Abstract: Uniquely identifying an endpoint that connects to a network using multiple channel/bands may be provided. A client device may begin a first connection with an Access Point (AP). The client device is a multi-Wireless-Fidelity (Wi-Fi) capable device. The client device may generate a Multi-Wi-Fi Device Identifier (MWDI). The client device may send the MWDI to the AP during a four-way handshake for the first connection. The client device may begin a second connection with the AP after establishing the first connection. The client device may send the MWDI to the AP during a four-way handshake for the second connection. The AP may determine, based on the MWDI, that both the first connection and the second connection are originating from a same client device and apply a policy applied to the first connection also to the second connection.

Abstract: An apparatus may obtain an image that depicts a first human body part and determine, based on the image, a classification label and a plurality of vertices associated with the first human body part. The classification label may indicate a class of the first human body part and the plurality of vertices may correspond to points of the first human body part in a three-dimensional (3D) space. The determinations may be made using an artificial neural network that includes a self-attention module and a graph convolution module. The apparatus may generate a first 3D model representative of the first human body part based at least on the plurality of vertices associated with the first human body part. The self-attention module may determine global features of the image indicating an interrelationship of the plurality of vertices and the graph convolution module may refine the global features determined by the self-attention module.

Abstract: In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.

Abstract: Described herein are various embodiments of reducing dynamic power consumption within a processor device. One embodiment provides a technique for dynamic link width adjustment based on throughput demand for client of an interconnect fabric. One embodiment provides for a parallel processor comprising an interconnect fabric including a dynamically configurable bus widths and frequencies.

Abstract: Embodiments are provided for updating a playlist that has been added to a playback queue in response to changes to the playback queue. The playback queue may be associated with a zone of a network media system such that items in the playback queue are to be rendered by the zone. The playlist may include one or more items playable by the zone, and may be stored separately from where the playback queue is maintained. Embodiments are also provided for updating a playback queue in response to modifications to a playlist included in the playback queue.

Abstract: A method for optimizing a neural network is provided, including: (1) capturing, via a first sensor group having a first field of view, a first sample set having a first sensor domain corresponding to the first field of view; (2) capturing, via a second sensor group having a second field of view, a second sample set having a second sensor domain corresponding to the second field of view; (3) generating regions of interest of the second sample set; (4) translating the regions of interest to the first sensor domain; (5) identifying nodes of the neural network which correspond to the translated regions; and (6) optimizing the neural network by at least one of (a) increasing the weight value of the nodes corresponding to the one or more translated regions and (b) decreasing the weight value of the nodes not corresponding to the one or more translated regions.

Abstract: A virtual network interface is configured to receive packets of an application at a packet processing service. A first set of fast-path nodes of the service is assigned to execute packet rewriting rules on packets received via the virtual network interface. Based on analysis of metrics obtained from the set of fast-path nodes, a determination is made that a criterion for scaling up fast-path nodes has been met. A second set of fast-path nodes is assigned to execute packet rewriting rules on additional packets received via the interface, with the number of nodes included in the second set based on a statistic (indicated by the metrics) of the size of packets transmitted via the virtual network interface.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Accordingly the embodiments herein provides a method for handling a RAR in a wireless communication system (300).

Abstract: A tribo-electrostatic separation process for fractionating a feed mixture derived from dried distiller's grains (DDG) or distiller's dried grains and mixed with solubles (DDGS) is disclosed.

Abstract: Automatically selecting an encrypted network connection (such as a VPN tunnel) to use when communicating through another encrypted connection node with which there are multiple encrypted network connections with the computing system. The selection is based predicted latency of that encrypted network connection. The prediction is based on round-trip times of communications over the respective encrypted network connection. This is quite difficult since the encrypted network connection itself is not the entire path of the outgoing message and corresponding incoming message.

Abstract: Transistor structures may include a metal oxide contact buffer between a portion of a channel material and source or drain contact metallization. The contact buffer may improve control of transistor channel length by limiting reaction between contact metallization and the channel material. The channel material may be of a first composition and the contact buffer may be of a second composition.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for deep video understanding with large language models. An example embodiment operates by determining a relationship between respective first and second visual elements for each of a plurality of frames of a content item based on respective element types and respective locations for the respective first and second visual elements. For each of the plurality of frames, a respective visual prompt is generated describing the relationship between the respective first and second visual elements. Based on an audio-to-text conversion of audio content associated with the frame or classification of aural elements of the audio content, a respective audio prompt describing the audio content associated with each frame is generated.

Abstract: An example method comprises receiving, by a secure content system, an email from a sender to a recipient, scanning the contents of the email, evaluating the contents of the email based on a plurality of security rules, storing the sensitive data within a secure storage, generating a replacement email including a security link and not including at least the sensitive data, the security link providing a requester access to the sensitive data providing that a security function is satisfied, sending the replacement email including the security link to the recipient, receiving a request to access the sensitive data, the request being related to the security function challenging the requester using the security function, receiving, from the requester, a response to the security function, determining if the security function is satisfied by the response, and if the security function is satisfied, providing access to the sensitive data to the requester.

Abstract: A computer-implemented method protects a user from phishing attacks by managing commands initiated via a web browser. The method includes determining that a user has initiated a command that will send information to a target website, where the information belongs to a class that may include sensitive user data and the target website lacks a device-local phishing reputation. After this determination, the command is paused before the information is sent. While paused, a new reputation for the target website is obtained, and the command is blocked if the new reputation is deemed not safe, thereby preventing potential phishing threats.

Abstract: System-on-Chip (SoC) integrated circuits, methods of operating such circuits, and methods and systems for avoiding wakeup failures relating to such circuits are disclosed herein. In one example embodiment, the present disclosure relates to a SoC integrated circuit that includes core circuitry including one or more control components, and peripheral input/output (IO) circuitry including an input circuit portion, a plurality of IO pads, and a feedback generation cell, which is configured to send at least one feedback signal to be received by the one or more control components in response to a first one of one or more intermediate signals sent by the input circuit portion. The one or more control components is/are configured to send, after the one or more control components have received the at least one feedback signal, one or more input buffer enable signals to be received by the IO pads to avoid a wakeup failure.

Abstract: An example process includes receiving, from a user, an input corresponding to a request to render, without using a camera, and during a communication session with an external electronic device, an avatar associated with the user; and in accordance with receiving the input: in accordance with a determination that the electronic device is coupled to an external accessory device: during the communication session with the external electronic device, and while a camera corresponding to the communication session is disabled: receiving, from the external accessory device, a first data stream detected by a first type of sensor of the external accessory device; determining, based on the first data stream, a first set of data representing a first type of visual feature of the avatar; and rendering the avatar using the first set of data.

Abstract: A task-based search system is described. The computing system can receive, from a user device, a first user query associated with a task. The system can determine, using one or more machine-learned models, a first subtask having a first interaction score and a second subtask having a second user interaction score. Additionally, the system can perform a first query search for the first subtask to obtain a first content item associated with the first subtask. Moreover, the system can perform a second query search for the second subtask to obtain a second content item associated with the second subtask. Furthermore, the system can cause a presentation, on a display of the user device, of the first content item and the second content item. The first content item can be displayed above the second content item based on the first user interaction score being higher than the second user interaction score.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product aspects, and/or combinations and sub-combinations thereof, for generating short-form content. An example aspect operates by analyzing a media file in a library using a machine learning model. To analyze the media file, the embodiment determines, using the machine learning model, a first portion of the media file that has a feature that satisfies a classification that the machine learning model is configured to identify. The embodiment tags the first portion using one or more position tags indicative of a beginning of the first portion of the media file or an end of the first portion of the media file. The embodiment then generates a segment from the media file based on the one or more position tags. The segment comprises the portion of the media file and excludes one or more second portions of the media file.

Abstract: A biopsy forceps includes an end effector with opposing first and second jaws coupled together and configured to move from an open configuration to a closed configuration. Each of the first jaw and the second jaw includes a plurality of teeth having a base. The bases of two adjacent teeth of the first jaw are spaced apart to form a first gap, and the bases of two adjacent teeth on the second jaw are spaced apart to form a second gap. The end effector in the closed configuration may define one or more windows between edges of the first and the second jaws. And, at least one of these windows may include at least a portion of one or both of the first and second gaps.

Abstract: Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for personalizing a user interface (UI) of a media device and/or content presented thereby. An example embodiment operates by obtaining a first natural language user input, providing the first natural language user input to a personalization language model that is configured to interpret different natural language user inputs to respectively determine different update tasks invoked thereby, the different update tasks including a UI update task and a content update task, receiving from the model a first update task determined thereby based at least on the first natural language user input, generating one or more first application programming interface (API) calls based on the first update task, and placing the one or more first API calls to a service that implements the first update task based on the one or more first API calls.