Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a generative neural network. One of the methods includes training a generative neural network by performing a sequence of a plurality training stages each generating an expanded training data set. The method also involves performing a sequence of improve steps, each comprising training the generative neural network on the training examples in a corresponding subset of the expanded training data set.

Abstract: A semiconductor device and a method for manufacturing thereof. A substrate is provided. One or more groups of layers are formed on top of the substrate. A compensation layer is formed on top of at least one group of layers. At least one silicon layer is formed on top of the compensation layer. At least a portion of one or more layers in the one or more groups of layers is etched. The semiconductor device is formed.

Abstract: Systems and methods for training a generative neural radiance field model can include geometric regularization. Geometric regularization can involve the utilization of reference geometry data and/or an output of a surface prediction model. The geometry regularization can train the generative neural radiance field model to mitigate artifact generation by limiting a distribution considered for color value prediction and density value prediction to a range associated with a realistic geometry range.

Abstract: This disclosure describes systems, methods, and devices for remotely controlling device settings for collaboration sessions. A device may identify an alphanumeric handle based on a location identifier of a first location associated with the device and a collaboration session identifier for a collaboration session of a collaboration application executed by the device; generate a Bluetooth Low Energy (BLE) advertising packet including a header and a payload, the header including the alphanumeric handle and a hardware identifier that identifies the device; transmit the BLE advertising packet; identify an authentication request received from a second device in the collaboration session, the authentication request including the alphanumeric handle; authenticate the second device based on the alphanumeric handle; and transmit a BLE notification packet including an indication of a volume at which the second device is to set a speaker for the collaboration session.

Abstract: In some implementations, an access point (AP) establishes a restricted target wake time (TWT) session including at least one restricted TWT service period (SP) for peer-to-peer (P2P) communications. The AP admits a group of wireless stations (STAs) associated with P2P communications as members of the restricted TWT session, obtains a transmission opportunity (TXOP) on the wireless channel during the at least one restricted TWT SP, and transmits, on the wireless channel, a protection frame identifying one or more STAs of the group of STAs belonging to the restricted TWT session that are permitted to transmit or receive P2P communications on the wireless channel during the TXOP. The protection frame may also indicate to receiving devices other than the one or more identified STAs that the wireless channel is unavailable for at least a portion of the TXOP.

Abstract: A system and method to schedule inspections for a plurality of assets at a corresponding plurality of outdoor locations are described. The method includes retrieving location attributes of each of the plurality of assets, retrieving terrestrial geotagged images that include one or more of the plurality of assets, obtaining parameters associated with each of the plurality of assets based on information from the images, and determining risk factors associated with each of the plurality of assets based on the associated parameters and a failure mapping. The method also includes determining a risk score for each of the plurality of assets based on the corresponding risk factors, and scheduling inspections of the plurality of assets based on the risk score associated with each of the plurality of assets.

Abstract: Communication enabled circuit breakers are described. Methods associated with secure communication between communication enabled circuit breakers and a panel system are described. Additionally, methods for commissioning and decommissioning such communication enabled circuit breakers in the panel system are described. The communication enabled circuit breakers may be paired with a controller and information regarding such breakers can be added to a database.

Abstract: This disclosure provides systems, methods, and apparatuses for associating a wireless communication device such as a wireless station (STA) of a STA multi-link device (MLD) with an access point (AP) MLD that includes a first AP associated with a first communication link of the AP MLD and includes one or more secondary APs associated with one or more respective secondary communication links of the first AP MLD. The first AP includes one or more virtual APs, and the first AP and the one or more virtual APs of the first AP belong to a first multiple basic service set identifier (BSSID) set associated with the first communication link.

Abstract: An aspect of the disclosure relates to an integrated circuit. The integrated circuit includes a first electrically conductive structure, a thin film crystal layer located on the first electrically conductive structure, and a second electrically conductive structure including metal e.g. copper. The second electrically conductive structure is located on the thin film crystal layer. The first electrically conductive structure is electrically connected to the second electrically conductive structure through the thin film crystal layer. The thin film crystal layer may be provided as a copper diffusion barrier.

Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache coupled to the processing resources. The cache controller is configured to control cache priority by determining whether default settings or an instruction will control cache operations for the cache.

Abstract: In one embodiment, a read request is received from a peripheral device across an interconnect, with the read request including a process identifier and an encrypted virtual address. One or more keys are obtained based on the process identifier of the read request, and the encrypted virtual address of the read request is decrypted based on the one or more keys to obtain an unencrypted virtual address. Encrypted data is retrieved from memory based on the unencrypted virtual address, and the encrypted data is decrypted based on the one or more keys to obtain plaintext data. The plaintext data is transmitted to the peripheral device across the interconnect.

Abstract: A mechanism is described for facilitating intelligent thread scheduling at autonomous machines. A method of embodiments, as described herein, includes detecting dependency information relating to a plurality of threads corresponding to a plurality of workloads associated with tasks relating to a processor including a graphics processor. The method may further include generating a tree of thread groups based on the dependency information, where each thread group includes multiple threads, and scheduling one or more of the thread groups associated a similar dependency to avoid dependency conflicts.

Abstract: Techniques and solutions are provided for database testing. In particular, aspects of the present disclosure facilitate “automatic exploration” of testing of database features, such as database commands. In particular, test definitions can be created for particular database features, where a test definition can have variants. Different test definitions can be combined into a composite test, which can include different variants for different tests. An executable test can be created that allows a database to execute a composite test. The present disclose also provides techniques and solutions for analyzing test results, particularly when voluminous test results are returned. In one example, test results for multiple iterations of a test can be compared. A change in test results, for example, can cause a test result to be flagged for further review. The composite tests, or result analysis techniques, can help provide better testing of database software to help identify software errors/bugs.

Abstract: Various aspects provide a transceiver and a communication device including the transceiver. In an example, the transceiver includes an amplifier circuit including an amplifier stage with an adjustable degeneration component, the amplifier stage configured to amplify a received input signal with an adjustable gain, an adjustable feedback component coupled to the amplifier stage; and a controller coupled to the amplifier stage and to the adjustable feedback component and configured to adjust the adjustable feedback component based on an adjustment of the adjustable degeneration component.

Abstract: Embodiments described herein include software, firmware, and hardware that provides techniques to enable deterministic scheduling across multiple general-purpose graphics processing units. One embodiment provides a multi-GPU architecture with uniform latency. One embodiment provides techniques to distribute memory output based on memory chip thermals. One embodiment provides techniques to enable thermally aware workload scheduling. One embodiment provides techniques to enable end to end contracts for workload scheduling on multiple GPUs.

Abstract: Described are techniques for disintegrating an entity into smaller entities. A graph (“first graph”) for the entity of records to be disintegrated is constructed, where each vertex of the first graph represents a record in the entity of records to be disintegrated. The edges in the first graph connecting records in the entity of records represent matching links between the records, where each edge is associated with a weight corresponding to a similarity score. Furthermore, two or more additional graphs representing two or more sub-entities of the entity of records to be disintegrated are constructed. Such graphs are constructed based on selecting edges with a maximum weight out of the edges connected between each pair of records in the first graph or based on the number of connections each record has with other records in the first graph exceeding a threshold value.

Abstract: In various examples, contrast values corresponding to pixels of one or more images generated using one or more sensors of a vehicle may be computed to detect and identify objects that trigger glare mitigating operations. Pixel luminance values are determined and used to compute a contrast value based on comparing the pixel luminance values to a reference luminance value that is based on a set of the pixels and the corresponding luminance values. A contrast threshold may be applied to the computed contrast values to identify glare in the image data to trigger glare mitigating operations so that the vehicle may modify the configuration of one or more illumination sources so as to reduce glare experienced by occupants and/or sensors of the vehicle.

Abstract: A system for forecasting energy consumption by vehicles in a mixed-vehicle fleet. The system includes neural network(s) that generate a predictive function for vehicles in each of a number of classes (e.g., electric vehicles, hybrid vehicles, internal combustion vehicles, vehicle models, model years, etc.). To capture both the generalizable patterns that govern energy consumption across all vehicle classes and the features and relationships that are specific to each class, the neural network(s) include a multi-task learning model that includes shared layers for all of the classes of vehicles and a set of vehicle-specific layers for each class. In some of those embodiments, for example to predict to energy consumption of an additional class with limited data, the neural networks further include an inductive transfer learning model that includes the shared layers transferred from the multi-task learning model and vehicle-specific layers for the additional class.