Abstract: A system receives an access token generated by a user performing authentication via an authentication device, for example, a smart card. The system obtains a personalized virtual machine assigned to the user. The system exchanges the access token for a temporary certificate having an expiry time. The system provides the temporary certificate that includes verifiable user identity to a personalized virtual machine. The system provides the user with access to the personalized virtual machine. The system allows the user to present verifiable user identity and connect to any of a plurality of systems without requiring the user to authenticate again using the authentication device. After the expiry time of the temporary certificate is exceeded, the system denies subsequent requests from the user to connect to any of the plurality of systems.

Abstract: A device to code a point cloud data that includes a memory configured to store data representing points of a point cloud, and one or more processors implemented in circuitry and configured to: determine height values of points in a point cloud; code a data structure including data that represents a top threshold and a bottom threshold; classify points having height values between the top threshold and the bottom threshold into the set of ground points; classify points having height values above the top threshold or below the bottom threshold into the set of object points. The one or more processors code the ground points and the object points according to the classifications. The one or more processors code a geometry data unit header that includes data that overrides or refines the data of the data structure for the at least one of the top threshold or the bottom threshold.

Abstract: In alternative embodiments, provided are compositions, medical devices or products of manufacture, systems, diagnostic tools, and methods, including computer implemented methods, for predicting the response of patients with dyssynchronous heart failure (DHF) to cardiac resynchronization therapy (CRT), comprising: measuring or determining the fraction of the LV/septum performing negative work (MNW); and measuring or determining the coefficient of variation of external work density (COVW), wherein the MNW fraction performing negative work and coefficient of variation COVW (sd/mean) correlated strongly with observed reduction in end-systolic volume after CRT.

Abstract: In one aspect a high frequency ultrasonic microfluidic flow control device is disclosed. The device includes an array of ultrasonic transducers arranged to direct ultrasound to a microfluidic channel. The device further includes one or more driver circuits. Each ultrasonic transducer is associated with one of the one or more driver circuits, and each ultrasonic transducer is driven by a driver signal from the associated driver circuit. The array of ultrasonic transducers and one or more driver circuits are produced in the same semiconductor fabrication process. The device further includes one or more electrical contacts associated with each ultrasonic transducer in the array if ultrasonic transducers, wherein the one or more electrical contacts associated with each ultrasonic transducer applies the driver signal from the associated ultrasonic driver circuit.

Abstract: This disclosure describes systems and techniques for synchronizing cameras and tagging images for face authentication. For face authentication by a facial recognition model, a dual infrared camera may generate an image stream by alternating between capturing a “flood image” and a “dot image” and tagging each image with metadata that indicates whether the image is a flood or a dot image. Accurately tagging images can be difficult due to dropped frames and errors in metadata tags. The disclosed systems and techniques provide for the improved synchronization of cameras and tagging of images to promote accurate facial recognition.

Abstract: Various systems and methods are described for implementing security intents for the execution of workloads in cloud-to-edge (C2E) and cloud-native execution environments. An example technique for implementing security intents for a workload on a computing node of a cluster includes: identifying a workload for execution on the computing node; identifying security intents that define levels of respective security requirements for the execution of the workload on the computing node; adapting an execution environment of the computing node, based on the identified security intents; and controlling the execution of the workload within the execution environment, based on the identified security intents, to dynamically monitor and adapt to changing security conditions during the execution of the workload.

Abstract: A method of encoding point cloud data includes receiving, for a first encoding process, geometry data of the point cloud data of a source point cloud; encoding, in accordance with the first encoding process, the geometry data to generate encoded geometry data of a target point cloud and a geometry bitstream; decoding the encoded geometry data to generate reconstructed geometry data; performing an attribute recomputing process on attribute data of the point cloud data of the source point cloud based on the reconstructed geometry data to generate recomputed, reconstructed point cloud data of the target point cloud; and encoding, in accordance with a second encoding process, the recomputed, reconstructed point cloud data to generate an attribute bitstream.

Abstract: A method of forming a memory device includes forming an alternating stack of insulating layers including a first insulating material and sacrificial material layers including a first sacrificial material over a substrate, forming a memory opening through the alternating stack, performing a first selective material deposition process that selectively grows a second sacrificial material from physically exposed surfaces of the sacrificial material layers to form a vertical stack of sacrificial material portions; forming a memory opening fill structure in the memory opening, where the memory opening fill structure includes a vertical stack of memory elements and a vertical semiconductor channel, and replacing a combination of the vertical stack of sacrificial material portions and the sacrificial material layers with electrically conductive layers.

Abstract: Example devices, systems, and techniques are described. An example technique includes determining that resampling is to be applied to a first reference frame for a slice of point cloud data or a frame of the point cloud data. The technique includes applying resampling to the first reference frame to generate a resampled reference frame. The technique includes determining one or more inter prediction candidates based on the resampled reference frame. The technique includes processing the slice of the point cloud data or the frame of the point cloud data based on the one or more inter prediction candidates.

Abstract: Methods and systems for closed loop feedback control of electrical neuromodulation are described. Closed loop feedback control is based on sensed electrical potentials, which are used as reference control variables in a feedback control algorithm to adjust the electrical stimulation based on one or more control algorithm parameters. The performance of the closed loop feedback control algorithm may be evaluated, and the feedback algorithm may be adjusted based on its performance. In some instances, the feedback algorithm may be adjusted based on an indication state of the patient.

Abstract: A monitoring system may monitor a casting environment, for example, including a mold. The monitoring system may include a camera and a computer system. The camera may be positioned to capture or detect optical data associated with one or more components in a casting environment. The camera may send the optical data to the computer system and the computer system may generate a profile associated with the casting environment. The profile may be compared with a baseline profile to determine whether a particular event has occurred. Based on the event that may have occurred, operating instructions can be generated. The operating instructions may be used to adjust the casting process.

Abstract: A method of encoding a point cloud includes determining, by one or more processors, a quantity of lasers used to capture light detection and ranging (LIDAR) data that represents the point cloud; and encoding, by the one or more processors, a laser index for a current node of the point cloud, wherein encoding the laser index comprises: obtaining a predicted laser index value of the current node; determining a residual laser index value for the current node, wherein determining the residual laser index value comprises constraining a sum of the residual laser index value and the predicted laser index value to be less than or equal to the determined quantity of lasers minus one; and encoding, in a bitstream, one or more syntax elements that represent the residual laser index value.

Abstract: A three-dimensional memory device includes an alternating stack of source layers and drain layers located over a substrate, a memory opening vertically extending through the alternating stack, a vertical word line located in the memory opening and vertically extending through each of the source layers and the drain layers of the alternating stack, discrete semiconductor channels contacting horizontal surfaces of a respective vertically neighboring pair of a source layer of the source layers and a drain layer of the drain layers, and a vertical stack of discrete memory material portions laterally surrounding the vertical word line.

Abstract: Methods and apparatus relating to an Application Programming Interface (API) for fine grained low latency decompression within a processor core are described. In an embodiment, a decompression Application Programming Interface (API) receives an input handle to a data object. The data object includes compressed data and metadata. Decompression Engine (DE) circuitry decompresses the compressed data to generate uncompressed data. The DE circuitry decompress the compressed data in response to invocation of a decompression instruction by the decompression API. The metadata comprises a first operand to indicate a location of the compressed data, a second operand to indicate a size of the compressed data, a third operand to indicate a location to which decompressed data by the DE circuitry is to be stored, and a fourth operand to indicate a size of the decompressed data. Other embodiments are also disclosed and claimed.

Abstract: An example method of encoding a point cloud includes determining one or more attribute parameters of an attribute of a point in the point cloud of a frame, wherein the one or more attribute parameters define how to determine or use a value of the attribute and are applicable to a plurality of points in the point cloud; and signaling, in a bitstream indicative of the point cloud, the one or more attribute parameters in a syntax structure that is specific to the frame.

Abstract: A method of workload management for distributing workload over a single instruction and multiple data (SIMD) based parallel processing architecture includes pre-processing of vert large ontology file on the host processor. The outcome of the preprocessing step is a set of arrays which are loaded on the SIMD based parallel processing architecture to process the ontology file over input text documents of any kind and generate the tagged outcome. The method provides the maximum granularity to facilitate allocation of the maximum number of software threads on the SIMD based parallel processing architecture to achieve minimum document processing latency.

Abstract: A method of encoding point cloud data includes determining that a node of the point cloud data is to be encoded in inferred direct coding mode (IDCM); determining that a number of points in the node is less than a threshold; and in a condition where the number of points in the node is less than the threshold, encoding the node with IDCM and with planar mode being disabled.

Abstract: A device for decoding encoded point cloud data can be configured to, for a point of a point cloud, determine a first color value for a first color component based on a first predicted value and a first residual value; apply a scaling factor to the first residual value to determine a predicted second residual value, wherein the scaling factor has one or both of a non-integer value or an absolute value greater than one; for the point of the point cloud, receive a second residual value in the encoded point cloud data; determine a final second residual value based on the predicted second residual value and the received second residual value; and for the point of the point cloud, determine a second color value for a second color component based on a second predicted value and the final second residual value.

Abstract: A pixel array includes a plurality of pixels. Each pixel includes a photoelectric conversion region that converts incident light into electric charge, and a charge transfer section coupled to the photoelectric conversion region and having line symmetry along a first axis in a plan view. The charge transfer section includes a first transfer transistor coupled to a first floating diffusion and the photoelectric conversion region and located at a first side of the photoelectric conversion region, and a second transfer transistor coupled to a second floating diffusion and the photoelectric conversion region and located at the first side of the photoelectric conversion region.