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 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: 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: 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: 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 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.

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 device for processing point cloud data is configured to determine a first attribute value for a first point of a point cloud, the first point being a closest already-decoded point to a current point of the point cloud; determine second and third attribute values for second and third points of the point cloud, the second and third points being second and third closest already-decoded points; determine a fourth attribute value for a fourth point of the point cloud, the fourth point being an already-decoded point that is either further from, or the same distance to, the current point as the third point; generate a set of predictor candidates with a subset of the first attribute value, the second attribute value, the third attribute value, and the fourth attribute value based on a comparison of a location of the second point to a location of the third point.

Abstract: Methods, systems, and media for determining curved advertisement viewability in virtual environments are provided.

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: Methods, systems, and media for determining viewability of three-dimensional digital advertisements are provided.

Abstract: Methods, systems, and media for determining viewability of a content item in a virtual environment having particles are provided. In some embodiments, the method comprises: selecting a first plurality of pixels of the content item; determining a first plurality of color values of the first plurality of pixels of the content item; selecting a second plurality of pixels of an image of a rendered screen of a virtual environment; determining a second plurality of color values of the second plurality of pixels of the image of the rendered screen of the virtual environment; comparing the first plurality of color values with the second plurality of color values; and determining whether the content item being presented within the virtual environment is being obstructed by a visual element based on the comparison.

Abstract: A method of decoding point cloud data comprises obtaining a bitstream that is encoded to comply with one or more constraints and decoding the bitstream, wherein decoding the bitstream comprises: determining a residual value of a first component of an attribute of a point; generating a predicted value of a second component of the attribute of the point; and reconstructing the second component as a sum of the predicted value of the second component and a multiplication product of a scale factor for the second component and the residual value of the first component, wherein the constraints include a constraint that limits the first component of the attribute of the point, the residual value of the first component of the attribute of the point, the second component of the attribute, and the residual value of the second component of the attribute of the point to one or more predefined bitdepths.

Abstract: An example device for decoding point cloud data includes: a memory configured to store point cloud data; and one or more processors implemented in circuitry and configured to: decode a frame of the point cloud data including a plurality of points, each of the points being associated with position values defining a respective position of the point; determine a global scaling factor for the frame; and scale the position values of each of the points by the global scaling factor. The scaling may be clipped to prevent the points exceeding the boundaries of a corresponding bounding box including respective points.

Abstract: Systems or techniques that facilitate automated imaging protocol management for hybrid modalities are provided. In various embodiments, a system can electronically access a first medical imaging scanner and a second medical imaging scanner, wherein the first medical imaging scanner and the second medical imaging scanner can be of different image-capture modalities. In various aspects, the system can electronically perform automated imaging protocol management across the first medical imaging scanner and the second medical imaging scanner. In various instances, such automated imaging protocol management can comprise: hybrid-aware scanner registration management; hybrid-aware protocol dependency management; hybrid-aware protocol commit management; hybrid-aware remote protocol marking management; hybrid-aware protocol restore management; hybrid-aware protocol editing management; or hybrid-aware scanner-protocol incompatibility management.

Abstract: A semiconductor structure includes an alternating stack of insulating layers and electrically conductive layers, a memory opening vertically extending through the alternating stack, and a memory opening fill structure located in the memory opening and containing a vertical semiconductor channel and a memory film. The memory film includes a tunneling dielectric layer, a continuous charge storage material layer vertically extending through a plurality of the electrically conductive layers, a vertical stack of discrete charge storage elements located at levels of the electrically conductive layers and contacting a respective surface segment of an outer sidewall of the continuous charge storage material layer, and a vertical stack of discrete blocking dielectric material portions containing silicon atoms and oxygen atoms and located at the levels of the electrically conductive layers and vertically spaced apart from each other.

Abstract: A light assembly including a heat sink assembly including an extrusion. The extrusion defines at least one internal passageway between a lower face and an upper face. The at least one internal passageway has an open upper end and an open lower end wherein air is drawn into the open lower end and exhausted out the open upper end via natural convection. A swivel yoke assembly is attached to the lower face of the heat sink assembly. The swivel yoke assembly includes an upper bracket, a lower bracket and a swivel hub attached to upper bracket and the heat sink assembly. The upper bracket and the lower bracket are configured to pivot about a horizontal axis relative to each other and the swivel hub is rotatable about a vertical axis.

Abstract: A ferroelectric transistor includes a semiconductor channel comprising a semiconductor material, a strained and/or defect containing ferroelectric gate dielectric layer located on a surface of the semiconductor channel, a source region located on a first end portion of the semiconductor channel, and a drain region located on a second end portion of the semiconductor channel.

Abstract: Disclosed are various embodiments of a multiuser unified endpoint management (UEM) system. A device check-in can be received from a client device. The device check-in can include a device identifier that uniquely identifies the client device with respect to other client devices and a user identifier that uniquely identifies the user of the client device with respect to other users of the client device. In response, a device channel identifier associated with the device identifier and a user channel identifier associated with both the user identifier and the device identifier can be obtained. Then a first set of entitlements associated with the device channel identifier and a second set of entitlements associated with the user channel identifier can be selected. Both sets of entitlements can be provided to the client device in response to the device check-in.