Abstract: A method and a system for classifying one or more hyperlinks in a document are provided. The method includes identifying the one or more hyperlinks in the document based on an analysis of text strings of the document. The method further includes analyzing surrounding text strings around each of the one or more hyperlinks and classifying, based on the analysis of the surrounding text strings around each of the one or more hyperlinks, the one or more hyperlinks into at least one category among a plurality of predetermined categories.

Abstract: A control system for a machine includes one or more component controllers for one or more components of the machine. The control system also includes a supervisory controller, connected to the one or more component controllers, and having at least one supervisory processor configured to perform operations comprising receiving supervisory system inputs, including at least one of a machine component status input, a key switch input, a directional input, or an operator presence input, from an operator of the machine, requesting and receiving, from each of the one or more component controllers, a status of the one or more components, and, upon receiving an indication that a status of a component, of the one or more components, is faulted, disabling the faulted component, and disabling any other components, of the one or more components, that require the faulted component for operation.

Abstract: Methods and systems for operating a voltage regulator are described. A integrated circuit can be configured to adjust at least one of a deadtime parameter and a drive strength parameter of a power stage based on at least one of an input voltage being provided to a power stage, a switch node voltage of the power stage, and an output current of the power stage. A controller of the power stage can be further configured to adjust a deadtime of the power stage based on adjustment of the deadtime parameter. The controller can be further configured to adjust a drive strength of the first driver and the second driver based on adjustment of the drive strength parameter.

Abstract: A computing system includes a volatile memory, a cache coupled with the volatile memory, and a processing device coupled with the cache and at least one of a storage device or a network port. The processing device is to: generate a plurality of virtual addresses that are sequentially numbered for data that is to be at least one of processed or transferred in response to an input/output (I/O) request; allocate, for the data, a continuous range of physical addresses of the volatile memory; generate a set of hash-based values based on mappings between the plurality of virtual addresses and respective physical addresses of the continuous range of physical addresses; identify a unique cache line of the cache that corresponds to each respective hashed-based value of the set of hash-based values; and cause the data to be directly stored in the unique cache lines of the cache.

Abstract: Disclosed is a system and method for managing user interactions with a client device. The method comprises receiving from a telecommunication network, connected to the client device, a session request; processing the session request to determine relay information for routing the session request; transmitting the session request to a trained virtual agent based on the relay information, wherein the trained virtual agent is configured to process the session request to generate a command signal; and transmitting the command signal, via a private exchange mechanism, to the client device to establish the session for user interaction, wherein the data transmission between the client device and the trained virtual agent is based on a predefined protocol.

Abstract: Memory devices might include an array of memory cells and a controller configured to access the array of memory cells. The controller may sense a first threshold voltage of the selected memory cell. In response to the sensed first threshold voltage being between a first pre-program verify level and a first program verify level, the controller may bias the selected memory cell to a first voltage level. The first pre-program verify level might be less than a final pre-program verify level and the first program verify level might be less than a final program verify level.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: An information processing device (10) includes a model integration unit (13). The model integration unit (13) deforms and incorporates a jaw bone model (JBM) into a face model (FM) of a character on the basis of depth distribution information (22) of soft tissue covering the jaw bone.

Abstract: A computing system includes a volatile memory, a cache coupled with the volatile memory, and a processing device coupled with the cache and at least one of a storage device or a network port. The processing device is to: generate a plurality of virtual addresses that are sequentially numbered for data that is to be at least one of processed or transferred in response to an input/output (I/O) request; allocate, for the data, a continuous range of physical addresses of the volatile memory; generate a set of hash-based values based on mappings between the plurality of virtual addresses and respective physical addresses of the continuous range of physical addresses; identify a unique cache line of the cache that corresponds to each respective hashed-based value of the set of hash-based values; and cause the data to be directly stored in the unique cache lines of the cache.

Abstract: The embodiments described herein are directed at techniques to de-correlate Bluetooth interference seen across WLAN receive antennas/space in a Bluetooth transceiver/WLAN transceiver combination device. A Bluetooth interference whitening technique may be utilized, wherein a whitening matrix is computed based on a leakage signal resulting from a training signal transmitted by the Bluetooth transceiver. The leakage signal may leak in to the WLAN transceiver and a set of attributes is calculated for each frequency the leakage signal is received on. One or more whitening matrixes are calculated based on the set of attributes for each frequency the leakage signal is received on. In response to the WLAN transceiver receiving a signal of interest, an appropriate whitening matrix from the one or more whitening matrixes is selected and is then applied to the received signal of interest to de-correlate any interference generated as a result of the Bluetooth transmission.

Abstract: According to an aspect, a radar system comprising a transmitter operative to transmit a first set of chirps on a single transmit antenna and a second set of chirps on a plurality of transmit antennas, in that, the first set of chirps forming a first part of a chirp frame and the second set of chirps forming a second part of the chirp frame, a first receiver segment operative to generate a first set of parameters from a first set of received chirps that is reflection of the first set of chirps from one or more objects and a second segment operative to generate a second set of parameters from a second set of received chirps that is reflection of the second set of chirps from the one or more objects part of the received chirp frame and the first set of parameters, wherein, first set of parameters and second set of parameters comprise at least one of range doppler and angle of one or more objects.

Abstract: According to an aspect, a method of determining Doppler in a radar system comprising receiving a set of chirps, sampling in time the set of chirps to generate a set of non-uniform samples with one sample per chirp that is non-uniform in time in each chirp across the set of chirps, generating a first Doppler frequency from the set of non-uniform samples, generating a set of non-aliased Doppler frequencies for the first Doppler frequencies from a corresponding set of hypothesis, determining a first set of angles of arrival for every non-aliased Doppler frequency in the a set of non-aliased Doppler frequencies and selecting a first non-aliased Doppler frequency in the set of non-aliased Doppler frequencies that corresponds to the first angle of arrival with a minimum error in the a set of angles of arrival.

Abstract: Memory devices might include an array of memory cells and a controller configured to access the array of memory cells. The controller may sense a first threshold voltage of the selected memory cell. In response to the sensed first threshold voltage being between a first pre-program verify level and a first program verify level, the controller may bias the selected memory cell to a first voltage level. The first pre-program verify level might be less than a final pre-program verify level and the first program verify level might be less than a final program verify level.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: Recommender Systems (RS) tend to recommend more popular items instead of the relevant long-tail items. Mitigating such popularity bias is crucial to ensure that less popular but relevant items are recommended. System described herein analyses popularity bias in session-based RS obtained via deep learning (DL) models. DL models trained on historical user-item interactions in session logs (having long-tailed item-click distributions) tend to amplify popularity bias. To understand source of this bias amplification, potential sources of bias at data-generation stage (user-item interactions captured as session logs) and model training stage are considered by the system for recommendation wherein popularity of item has causal effect on user-item interactions via conformity bias, and item ranking from models via biased training process due to class imbalance.

Abstract: According to an aspect, a method of determining two dimensional (2D) angle of arrival (AoA) in a radar system comprising determining one dimensional (1D) AoA to generate a first set of (AoA), selecting a set of valid 1D AoA angles from the first set AoA, and determining the 2D AoA from the set of valid 1D AoA, Wherein the 1D AoA is determined on a first set of data received over a first uniform linear antenna array arranged in the first axis and the 2D AoA is determined on a second set data received over the first and the second MIMO antenna array arranged in the second axis and the set of valid 1D AoA in the first axis. Wherein the second antenna array need not be orthogonal to the first linear antenna array.

Abstract: Memory devices might include an array of memory cells and a controller configured to access the array of memory cells. The controller may sense a first threshold voltage of the selected memory cell. In response to the sensed first threshold voltage being between a first pre-program verify level and a first program verify level, the controller may bias the selected memory cell for SSPC programming. The first pre-program verify level might be less than a final pre-program verify level and the first program verify level might be less than a final program verify level. In response to the sensed first threshold voltage being less than the first pre-program verify level, the controller may bias the selected memory cell for non-SSPC programming. In response to the sensed first threshold voltage being greater than the first program verify level, the controller may inhibit programming of the selected memory cell.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: According to certain aspects, the present embodiments are directed to techniques for providing the ability to monitor one or more operational parameters of a voltage regulator. In embodiments, the voltage regulator is a multiphase voltage regulator having a plurality of power stages corresponding to each respective phase. In these and other embodiments, the operational parameters include one or both of a phase current and a phase temperature. According to certain additional aspects, the present embodiments provide the ability to monitor the respective phase current output and phase temperature of each phase independently. According to further aspects, this ability to monitor the operational parameters is achieved while minimizing circuit complexity.