmit, via the transceiver, the captured subtitle text data to the sink device.

Abstract: Methods and systems for automatically generating a list of keywords for an end user from very large amounts of text data. In an embodiment, a computer-implemented method includes a processor receiving a request from an end user device to generate a key word list, reading text data of a corpus of at least one domain, performing pre-processing of the text data of the corpus, and removing stop words. The process also includes generating, by the processor, a term document matrix, removing rare words, and identifying unigrams, bigrams and trigrams. The processor then performs a stemming process on the unigrams, bigrams and trigrams to form stem words, replaces each stem word with its highest frequency unigram to generate normalized unigrams, generates normalized bigrams and normalized trigrams based on the normalized unigrams, and generates a list of keywords comprising the normalized unigrams, the normalized bigrams, and the normalized trigrams.

Abstract: An apparatus includes a receiver circuit and a data buffer. The receiver circuit may comprise a decision feedback equalizer (DFE). The data buffer circuit may be configured to initialize a condition of the receiver circuit in response to a control signal prior to reception of a command sequence associated with a directed access to a memory system. The control signal generally indicates detection of a non-consecutive clock associated with a start of the command sequence. The data buffer circuit may generate one or more tap enable signals configured to determine a number of clock cycles during which a contribution of one or more taps of the decision feedback equalizer (DFE) are delayed.

Abstract: An apparatus includes a detector circuit and a data buffer. The detector circuit may be configured to (i) identify a start of a command sequence associated with a directed access to a memory system and (ii) generate a control signal indicating a non-consecutive clock associated with the start of said command sequence. The data buffer circuit may be configured to initialize a condition of a receiver circuit in response to the control signal prior to reception of a first data bit associated with the command sequence.

Abstract: An apparatus includes a detector circuit and a data buffer. The detector circuit may be configured to (i) identify a start of a command sequence associated with a directed access to a memory system and (ii) generate a control signal indicating a non-consecutive clock associated with the start of the command sequence. The data buffer circuit may be configured to initialize a condition of a receiver circuit in response to the control signal prior to reception of a first data bit associated with the command sequence.

Abstract: Collecting and augmenting metadata associated with media content stored on a plurality of devices for display to a user. The collected metadata remains available (e.g., visible) to a user after the device storing the corresponding media content is offline, disconnected, or otherwise unavailable. In particular, the invention permits metadata associated with media content stored on one or more devices (e.g., consumer electronic devices) to be enumerated, obtained, and promoted into another device (e.g., a personal computer) such that the metadata may be treated as if the media content is stored on the other device (e.g., the personal computer). In particular, the invention automatically detects an event generated in response to an action by a first device storing a media file. In response to the detected event, the invention matches and obtains metadata for the media content stored in the media file. A user organizes or otherwise manipulates the obtained metadata, for example, via a media player.

Abstract: The present invention is a headboard anchor capable of attaching furniture to a wall while at the same time, providing a buffer between the wall and furniture which is meant to be attached. In the preferred embodiment, the anchor consists of two rubber suction cups flexibly and adjustably attached by a middle collapsible portion.

Abstract: The present invention relates to a process for preparation of sulfonyl urea compounds in high conversion rates and purity. More specifically, this invention relates to a process for manufacture of sulfonyl urea class of anti-diabetic pharmaceutical drugs in higher purity and yield. The process may effectively and economically be used to produce anti-diabetic drugs, such as glimepiride, glipizide, gliclazide, glibenclamide, glibornuride, and glisoxepide.