Abstract: Embodiments herein disclose methods and devices for managing data traffic on a receiver. A method disclosed herein includes detecting, by a receiver, at least one out of order radio link control (RLC) protocol data unit (PDU) in a plurality of RLC PDUs received from a transmitter, performing, by the receiver, a recovery action based on a Packet Data Convergence Protocol (PDCP) reordering time to recover the at least one out of order RLC PDU; and causing, by the receiver, an RLC layer to send a plurality of RLC service data units (SDUs) to a higher layer after the performing the recovery action, the plurality of RLC SDUs corresponding to the plurality of RLC PDUs.

Abstract: Described herein are fatty acid-bifunctional degrader compounds, their various targets, their preparation, pharmaceutical compositions comprising them, and their use in the treatment of conditions, diseases, and disorders mediated by various target proteins.

Abstract: A system for automated skill forecast and fulfillment in an enterprise environment is disclosed. Based on the received inputs from enterprise database comprising solution/customer information, service lines information, technical skills and job description, the system creates technical skill clusters and Bill of Materials. By mapping the technical skill clusters, Bill of Materials and role demand using Artificial Intelligence (AI) engine based on proficiencies, the system generates stock keeping units (SKUs) which is used as building blocks, supported by future-ready taxonomy for skill forecast and fulfilment, thereby achieving increased accuracy and efficiency in skill forecasting and effective fulfillment for an enterprise.

Abstract: Systems and methods are described for utilizing an image processing system with at least one processing device to perform operations including receiving a plurality of input images of a user, generating a three-dimensional mesh proxy based on a first set of features extracted from the plurality of input images and a second set of features extracted from the plurality of input images. The method may further include generating a neural texture based on a three-dimensional mesh proxy and the plurality of input images, generating a representation of the user including at least a neural texture, and sampling at least one portion of the neural texture from the three-dimensional mesh proxy. In response to providing the at least one sampled portion to a neural renderer, the method may include receiving, from the neural renderer, a synthesized image of the user that is previously not captured by the image processing system.

Abstract: An electronic device including a first active area of a first transistor, a first insulating region forming a first insulation of the first active area, a first insulating gate extending above the first active area and forming a second insulation of the first active area, and a first insulating gate contact coupled to the first insulating gate and positioned above both the first active area and the first insulating region, wherein the first insulating gate contact couples the first insulating gate to a power supply rail.

Abstract: Apparatus and methods related to applying lighting models to images are provided. An example method includes receiving, via a computing device, an image comprising a subject. The method further includes relighting, via a neural network, a foreground of the image to maintain a consistent lighting of the foreground with a target illumination. The relighting is based on a per-pixel light representation indicative of a surface geometry of the foreground. The light representation includes a specular component, and a diffuse component, of surface reflection. The method additionally includes predicting, via the neural network, an output image comprising the subject in the relit foreground. One or more neural networks can be trained to perform one or more of the aforementioned aspects.

Abstract: Systems and methods for training models to predict dense correspondences across images such as human images. A model may be trained using synthetic training data created from one or more 3D computer models of a subject. In addition, one or more geodesic distances derived from the surfaces of one or more of the 3D models may be used to generate one or more loss values, which may in turn be used in modifying the model's parameters during training.

Abstract: Techniques for a dynamic radar mode modulation feature are described herein. A computer system associated with a device may implement a first radar configuration for a radar sensor. The first radar configuration may correspond to a first mode and comprise a first frame per second rate and a first difference threshold. The computer system may receive first data from the radar sensor in the first radar configuration. The computer system may determine a presence of an object within a field of view of the radar sensor based on the first data and the first difference threshold. The computer system may instruct the device to turn on based on determining the presence of the user. The radar sensor may be instructed to implement a second radar configuration associated with a second mode.

Abstract: A system for color selection is provided, including a gesture receiver, a color generator, a color mixer, a user interface, and a touchscreen. The gesture receiver receives a first touch point from the user interface via a touchscreen, the first touch point having a first initial location and a first current location. The color generator then generates a first color, either randomly or based on the first initial location. The gesture receiver then receives a second touch point from the user interface via the touchscreen, the second touch point having a second initial location and a second current location. The color generator then generates a second color based on the first color and a color optimizer. The color mixer then generates a mixed color based on the first color, the second color, the first initial location, the first current location, the second initial location, and the second current location.

Abstract: The disclosure describes techniques for the isochronous transfer of data between a central device and one or more peripheral devices. For example, the central device may comprise any type of electronic device that is able to distribute data to peripheral devices using a wireless protocol. The isochronous transfer of data from the central device may provide an efficient method for wirelessly delivering data to multiple peripheral devices in an alternating pattern. In some examples, the isochronous transfer of data may help ensure that the peripheral devices receive timely and successful data transfers, improving the overall performance of the network of devices.

Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums which monitor for file system element transfers to and from both the endpoint and authorized accounts on network-based service providers (e.g., cloud-based storage). The system uses the capabilities of monitoring both the network-based service and the client computing device to filter out legitimate uploads to authorized network-based services and legitimate downloads to authorized computing devices. By matching events, it filters out events that are likely legitimate, the system may provide more accurate information, notifications, awareness, and unmatched event indications.

Abstract: Jitter application techniques are described for vector objects as implemented by a vector object jitter application system. In an implementation, the vector object jitter application system receives an input defining a stroke to be drawn on a user interface. A vector object is then generated representing the stroke and having a variable width determined by applying jitter to the stroke. The vector object having the variable width is displayed in the user interface as the input is received.

Abstract: A method for integrating a machine learning (ML) model that impacts different factor groups for generating a dynamic recommendation to collectively optimize an objective factor is provided.

Abstract: Techniques for dynamically determining a configuration file are described. In an example, a system receives, from a device, a request for first content to be presented by the device. The system determines metadata of the first content and a cue point indicating a start of a segment in which second content can be presented by the device. Based on the metadata and subsequent to the request, the system determines a configuration of the segment. The configuration includes: a duration of the segment, a sequence of slots in the segment, and/or a content duration usable in a slot of the segment. The system generates a configuration file that includes the metadata and the configuration, determines the second content based at least in part on the configuration file, and sends data about the first content and the second content to the device.

Abstract: An adaptive prefetcher for a shared system cache of a processing system including multiple requestors having a cache miss monitor and a prefetch controller. The cache miss monitor monitors requests for information from memory and identifies one of the requestors for which an identified cache line is requested. The prefetch controller submits an adaptive request for a subsequent cache line. The subsequent cache line may be determined based on a latency comparison between a loop latency (LL) of the prefetch controller and a stream latency (SL) of the identified requestor. A latency memory may be included that stores stream latencies for the requestors. The latency comparison may be used to determine how many cache lines to skip relative to the identified cache line, such as according to SL*SK<LL?SL*(SK+1) in which SK is the number of cache lines to skip.

Abstract: The present invention provides for a system and a method for improved representation of classical data on quantum systems. Input classical data is received and a feature set is created from the classical data. A functional transformation is performed on the created feature set to reduce high dimensional data associated with the feature set and a low dimensional feature space dataset is generated. A feature space transformation is performed on the low-dimensional feature space dataset to obtain a new feature space dataset with enhanced feature representation of the low-dimensional feature space dataset in a multi-dimensional space. The new feature space dataset results in optimal mapping of the input classical data into a quantum format. The new feature space dataset is sampled and batches of the sampled dataset are selected. The sampled dataset is mapped into an optimized quantum format for loading the sampled dataset into quantum states.

Abstract: A system-on-chip (SoC) may include a plurality of terminals and a plurality of terminal controllers. Each terminal controller is configured to selectively disable a terminal. An SoC be configured to execute at least one application. An SoC may include a memory configured to store a plurality of terminal masks. Each terminal mask identifies a subset of the plurality of terminals to be disabled. An SoC may include a fault collection and reaction system configured to transmit, to the plurality of terminal controllers, a fault indication signal in response to an error in a corresponding application. Each terminal controller is further configured to determine, based on a fault indication signal and a value in a terminal mask, whether the terminal corresponding to the terminal controller is to be disabled, and when the terminal corresponding to the terminal controller is to be disabled, disable the terminal.

Abstract: Aspects of the disclosure are directed to allocating bandwidth. As may be implemented in accordance with one or more embodiments, respective amounts of bandwidth are allocated to respective application groups for each memory access cycle in a set of memory access cycles. Initial bonus bandwidth is provided to a first one of the application groups during one of the memory access cycles. The bonus bandwidth may include at least a portion of bandwidth allocated to and unused by one of the other respective application groups during the memory access cycle. Additional bonus bandwidth is selectively provided to the first application group during one of the memory access cycles based on the initial bonus bandwidth and a maximum amount of bonus bandwidth defined for the set of memory access cycles, in response to bandwidth allocated to one of the other respective application groups during the subsequent memory access cycle being unused.

Abstract: Embodiments herein disclose methods and devices for managing data traffic on a receiver. A method disclosed herein includes detecting, by a receiver, at least one out of order radio link control (RLC) protocol data unit (PDU) in a plurality of RLC PDUs received from a transmitter, performing, by the receiver, a recovery action based on a Packet Data Convergence Protocol (PDCP) reordering time to recover the at least one out of order RLC PDU; and causing, by the receiver, an RLC layer to send a plurality of RLC service data units (SDUs) to a higher layer after the performing the recovery action, the plurality of RLC SDUs corresponding to the plurality of RLC PDUs.

Abstract: A trailer tow assist system including a camera that captures a rearward image of the trailer and its surroundings, a human machine interface that displays the rearward image, an input device that receives user input, and an electronic processor. The electronic processor receives the rearward image, identifies a target-space within the surroundings, determines a vehicle orientation relative to the target-space, determines a trailer angle relative to the vehicle, determines a trailer trajectory within the surroundings, and displays the trailer trajectory and rearward image on the human machine interface. The electronic processor also controls, in response to the user input, the vehicle to follow the trailer trajectory along a centerline of the trailer trajectory.