Abstract: Aspects of the disclosure are directed to processor prefetching. In accordance with one aspect, processor prefetching includes determining if an exposed latency parameter is greater than zero; determining if a loop is present in a program code; determining if access overlap across fibers is true; and performing one of the following: a) insert a prefetch every quantity K fibers at a prefetch distance D; b) insert a prefetch every quantity K fibers with a maximum of quantity N iterations; or c) insert a prefetch per fiber with a maximum of quantity N iterations ahead; and wherein, the prefetch distance D is equal to an exposed latency parameter divided by an average instruction latency parameter, the quantity K is equal to a cache line size divided by a per fiber access size, and the quantity N is equal to an exposed latency parameter divided by an average iteration latency parameter.

Abstract: A multimodal, large language model (LLM)-powered smart service specifically tailored for manufacturing quality G-Code is described. This LLM can be considered as an information encoder that compiles the information from input data of various modalities into a shared numerical representation (or embedding). The various modalities in an example database used by the LLM and/or used to train the LLM, correspond to different representations of the part under consideration, such as design specifications, G-code, and CAD models. This embedding can then be used for different downstream tasks, such as verifying, debugging, indexing, etc., of a potentially vast set of G-Code files.

Abstract: A method comprises: for each of a plurality of dimensions: identifying a reference position for the dimension, the reference position for the dimension being a position in a reference frame for the respective dimension, and the reference frame for the respective dimension and a reference frame for at least one other dimension in the plurality of dimensions being different reference frames in a plurality of reference frames; identifying an inter predictor for the respective dimension, wherein a predictor has a coordinate value in the respective dimension corresponding to a coordinate value in the respective dimension of the inter predictor for the respective dimension; and encoding or decoding the current point based on the predictor.

Abstract: An improved machine learning based method for authorizing the performance of a treatment, comprising the steps of: receiving a treatment authorization request, the treatment authorization request including a historical record of the person who will receive the treatment and treatment identifying information relating to the treatment; creating an extracted text of the historical record using optical character recognition on the historical record; determining whether to analyze authorization performance of the treatment using a machine learning authorization process, wherein the determination is based on treatment identifying information and whether treatment authorization guidelines exist for the identified treatment; in response to a determination to analyze authorization performance of the treatment using a machine learning authorization process: identifying authorization criteria for the treatment based on the treatment authorization guidelines, wherein the authorization criteria includes records data condi

Abstract: A method for determining engine oil system health includes determining an oil level in an engine oil sump of an engine, determining an oil consumption rate of the engine based on a current oil volume and a time at which the oil was last replenished, determining a remaining useful oil volume based on the oil consumption rate and duty cycle data of the engine, and generating an alert in response to the oil consumption rate being greater than a predetermined threshold, the alert comprising a command to a controller associated with the engine to cause the engine to perform an action.

Abstract: A computer-implemented labeling technique generates a task description that describes a labeling task to be given to a language model. The technique then sends a prompt to the language model, which includes the task description and a particular item to be labeled. The technique receives a response provided by the language model in response to the prompt, which specifies a class assigned by the language model to the item. In some implementations, the task description specifies a group of suggested classes to be used in classifying the particular item. The task description also invites the language model to specify another class upon a finding that none of the group of suggested classes applies to the item. The technique also allows a user to stop and restart a labeling run at any point in the labeling run. Other aspects of the technique include consensus processing and weight updating.

Abstract: A ferroelectric memory device includes an alternating stack of insulating layers and electrically conductive layers, a memory opening extending vertically through the alternating stack and including laterally-protruding portions at levels of the electrically conductive layers, and a memory opening fill structure located in the memory opening and containing a vertical semiconductor channel and a vertical stack of discrete ferroelectric memory structures located in the laterally-protruding portions of the memory opening. Each of the ferroelectric memory structures includes crystalline ferroelectric material portion and a crystalline template material portion located between a respective electrically conductive layer of the electrically conductive layers and the crystalline ferroelectric material portion.

Abstract: An electronics equipment cabinet includes one or more cabinet walls defining an interior enclosure space for housing electronic equipment and an air management box coupled to an interior surface of one of the one or more cabinet walls. The air management box includes a wall and a plurality of plates detachably coupled to the wall. The plates include a first plate having one or more perforations defining a first perforation pattern and a second plate having one or more perforations defining a second perforation pattern to control the direction and/or volume of airflow to the electronic equipment in the interior enclosure space or from the electronic equipment in the interior enclosure space to the air management box. The first perforation pattern is different than the second perforation pattern. Other example electronics equipment cabinets, electronics equipment cabinet kits, and methods of controlling airflow in electronic equipment cabinets are also disclosed.

Abstract: An example of processing a point cloud includes responsive to determining to predict a current point in the point cloud using predictive geometry coding, selecting, from a set of prediction modes, a prediction mode for the current point, wherein the set of prediction modes includes at least an intra prediction mode and an inter prediction mode; and responsive to selecting the inter prediction mode for the current point, predicting the current point of the point cloud using inter prediction.

Abstract: A device for encoding point cloud data, the device comprising: a memory to store the point cloud data; and one or more processors coupled to the memory and implemented in circuitry, the one or more processors configured to: determine a horizontal plane position of a node, wherein the horizontal plane position indicates a position of a single plane that is perpendicular to a first axis of a coordinate system, wherein the first axis is a horizontal axis; determine, from a plurality of contexts consisting of 8 contexts, a context for the horizontal plane position of the node; and perform arithmetic encoding on a syntax element indicating the horizontal plane position using the determined context.

Abstract: Techniques for detecting failures associated with fuel distribution systems. The techniques may include receiving first oil pressure data associated with an engine of a machine and receiving second oil pressure data associated with a high-pressure pump supplying fuel to the engine. Based at least in part on the first oil pressure data and the second oil pressure data, an impending failure associated with the high-pressure pump may be determined. For instance, utilizing the first oil pressure data and the second oil pressure data, a difference between a first oil pressure value associated with the engine and a second oil pressure value associated with the high-pressure pump may be calculated. The difference in the oil pressure values and the second oil pressure value may be indicative of the impending failure. In some instances, an action may be performed based on detecting the impending failure.

Abstract: A device for decoding point cloud data includes: one or more memories configured to store the point cloud data; and processing circuitry coupled to the one or more memories, wherein the processing circuitry is configured to: apply a first process to a reference point cloud frame to generate a first level processed frame; apply a second process to the first level processed frame to generate a second level processed frame; inter-prediction decode geometry data of points of a current point cloud frame using the first level processed frame; and inter-prediction decode attribute data of points of the current point cloud frame using the second level processed frame.

Abstract: According to a first aspect there is disclosed a housing assembly comprising: a housing body defining an interior space configured to receive a switch, and an aperture configured to provide access to the interior space from an exterior of the housing body; a soft sealing element disposed in the aperture and bonded to the housing body so as to seal the aperture between the interior space and the exterior of the housing body, the soft sealing element configured to be elastically deformable to actuate the switch when disposed in the housing body; and a hard island fixed to the soft sealing element, wherein the hard island is separate from, and moveable relative to, the housing body into the interior space so as to elastically deform the soft sealing element to actuate the switch when disposed in the housing body.

Abstract: Implementations of the disclosed subject matter may provide an adaptive thrust structure for a space launch vehicle that may include an interface block that is fluidically coupled to a fuel supply, a fuel manifold, an oxidizer supply, and an oxidizer manifold. A first adapter plate may be coupled to a first engine assembly. First adapter lines may be fluidically coupled to the first engine assembly and the interface block, via the first adapter plate. A second engine assembly, second adapter lines, and a second adapter plate are capable of replacing the first engine assembly, first adapter lines, and first adapter plate. Implementations of the disclosed subject matter may provide a reusable and reconfigurable launch vehicle that may include a reusable second stage, and a reusable and reconfigurable transporter having a plurality of zones that are configurable to transport cargo, one or more passengers, and/or one or more satellites.

Abstract: Systems, apparatuses, and methods for serial peripheral interfaces are provided, particularly for PVT compensated serial peripheral interfaces with slow transition serial interface IO transmitter with reduced delay. The serial peripheral interfaces may include driver circuitry, pre-driver circuitry, PVT compensated current sink circuitry, and PVT compensated current source circuit. The PVT compensated current sink circuitry and PVT compensated current source circuit may generate and transmit signals compensating for PVT to the pre-driver circuitry, which may generate and transmit signals controlling IO data signals generated by the driver circuitry. The IO data signals generated may be compensated for process, voltage, and temperature. The compensation may provide IO data signals with slower transition times and with reduced delays.

Abstract: A device for decoding encoded mesh data is configured to receive, in a bitstream of the encoded mesh data, one or more syntax elements; determine an offset value based on the one or more syntax elements; determine a set of transform coefficients; apply the offset to the set of transform coefficients to determine a set of updated transform coefficients; inverse transform the set of updated transform coefficients to determine a set of displacement vectors; and determine a decoded mesh based on the set of displacement vectors.

Abstract: Methods and apparatus relating to an instruction and/or micro-architecture support for decompression on core are described. In an embodiment, decode circuitry decodes a decompression instruction into a first micro operation and a second micro operation. The first micro operation causes one or more load operations to fetch data into one or more cachelines of a cache of a processor core. Decompression Engine (DE) circuitry decompresses the fetched data from the one or more cachelines of the cache of the processor core in response to the second micro operation. Other embodiments are also disclosed and claimed.

Abstract: A method including receiving (S605) a request for a depth map, generating (S625) a hybrid depth map based on a device depth map (110) and downloaded depth information (105), and responding (S630) to the request for the depth map with the hybrid depth map (415). The device depth map (110) can be depth data captured on a user device (515) using sensors and/or software. The downloaded depth information (105) can be associated with depth data, map data, image data, and/or the like stored on a remote (to the user device) server (505).

Abstract: An example method may include executing, using an integration plugin installed on a first cloud-based automation platform running in a first management node, a schedule job to obtain an API response from a second management node executing a second cloud-based automation platform. The API response may include a custom form schema of a first form associated with the second cloud-based automation platform in a first defined data format. Further, the method may include parsing the custom form schema to determine form fields and dependency of the form fields. Furthermore, the method may include translating the custom form schema into a second defined data format supported by the first cloud-based automation platform based on the parsed custom form schema. Further, the method may include persisting the translated custom form schema in a database associated with the first cloud-based automation platform.

Abstract: An example device for coding point cloud data includes a memory configured to store point cloud data; and one or more processors implemented in circuitry and configured to: determine whether inter prediction data is coded for a current node of an octree of the point cloud data; determine whether planar mask data is coded for the current node; when at least one of the inter prediction data or the planar mask data is coded for the current node, avoid coding a single occupancy value for the current node, the single occupancy value indicating whether only a single sub-node of the current node includes a point; and code the current node. The processors may also be configured to determine a context for entropy coding the planar mask data according to planar mask data for a collocated node in a reference frame when the planar mask data is coded.