Abstract: In various examples, systems and methods are disclosed relating to generating a simulated environment and update a machine learning model to move each of a plurality of human characters having a plurality of body shapes, to follow a corresponding trajectory within the simulated environment as conditioned on a respective body shape. The simulated human characters can have diverse characteristics (such as gender, body proportions, body shape, and so on) as observed in real-life crowds. A machine learning model can determine an action for a human character in a simulated environment, based at least on a humanoid state, a body shape, and task-related features. The task-related features can include an environmental feature and a trajectory.

Abstract: An integrated circuit for a receiving link device includes a processing device to detect, using an equalizer of the receiving link device, that a receiver (RX) pre-cursor value is outside of a threshold value based on a target RX tap value. The processing device further generates, based on the detecting, a plurality of tap messages having a plurality of up or down commands to one of decrease or increase a corresponding transmitter (TX) pre-cursor value of a transmitting link device. The processing device further causes the plurality of tap messages to be provided to a local transmitter to be transmitted to the transmitting link device. The plurality of tap messages is to cause the transmitting link device to adjust the corresponding TX pre-cursor value.

Abstract: Systems and methods herein address power for one or more processing units, using one of a plurality of power profiles during execution of a group of real-time instructions, the one of the plurality of power profiles determined based in part on a relationship determined between the one of the plurality of power profiles and a power profile of the group of real-time instructions, the relationship limited by a threshold, and the plurality of power profiles are associated with a plurality of groups of reference instructions.

Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate secure ladder computational operations whose iterative execution depends on secret values associated with input data. Disclosed embodiments use masking factors that re-blind secret data without exposing the unmasked secret data between iterations of the ladder computations. Some disclosed embodiments use Montgomery multiplication techniques to facilitate secret data masking by efficiently avoiding modular division operations. Disclosed embodiments significantly reduce the vulnerability of ladder computations to adversarial side-channel attacks.

Abstract: Embodiments of the present disclosure relate to behavior planning for autonomous vehicles. The technology described herein selects a preferred trajectory for an autonomous vehicle based on an evaluation of multiple hypothetical trajectories by different components within a planning system. The various components provide an optimization score for each trajectory according to the priorities of the component and scores from multiple components may form a final optimization score. This scoring system allows the competing priorities (e.g., comfort, minimal travel time, fuel economy) of different components to be considered together. In examples, the trajectory with the best combined score may be selected for implementation. As such, an iterative approach that evaluates various factors may be used to identify an optimal or preferred trajectory for an autonomous vehicle when navigating an environment.

Abstract: In various examples, a deep three-dimensional (3D) conditional generative model is implemented that can synthesize high resolution 3D shapes using simple guides—such as coarse voxels, point clouds, etc.—by marrying implicit and explicit 3D representations into a hybrid 3D representation. The present approach may directly optimize for the reconstructed surface, allowing for the synthesis of finer geometric details with fewer artifacts. The systems and methods described herein may use a deformable tetrahedral grid that encodes a discretized signed distance function (SDF) and a differentiable marching tetrahedral layer that converts the implicit SDF representation to an explicit surface mesh representation. This combination allows joint optimization of the surface geometry and topology as well as generation of the hierarchy of subdivisions using reconstruction and adversarial losses defined explicitly on the surface mesh.

Abstract: Systems and methods for cooling a datacenter are disclosed. In at least one embodiment, flow controllers are associated with cold plates and have direct and bypass ports, so that when direct ports are disabled for removal of a first cold plate, bypass ports are enabled to bypass a first cold plate and to enable a second cold plate to be continuously cooled by a datacenter cooling system.

Abstract: Apparatuses, systems, and techniques for managing lost objects in an intelligent video analytics system. A first set of application modules is executed for an object tracking application configured to track, based on images depicting an environment, a state of objects included in the environment. The first set of application modules is associated with a first object tracker type. A request is received to configure the object tracking application to execute a second set of application modules associated with a second object tracker type. The second set of application modules includes one or more application modules that are different from application modules of the first set of application modules. The object tracking application is configured to execute the second set of application modules in accordance with the request.

Abstract: Apparatuses, systems, and techniques for scheduling deep learning tasks in hardware are described. One accelerator circuit includes multiple fixed-function circuits that each processes a different layer type of a neural network. A scheduler circuit receives state information associated with a respective layer being processed by a respective fixed-function circuit and dependency information that indicates a layer dependency condition for the respective layer. The scheduler circuit determines that the layer dependency condition is satisfied using the state information and the dependency information and enables the fixed-function circuit to process the current layer at the respective fixed-function circuit.

Abstract: In various examples, systems and methods are disclosed relating to generating physics-plausible whole body motion, including determining a mesh sequence corresponding to a motion of at least one dynamic character of one or more dynamic characters and a mesh of a terrain using a video sequence, determining using a generative model and based at least one the mesh sequence and the mesh of the terrain, an occlusion-free motion of the at least one dynamic character by infilling physics-plausible character motions in the mesh sequence for at least one frame of the video sequence that includes an occlusion of at least a portion of the at least one dynamic character, and determining physics-plausible whole body motion of the at least one dynamic character by applying physics-based imitation upon the occlusion-free motion.

Abstract: A method, computer readable medium, and processor are described herein for inline data inspection by using a decoder to decode a load instruction, including a signal to cause a circuit in a processor to indicate whether data loaded by a load instruction exceeds a threshold value. Moreover, an indication of whether data loaded by a load instruction exceeds a threshold value may be stored.

Abstract: The performance of a neural network is improved by applying quantization to data at various points in the network. In an embodiment, a neural network includes two paths. A quantization is applied to each path, such that when an output from each path is combined, further quantization is not required. In an embodiment, the neural network is an autoencoder that includes at least one skip connection. In an embodiment, the system determines a set of quantization parameters based on the characteristics of the data in the primary path and in the skip connection, such that both network paths produce output data in the same fixed point format. As a result, the data from both network paths can be combined without requiring an additional quantization.

Abstract: Apparatuses, systems, and techniques to identify out-of-distribution input data in one or more neural networks. In at least one embodiment, a technique includes training one or more neural networks to infer a plurality of characteristics about input information based, at least in part, on the one or more neural networks being independently trained to infer each of the plurality of characteristics about the input information.

Abstract: Techniques to generate driving scenarios for autonomous vehicles characterize a path in a driving scenario according to metrics such as narrowness and effort. Nodes of the path are assigned a time for action to avoid collision from the node. The generated scenarios may be simulated in a computer.

Abstract: A method includes generating a differential voltage from a first reference voltage generator; receiving the differential voltage at a second reference voltage generator; dividing the differential voltage at the second reference voltage generator into multiple available reference voltage levels; and selecting one of the available reference voltage levels to apply to a circuit.

Abstract: In various examples, estimated field of view or gaze information of a user may be projected external to a vehicle and compared to vehicle perception information corresponding to an environment outside of the vehicle. As a result, interior monitoring of a driver or occupant of the vehicle may be used to determine whether the driver or occupant has processed or seen certain object types, environmental conditions, or other information exterior to the vehicle. For a more holistic understanding of the state of the user, attentiveness and/or cognitive load of the user may be monitored to determine whether one or more actions should be taken. As a result, notifications, AEB system activations, and/or other actions may be determined based on a more complete state of the user as determined based on cognitive load, attentiveness, and/or a comparison between external perception of the vehicle and estimated perception of the user.

Abstract: Apparatuses, systems, and techniques to process luminance and/or radiance values of one or more images from one or more cameras using one or more neural networks to perform a machine vision task. In at least one embodiment, one or more neural networks determine detection difficulty levels of objects within the one or more images and performs a machine vision task based on the determined detection difficulty levels of objects within images associated with that ask.

Abstract: A method for a storage system to process input and output operations. The method includes receiving writes over time to an address at a base virtual volume, storing each of the writes in a physical storage at a new location that is without existing data, tagging each stored write with a different generation number to distinguish between different versions of data written to the address at the base virtual volume, receiving a read of the address at the base virtual volume, and, in response to the read of the address at the base virtual volume, returning one of the stored writes that is tagged with a newer generation number than a remainder of the stored writes.

Abstract: Apparatuses, systems, and techniques for memory management are disclosed. In at least one embodiment, memory management is provided for a heterogenous system, for example, a system including a CPU and a GPU, in which redundant or unnecessary memory transfers are reduced.

Abstract: A hierarchical network enables access for a stacked memory system including or more memory dies that each include multiple memory tiles. The processor die includes multiple processing tiles that are stacked with the one or more memory die. The memory tiles that are vertically aligned with a processing tile are directly coupled to the processing tile and comprise the local memory block for the processing tile. The hierarchical network provides access paths for each processing tile to access the processing tile's local memory block, the local memory block coupled to a different processing tile within the same processing die, memory tiles in a different die stack, and memory tiles in a different device. The ratio of memory bandwidth (byte) to floating-point operation (B:F) may improve 50× for accessing the local memory block compared with conventional memory. Additionally, the energy consumed to transfer each bit may be reduced by 10×.