Abstract: A method includes receiving data indicative of a range of processing conditions associated with a plurality of substrate processing operations. The data indicative of the range of processing conditions includes a first range of values of a first property and a second range of values of a second property of the processing conditions. The method further includes receiving data indicative of processing performance associated with the plurality of processed substrates. The data includes a first set of data associated with a first indication of substrate performance and a second set of data associated with a second indication of substrate performance. The method further includes performing analysis relating the processing conditions to the processing performance. The method further includes generating a visualization presenting results of the analysis including representations of the first indication of substrate performance and the second indication of substrate performance.

Abstract: A system for navigation store, in a time-based buffer, a first set of frames acquired by a sensor; stores, in a distance-based buffer, a second set of frames acquired by the sensor, performs moving object segmentation on the first set of frames and the second set of frames to identify at least one moving object in a scene of the frames; predicts a trajectory of the at least one moving object; and performs a navigation function based on the predicted trajectory.

Abstract: Systems/techniques that facilitate improved uncertainty estimation via object-specific and object-agnostic segmentation disagreement are provided. In various embodiments, a system can access an image depicting an object. In various aspects, the system can localize, via execution of an object-specific segmentation model on the image, a first inferred boundary of the object. In various instances, the system can generate an uncertainty score for the first inferred boundary, based on a second inferred boundary of the object generated via execution of an object-agnostic segmentation model on the image.

Abstract: A vehicle includes a controller, programmed to responsive to identifying a first user via a mobile device, load a first non-person entity associated with the first user from the mobile device to configure vehicle settings, the first non-person entity including a driver setting, a first entertainment setting and a second entertainment setting; and responsive to identifying a second user entering the vehicle, switch from the first entertainment setting to a second entertainment setting.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: determining, by a distributed processing architecture and based on first transaction data of first transactions for first items, first micro-intents; grouping, by the distributed processing architecture, the first micro-intents into clusters; receiving, by a distributed memory architecture, second transaction data of a user transaction from a user interface of an electronic device of a user during a current browsing session of a website; determining, by the distributed processing architecture, one or more second micro-intents; determining, by the distributed processing architecture, that the user is expressing a current micro-intent; and transmitting an instruction to display a user interface element on the user interface of the electronic device. Other embodiments are described.

Abstract: A method for streaming videos with internally-variable frame quality is implemented via a computing system including a processor. The method includes accessing a video including and evenly sampling the video frames. The method includes, for each sampled video frame, analyzing the video frame using a CNN model to determine whether the video frame includes high-relevance region(s). The method also includes, for each sampled video frame including high-relevance region(s), extracting coordinates of the high-relevance region(s) using the CNN model, and for each sampled video frame including high-relevance region(s) and each intervening video frame between the sampled video frame and a next sampled video frame, setting a minimum frame quality for the extracted coordinates.

Abstract: A positioning reference signal measurement method includes: receiving, at a user equipment from a network entity, an OFDM PRS (orthogonal frequency division multiplexing positioning reference signal) comprising a first set of first OFDM symbols that are consecutive and include a first center symbol and at least one pair of first side symbols disposed symmetrically about the first center symbol and having identical resource element sounding patterns; combining the first side symbols in each of the at least one pair of first side symbols to produce at least one first combined symbol; and determining a measurement of the OFDM PRS based on the at least one first combined symbol and the first center symbol.

Abstract: Quantum computing systems require methods to control energies of qubits and couplers for quantum operations. Flux biasing of qubits and quantum couplers is provided for a superconducting quantum computer using single-flux-quantum (SFQ) technology. This method is applicable to a wide range of superconducting qubit structures and couplers, including transmons, fluxoniums, flux qubits, phase qubits and other superconducting qubits. This method enables arbitrary-amplitude time-varying flux biasing of qubits and couplers, due to a sequence of high-speed SFQ pulses. Several preferred embodiments are disclosed which provide high-fidelity control of fast single-qubit and multi-qubit operations.

Abstract: Techniques are described for orchestrating a cohort deployment in a computing network comprising a plurality of computing nodes implementing a virtualized computing network managed by an orchestrator. The cohort deployment is managed by a deployment broker configured to coordinate the cohort deployment. The cohort deployment includes multiple deployments, where the cohort deployment comprises a parent deployment and a spawned deployment that includes a dependency on the parent deployment.

Abstract: Methods and systems for container management include scanning layers of a first container image of a set of container images to generate scan metadata for the layers. Relationship information is generated that identifies relationships between a first set of layers of the first container image and layers of additional container images of the plurality of container images. The additional container images are scanned, omitting any layers in the additional container images that match a layer of the first set of layers based on the relationship information.

Abstract: Systems and methods for quantum machine learning are described. A plurality of qubits can be entangled to create a cluster state. The plurality of qubits can include at least an input qubit, an output qubit, and at least one ancilla qubit. The input qubit can represent data among a training data set of a machine learning model represented by a unitary operation. Sequential local measurements of the cluster state can be performed to generate a plurality of measurement outcomes. At least one of the plurality of qubits can be rotated according to the plurality of measurement outcomes and rotation parameters of the unitary operation. The sequential local measurements and rotation of the plurality of qubits can transform an input state of the input qubit into an output state of the output qubit. The machine learning model can be trained based on the output state of the output qubit.

Abstract: Provisioning of day-1 configuration templates is automated. Users are provided access to a Configuration Template User Interface (UI) for creating configuration templates. Input is received on the Configuration Template UI to create the configuration templates. A trigger is received by a configuration manager to initiate configuration of network devices or functions. The trigger includes one or more Template Identifiers (IDs) corresponding to the one or more configuration templates. Configuration files are generated based on the trigger and one or more Template IDs corresponding to the one or more configuration templates. Configuration files are sent from the configuration manager to the one or more network devices or functions to configure the one or more network devices or functions.

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for a priority-aware transmit power control in compliance with a radio frequency (RF) exposure limit. An example method of wireless communication includes obtaining a transmit power budget for a time interval. The method further includes obtaining at least a first packet having a first priority and a second packet having a second priority lower than the first priority for transmission in the time interval. The method further includes determining a first transmit power for a first signal representing at least the first packet based at least in part on the transmit power budget, the first priority, and a time elapsed in the time interval. The method further includes transmitting the first signal representing at least the first packet at the determined first transmit power.

Abstract: Methods, systems, and apparatus for handling applications in an ambient computing system. One of the apparatus includes multiple devices arranged in multiple power blocks, wherein each device of the multiple devices belongs to one of the multiple power blocks; and multiple local power managers, each local power manager being programmable to execute respective sets of instruction sequences for a respective power block in order to effectuate power state transitions for one or more devices in the respective power block.

Abstract: An apparatus for multi-object tracking determines a current representation of a current object in a current image. The apparatus computes a joint Gaussian distribution between the current representation of the current object and a previous representation stored in one or more memory buffers, wherein the previous representation was determined from a previous image. The apparatus updates the one or more memory buffers based on the joint Gaussian distribution. For example, the apparatus determines whether to remove or replace the previous representation in the one or more memory buffers based on values of a covariance matrix of the joint Gaussian distribution.

Abstract: Systems and techniques for generating and animating non-player characters (NPCs) within virtual digital environments are provided. Multimodal input data is received that comprises a plurality of input modalities for interaction with an NPC having a set of body features and a set of facial features. The multimodal input data is processed through one or more neural networks to generate animation sequences for both the body features and facial features of the NPC. Generating such animation sequences includes disentangling the multimodal input data to generate substantially disentangled latent representations, combining these representations with the multimodal input data, and using a large-language model (LLM) to generate speech data for the NPC. Further processing using reverse diffusion generates face vertex displacement data and joint trajectory data based on the combined representation and generated speech data.

Abstract: Described herein are tiered synchronization systems and methods suitable for use in non-relational database systems distributed across multiple remote locations, which may provide access to some or all functionality of a cloud-tier server at a mid-tier server. For example, the mid-tier server may be locally accessible (e.g., over LAN) to clients independent of any remote connection to the cloud-tier server (e.g., over the Internet). In some embodiments, a mid-tier server may be configured to perform flexible sync functionality, such as flexible partitioning and/or permissions, whether independently and/or in cooperation with the cloud-tier server performing the same or similar functionality. In some embodiments, systems described herein may provide flexible and consistent local data access to non-relational data in locations where remote network connections are intermittent, such as due to weather conditions, relatively frequent network outages, and/or due to the location regularly changing (e.g.

Abstract: Described systems and techniques enable anonymous collection of sensor data related to vehicle driving events of a vehicle. A start event of the vehicle may be detected, and an anonymous name may be generated, based on the start event. A subset of the sensor data related to a start-specific event of the vehicle may be extracted. The subset of the sensor data may be stored in an event file for the start-specific event that is designated using the anonymous name, and the event file may be uploaded from the vehicle to an external network.

Abstract: An apparatus includes one or more control circuits that are configured to connect to a plurality of nonvolatile memory cells. The one or more control circuits are configured to detect a first boundary between written and unwritten portions of an open block and, in response to detecting the first boundary, check for a second boundary between written and unwritten portions of the open block in order to determine if the open block was subject to a non-uniform erase operation.

Abstract: In an aspect, a user equipment (UE) may execute a discontinuous reception (DRX) configuration having an on duration during which the UE is in a time-limited active reception state, wherein the DRX configuration is based on a transmission schedule for one or more positioning System Information Blocks (posSIBs). The UE may receive the one or more posSIBs during the on duration of the DRX configuration executed by the UE.