Abstract: A system includes a first device and a second device coupled to a link having one or more lanes. The first device is to transmit two or more frames to synchronize the one or more data lanes, where each frame comprises a quantity of bits. The second device is to receive a first set of bits from each data lane corresponding to the quantity of bits in each frame of the two or more frames. The second device is to determine that the first set of bits received from a data lane of the one or more data lanes does not correspond to a frame boundary of the two or more frames. The second device is further to synchronize each data lane of the one or more data lanes with respect to the frame boundary, responsive to determining that the first set of bits does not correspond to the frame boundary.

Abstract: In various examples, training methods as described to generate a trained neural network that is robust to various environmental features. In an embodiment, training includes modifying images of a dataset and generating boundary boxes and/or other segmentation information for the modified images which is used to train a neural network.

Abstract: Apparatuses, systems, and techniques to enhance video are disclosed. In at least one embodiment, one or more neural networks are used to create, from a first video, a second video having one or more additional video frames.

Abstract: In various examples, surface profile estimation and bump detection may be performed based on a three-dimensional (3D) point cloud. The 3D point cloud may be filtered in view of a portion of an environment including drivable free-space, and within a threshold height to factor out other objects or obstacles other than a driving surface and protuberances thereon. The 3D point cloud may be analyzed—e.g., using a sliding window of bounding shapes along a longitudinal or other heading direction—to determine one-dimensional (1D) signal profiles corresponding to heights along the driving surface. The profile itself may be used by a vehicle—e.g., an autonomous or semi-autonomous vehicle—to help in navigating the environment, and/or the profile may be used to detect bumps, humps, and/or other protuberances along the driving surface, in addition to a location, orientation, and geometry thereof.

Abstract: In various examples, live perception from sensors of a vehicle may be leveraged to detect and classify intersections in an environment of a vehicle in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputs—such as bounding box coordinates for intersections, intersection coverage maps corresponding to the bounding boxes, intersection attributes, distances to intersections, and/or distance coverage maps associated with the intersections. The outputs may be decoded and/or post-processed to determine final locations of, distances to, and/or attributes of the detected intersections.

Abstract: Apparatuses, systems, and techniques to identify a goal of a demonstration. In at least one embodiment, video data of a demonstration is analyzed to identify a goal. Object trajectories identified in the video data are analyzed with respect to a task predicate satisfied by a respective object trajectory, and with respect to motion predicate. Analysis of the trajectory with respect to the motion predicate is used to assess intentionality of a trajectory with respect to the goal.

Abstract: Configurations for data center component monitoring are disclosed. In at least one embodiment, movement of a server component is determined based on sensor data and the movement is used to diagnose a root cause for a server component failure.

Abstract: In various examples, activation criteria and/or braking profiles corresponding to automatic emergency braking (AEB) systems and/or collision mitigation warning (CMW) systems may be determined using sensor data representative of an environment to a front, side, and/or rear of a vehicle. For example, activation criteria for triggering an AEB system and/or CMW system may be adjusted by leveraging the availability of additional information with regards to the surrounding environment of a vehicle—such as the presence of a trailing vehicle. In addition, the braking profile for the AEB activation may be adjusted based on information about the presence of and/or location of vehicles to the front, rear, and/or side of the vehicle. By adjusting the activation criteria and/or braking profiles of an AEB system, the potential for collisions with dynamic objects in the environment is reduced and the overall safety of the vehicle and its passengers is increased.

Abstract: A cooling system for a datacenter is disclosed. The datacenter cooling system includes a refrigerant cooling loop to extract heat from a secondary cooling loop that is located within the datacenter or to provide supplemental cooling to one or more components of the datacenter that are coupled to the secondary cooling loop.

Abstract: The present invention facilitates efficient and effective utilization of unified virtual addresses across multiple components. In one embodiment, the presented new approach or solution uses Operating System (OS) allocation on the central processing unit (CPU) combined with graphics processing unit (GPU) driver mappings to provide a unified virtual address (VA) across both GPU and CPU. The new approach helps ensure that a GPU VA pointer does not collide with a CPU pointer provided by OS CPU allocation (e.g., like one returned by “malloc” C runtime API, etc.).

Abstract: A parallel processing unit (PPU) can be divided into partitions. Each partition is configured to operate similarly to how the entire PPU operates. A given partition includes a subset of the computational and memory resources associated with the entire PPU. Software that executes on a CPU partitions the PPU for an admin user. A guest user is assigned to a partition and can perform processing tasks within that partition in isolation from any other guest users assigned to any other partitions. Because the PPU can be divided into isolated partitions, multiple CPU processes can efficiently utilize PPU resources.

Abstract: Virtual reality (VR) displays are computer displays that present images or video in a manner that simulates a real experience for the viewer. In many cases, VR displays are implemented as head-mounted displays (HMDs) which provide a display in the line of sight of the user. Because current HMDs are composed of a display panel and magnifying lens with a gap therebetween, proper functioning of the HMDs limits their design to a box-like form factor, thereby negatively impacting both comfort and aesthetics. The present disclosure provides a different configuration for a VR display which allows for improved comfort and aesthetics, including specifically at least one coherent light source, at least one pupil replicating waveguide coupled to the at least one coherent light source to receive light therefrom, and at least one spatial light modulator coupled to the at least one pupil replicating waveguide to modulate the light.

Abstract: Systems and methods for cooling a datacenter are disclosed. In at least one embodiment, a sensor string is associated with a first fluid line having a first flow controller and with a second fluid line having a second flow controller, so that sections of such a sensor string are enabled to maintain electrical connectivity there through by a mechanical coupling of a first flow controller and a second flow controller.

Abstract: Apparatuses, systems, and techniques to allocate portions of a virtual address space to allow virtual machines to share data. In at least one embodiment, at least a portion of a virtual memory address space is made accessible to multiple virtual machines and is mapped to memory addresses of different physical devices using, at least in part, a cache-coherent protocol.

Abstract: In various examples, systems and methods are disclosed that provide highly accurate gaze predictions that are specific to a particular user by generating and applying, in deployment, personalized calibration functions to outputs and/or layers of a machine learning model. The calibration functions corresponding to a specific user may operate on outputs (e.g., gaze predictions from a machine learning model) to provide updated values and gaze predictions. The calibration functions may also be applied one or more last layers of the machine learning model to operate on features identified by the model and provide values that are more accurate. The calibration functions may be generated using explicit calibration methods by instructing users to gaze at a number of identified ground truth locations within the interior of the vehicle. Once generated, the calibration functions may be modified or refined through implicit gaze calibration points and/or regions based on gaze saliency maps.

Abstract: A technique for streaming and a client device that uses the technique are disclosed herein. The disclosed technique determines context complexity of streamed data and determines whether to discard or select the streamed data for a future reference frame based on the context complexity of the streamed data. The streamed data is discarded if the content complexity is higher than a content complexity threshold, and the streamed data is selected if the content complexity is not higher than a content complexity threshold. This is based on the realization that error propagation in the case of a less complex video sequence is not very bothersome to the end user experience whereas corruption will be very severe in cases of highly complex sequences.

Abstract: In various examples, sensor data may be collected using one or more sensors of an ego-vehicle to generate a representation of an environment surrounding the ego-vehicle. The representation may include lanes of the roadway and object locations within the lanes. The representation of the environment may be provided as input to a longitudinal speed profile identifier, which may project a plurality of longitudinal speed profile candidates onto a target lane. Each of the plurality of longitudinal speed profiles candidates may be evaluated one or more times based on one or more sets of criteria. Using scores from the evaluation, a target gap and a particular longitudinal speed profile from the longitudinal speed profile candidates may be selected. Once the longitudinal speed profile for a target gap has been determined, the system may execute a lane change maneuver according to the longitudinal speed profile.

Abstract: Neural networks, in many cases, include convolution layers that are configured to perform many convolution operations that require multiplication and addition operations. Compared with performing multiplication on integer, fixed-point, or floating-point format values, performing multiplication on logarithmic format values is straightforward and energy efficient as the exponents are simply added. However, performing addition on logarithmic format values is more complex. Conventionally, addition is performed by converting the logarithmic format values to integers, computing the sum, and then converting the sum back into the logarithmic format. Instead, logarithmic format values may be added by decomposing the exponents into separate quotient and remainder components, sorting the quotient components based on the remainder components, summing the sorted quotient components to produce partial sums, and multiplying the partial sums by the remainder components to produce a sum.

Abstract: One embodiment of the present invention sets forth a data pipeline, which includes a first mousetrap element and a second mousetrap element in a first pipeline stage. Each mousetrap element includes a request latch that, when enabled, allows a request signal to pass from the first pipeline stage to a second pipeline stage following the first pipeline stage in the data pipeline. Each mousetrap element also includes a data latch that, when enabled, allows a data element to pass from the first pipeline stage to the second pipeline stage. Each mousetrap element further includes a latch controller that enables and disables the request and data latches based on a phase signal that alternates between a first value that configures the first mousetrap element to transmit data to the second pipeline stage and a second value that configures the second mousetrap element to transmit data to the second pipeline stage.

Abstract: A method, computer program product, apparatus, and system are provided. Some embodiments may include transmitting a request to make one or more writes associated with an identification tag. The request may include the identification tag, the one or more writes, a first instruction to make the one or more writes to one of a plurality of persistence levels of a memory, and a second instruction to respond with at least one first indication that the one or more writes associated with the identification tag have been written to at least one of the one of the plurality of persistence levels of the memory. Some embodiments may include receiving the at least one first indication that the one or more writes associated with the identification tag have been written to at least one of the one of the plurality of persistence levels of the memory.