Abstract: Host services in an artificial intelligence (AI) infrastructure supporting a visual creation interface of multi-node AI based topologies in segments and partitions to service various overall AI objectives across multiple host, creator, user and third party devices and systems. Training of AI nodes, testing, automatic topology assessment and adjustment is provided. Secure interaction between topology partitions supports privacy concerns. Influencers and celebrities provide personal data to AI topologies to automatically generate topology node configurations, training data and datasets that can be swapped into any topology for those addressing host's digital rights management compensation and restrictions. Host services provide platforms for sharing created AI topologies, AI generations based on such AI topologies, and celebrity and influencer elements thereof.

Abstract: In one embodiment, a device identifies a plurality of tasks that a base machine learning model is able to perform. The device receives, via a user interface, a request to generate a specialized model to perform a particular task for deployment to a target deployment environment. The device uses knowledge distillation on the base machine learning model to train the specialized model to perform the particular task based on at least one of the plurality of tasks. The device causes the specialized model to be deployed to the target deployment environment.

Abstract: An traction battery pack assemblies includes enclosure assembly providing an interior area. At least one cell stack having a plurality of battery cell groups disposed along a cell stack axis is within the interior area. The at least one cell stack includes a plurality of dividers disposed along the cell stack axis. Each of the divider assemblies is disposed axially between a first and a second battery cell group within the plurality of battery cell groups. A seal is associated with each of the dividers within the plurality of the dividers. The seal seals an interface between the respective divider and the enclosure assembly. The seal can be a bulb seal.

Abstract: In one embodiment, a supervisory device in a federated learning system generates an aggregated model that aggregates a plurality of machine learning models trained by trainer nodes in a federated learning system during a training round. The supervisory device computes an accuracy loss metric for the aggregated model. The supervisory device also computes a fairness loss metric for the aggregated model based on fairness-related metrics associated with the plurality of machine learning models trained by the trainer nodes. The supervisory device initiates an additional training round during which the trainer nodes retrain their machine learning models for aggregation by the apparatus, in accordance with a constrained optimization problem that seeks to optimize a tradeoff between accuracy and fairness associated with the aggregated model.

Abstract: Embodiments perform automatic slot propagation in CAD models. One such embodiment identifies a first instance of a tab feature in a CAD model. The first instance of the tab feature is associated with a corresponding first instance of a slot feature. Next, a second instance of the tab feature in the CAD model is identified, e.g., a tab that does not have a slot. In turn, the slot feature is automatically propagated by creating a second instance of the slot feature in a component of the CAD model. The second instance of the slot feature corresponds to the identified second instance of the tab feature. In this way, embodiments automatically create slots for tabs without slots.

Abstract: Facilitating access to a PCIe configuration space of a PCIe function associated with a computer comprises receiving by a PCIe controller EP in the computer over a PCIe link a configuration request from a remote computer to access a PCIe configuration space. The PCIe controller then communicates over a communication fabric the configuration request to a dispatcher of the computer. The dispatcher determines from the configuration request, a PCIe function and operation indicated in the configuration request which is used to identify a respective subsystem to execute the configuration request and the configuration request is communicated to the respective subsystem based on the identification. The subsystem then executes the configuration request to facilitate access to the PCIe configuration space of the PCIe function by the remote computer and sharing of the PCIe function with the remote computer.

Abstract: Techniques and architecture are described for initializing, reviewing/approving, and deploying changes within a network. Each change is associated with a particular change ticket. When a change needs to be rolled back, the original change ticket may be analyzed to determine what actions need to be performed to roll back the change. A plan of the needed actions may then be presented to a reviewer in a rollback ticket. The original change ticket may be cancelled and a new ticket, e.g., the rollback ticket, may be prepared that includes the plan for the rollback, e.g., the one or more actions needed to roll back the initial change. In configurations, a change ticket may include multiple changes and thus, for rollback, either all the changes associated with the change ticket may be rolled back or only the last change or action that was initially made may be rolled back.

Abstract: In various examples, systems and methods are disclosed relating to shape processing using parallel computing systems. A processor can map one or more combinations of a plurality of first polygons identified from a first structure and a plurality of second polygons identified from a second structure, to a grid comprising a plurality of cells. The processor can identify one or more occupied cells of the plurality of cells, to which the one or more combinations are mapped. The processor can output a data structure indicative of the plurality of occupied cells.

Abstract: Host services in an artificial intelligence (AI) infrastructure supporting a visual creation interface of multi-node AI based topologies in segments and partitions to service various overall AI objectives across multiple host, creator, user and third party devices and systems. Training of AI nodes, testing, automatic topology assessment and adjustment is provided. Secure interaction between topology partitions supports privacy concerns. Influencers and celebrities provide personal data to AI topologies to automatically generate topology node configurations, training data and datasets that can be swapped into any topology for those addressing host's digital rights management compensation and restrictions. Host services provide platforms for sharing created AI topologies, AI generations based on such AI topologies, and celebrity and influencer elements thereof.

Abstract: Methods, systems, and products for power reduction by removal of redundancy in clock pathways of VLSI circuits includes: calculating, based on a circuit design data file, a timing budget for an LCB (local clock buffer) and an associated group of latches receiving a clock signal from the LCB, where the circuit design data file includes a structural representation of a circuit design and timing data, identifying, based on the timing budget, a delay element to remove, the delay element included within a delay element chain associated with the LCB, and removing the delay element from the circuit design.

Abstract: System and method for selecting location data to be used as the location of a user device using a location-based service. Horizontal location data and vertical location data for the user device are obtained from multiple sources. A horizontal location uncertainty and a vertical location uncertainty are determined or obtained for each source. In response to determining that both the horizontal location uncertainty meets a threshold horizontal uncertainty value and the vertical location uncertainty meets a threshold vertical uncertainty value, the corresponding source is identified as compliant. In response to identifying no compliant sources, a lowest horizontal location uncertainty and a lowest vertical location uncertainty are selected from among the plurality of sources.

Abstract: In described examples, a flash memory bank includes application and bootloader portions. The application portion stores first instructions for performing an interrupt service routine (ISR). The bootloader portion stores second instructions for: causing the flash memory bank to receive new first instructions for performing the ISR and write the new first instructions to replace old first instructions, and executing the new first instructions. The new first instructions execute the following steps in order. First, while maintaining an interrupt response, initializing variables specified by the new first instructions and not specified by the old first instructions, and not changing variables specified by the old first instructions. Second, after determining there is no interrupt response in process, disabling the interrupt response and proceeding to a third step. Third, initializing a stack, updating an interrupt vector, and updating a function pointer. Fourth, re-enabling the interrupt response.

Abstract: System and method for selecting location data to be used as the location of a user device using a location-based service. Horizontal location data and vertical location data for the user device are obtained from multiple sources. A horizontal location uncertainty and a vertical location uncertainty are determined or obtained for each source. In response to determining that both the horizontal location uncertainty meets a threshold horizontal uncertainty value and the vertical location uncertainty meets a threshold vertical uncertainty value, the corresponding source is identified as compliant. If there are no compliant sources, then alternative threshold horizontal uncertainty value or alternative threshold vertical uncertainty value are selected and used to determine if a source is compliant by meeting the alternative thresholds. In response to identifying at least one compliant source, an optimum compliant source is selected to provide as the location of the user device using the location-based service.

Abstract: The present disclosure provides mechanisms for reducing and suppressing random telegraph noise (RTN) for a crossbar circuit. A processing device may perform a programming process to program the conductance of a resistive random-access memory (RRAM) device in the crossbar circuit to a target conductance value. The processing device may then determine whether a random telegraph noise (RTN) value associated with the RRAM device is within a predetermined range of acceptable RTN values. If the RTN value associated with the RRAM device is not within a predetermined range of acceptable RTN values, one or more noise-reduction voltages may be applied to the RRAM device until the RTN value associated with the RRAM device is within the predetermined range of acceptable RTN values.

Abstract: A display panel, a manufacturing method of a display panel, and a display device. The display panel includes a substrate, an array circuit layer, a pixel defining layer, a first capacitor, and multiple sub-pixel units. The array circuit layer includes multiple drive transistors. Each of the multiple sub-pixel units (PX) includes a first electrode. The first capacitor includes a first pole plate and a second pole plate. The pixel defining layer covers the first pole plate, the second pole plate is located on a side of the pixel defining layer facing away from the substrate, an orthographic projection of the first pole plate on the substrate at least partially overlaps with an orthographic projection of the second pole plate on the substrate, and the first pole plate is connected to a gate of a drive transistor.

Abstract: System and method for selecting location data to be used as the location of a user device using a location-based service. Horizontal location data and vertical location data for the user device are obtained from multiple sources. A horizontal location uncertainty and a vertical location uncertainty are determined or obtained for each source. In response to determining that both the horizontal location uncertainty meets a threshold horizontal uncertainty value and the vertical location uncertainty meets a threshold vertical uncertainty value, the corresponding source is identified as compliant. In response to identifying at least one compliant source, an optimum compliant source is selected to provide as the location of the user device using the location-based service.

Abstract: In some examples, a method includes receiving, at a first device, a radar signal transmitted by a second device at a transmission frequency offset from a local oscillator (LO) frequency of the first device by a target offset and reflected off a target. The method also includes determining an intermediate frequency (IF) of the radar signal based on the transmission frequency and the LO frequency. The method also includes determining a parts per million (ppm) offset between the first device and the second device based on the intermediate frequency and the target offset.

Abstract: A system for applying metadata tags based on metadata tag groups is described. The system includes a plurality of compute nodes configured to provide a plurality of computing resources for clients of a provider network and a resource tag manager for the provider network. The resource tag manager is configured to receive, from a first client of an account of the provider network, a creation request to establish a resource attribute group comprising a plurality of resource keys and a plurality of resource values, wherein respective metadata keys correspond to respective resource values. The resource tag manager may receive, from a second client of the account, an application request to apply the resource attribute group to a computing resource and apply the plurality of resource keys and the plurality of resource values to metadata maintained for the computing resource.

Abstract: Host services in an artificial intelligence (AI) infrastructure supporting a visual creation interface of multi-node AI based topologies in segments and partitions to service various overall AI objectives across multiple host, creator, user and third party devices and systems. Training of AI nodes, testing, automatic topology assessment and adjustment is provided. Secure interaction between topology partitions supports privacy concerns. Influencers and celebrities provide personal data to AI topologies to automatically generate topology node configurations, training data and datasets that can be swapped into any topology for those addressing host's digital rights management compensation and restrictions. Host services provide platforms for sharing created AI topologies, AI generations based on such AI topologies, and celebrity and influencer elements thereof.

Abstract: Disclosed are apparatuses, systems, and techniques that improve efficiency and decrease latency of processing of authorization requests by cloud-based access servers that evaluate access rights to access various cloud-based services. The techniques include but are not limited to generating and processing advanced authorization requests that anticipate future authorization requests that may be generated by cloud-based services. The techniques further include processing of frequently accessed policies and policy data dependencies and preemptive generation and processing of authorization requests that are replicated from existing authorization requests.