Abstract: A system on a wafer (SoW) assembly is disclosed. The SoW assembly can include a first SoW assembly structure with a first coefficient of thermal expansion (CTE). The first SoW assembly structure includes first to third slots at different locations. The SoW assembly can include a second SoW assembly structure stacked on the first SoW assembly structure. The second SoW assembly structure has a second CTE different from the first CTE. The second SoW assembly structure has first to third pins extending therefrom and disposed in the first to third slots. The first and second slots shaped to allow the first and second pins to move along a first axis, and the third slot shaped to allow the third pin to move along a second axis. The first SoW assembly structure can be a SoW and the second SoW assembly structure can be a heat dissipation structure in certain applications.

Abstract: With ever-increasing capacities and performance demanded in new storage devices, the number of control table data entries are increased to store more updates stemming from the increased number of read and/or write operations. To avoid becoming a bottleneck, devices, such as storage devices, and other similar methods and systems as described herein efficiently manage control table sets to reduce latency. This can be accomplished by designating a specific position for each control table set and storing updates to such control table sets in a designated position. Furthermore, data can be efficiently kept in the volatile memory, such as SRAM, or evicted from the volatile memory to the non-volatile memory, such as NAND. Determinations can occur for when the read/write operations should be performed using volatile memory or non-volatile memory. These determinations can be decided dynamically and based on the storage device state and incoming workload, resulting in lower overall latencies.

Abstract: Animations of medical images are rendered. At least one input is received. Each input is a medical image dataset. A set of keyframes associated with the received input is selected. A keyframe is predetermined values of a set of rendering parameters. Intermediary frames are generated in a temporal sequence between two consecutive, according to a temporal ordering, keyframes. Generating the intermediary frames is based on optimizing a perceptual metric associated with the selected set of keyframes and the generated intermediary frames. The perceptual metric is optimized as a function of values of the set of rendering parameters associated with each of the intermediary frames. An animation using the generated intermediary frames and the selected set of keyframes is rendered.

Abstract: A method includes obtaining a digital seismic file, obtaining a digital seismic file, and performing autodetection of parameters of the digital seismic file. The method further includes extracting seismic data from the digital seismic file according to the parameters to generate normalized seismic data. The method further includes scanning the normalized seismic data to obtain metadata that includes geographic file boundaries and mapping the normalized seismic data to a parent virtual survey based at least in part on the geographic file boundaries being in a geographic region of a parent virtual survey. The method additionally includes storing, in a target store, the normalized seismic data and metadata, the normalized seismic data in a stored relationship with the parent virtual survey in the target store.

Abstract: A neural network (16) operating on volume data and using convolutional layers (24) may better classify conversion or Alzheimer's disease. The neural network (16) may be trained to operate on incomplete data. The neural network (16) may have a branching architecture (30-34) for more accurate classification given a variety of types of available data (20, 21) for a given patient.

Abstract: In an embodiment of the present disclosure, a device structure includes a fin structure, a gate on the fin structure, and a source and a drain on the fin structure, where the gate is between the source and the drain. The device structure further includes an insulator layer having a first insulator layer portion adjacent to a sidewall of the source, a second insulator layer portion adjacent to a sidewall of the drain, and a third insulator layer portion therebetween adjacent to a sidewall of the gate, and two or more stressor materials adjacent to the insulator layer. The stressor materials can be tensile or compressively stressed and may strain a channel under the gate.

Abstract: A method for generating cropped images depicting objects captured in video data includes receiving, at a processor of a video camera system, a video stream including a series of video frames depicting an object. A classification for the object is generated, and an occurrence of the object being detected is identified in an additional video frame(s) from the series of video frames. A motion associated with the object is calculated based on the classification and the additional video frame(s). At least one image that depicts the object and includes a cropped portion of a video frame from the series of video frames is generated, along with an associated set of at least one quality score, in response to calculating the motion. The method also includes causing transmission of the at least one image to at least one remote compute device based on the set of at least one quality score.

Abstract: A cross domain generalization system for industrial artificial intelligence (AI) applications is disclosed. A target encoder subsystem obtains target data from a target machine product and generates lower dimensional data for obtained target data using a target artificial intelligence (AI) model. The generated lower dimensional data are corresponding to a plurality of target embeddings data. The target encoder subsystem further applies the plurality of target embeddings data into a source classifier AI model. A source classifier subsystem predicts a quality of the target machine product by generating class labels for each of the plurality of target embeddings data based on a result of the classifier AI model. The goal of the present invention is to learn features or representations such that the correlation with a label space is similar both in source and target domains while being invariant of data distributions.

Abstract: A computer-implemented video generation neural network system, configured to determine a value for each of a set of object latent variables by sampling from a respective prior object latent distribution for the object latent variable. The system comprises a trained image frame decoder neural network configured to, for each pixel of each generated image frame and for each generated image frame time step process determined values of the object latent variables to determine parameters of a pixel distribution for each of the object latent variables, combine the pixel distributions for each of the object latent variables to determine a combined pixel distribution, and sample from the combined pixel distribution to determine a value for the pixel and for the time step.

Abstract: The present disclosure provides magnetic resonance phantom imaging phantoms and method of assembling thereof. In one aspect, a magnetic resonance imaging phantom can include a plurality of modular components. The plurality of modular components can include a first modular component, a second modular component, a shell, and a lid. The second modular component can be different than the first modular component. The shell can be structured to receive at least one modular component. The lid can be attachable to the shell to enclose the at least one modular component received within the shell.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: The present disclosure provides systems and methods for synthesizing computer-readable code based on the receipt of input and output examples. A computing system in accordance with the disclosure can be configured to receive a given input and output, access and library of operations, and perform a search of a library of operations (e.g., transpose, slice, norm, etc.) that can be applied to the input. By applying the operations to the input and tracking the results, the computing system may identify an expression comprising one or a combination of operations that when applied to the input generates the output. In this manner, implementations of the disclosure may be used to identify one or more solutions that a user having access to the library of operations may use to generate the output from the input.

Abstract: Systems and techniques for time-series forecasting are illustrated. One embodiment includes a method for refining time-series forecasts, the method obtains timestep information including baseline information, a time gap, and context information. The baseline information includes information known about the system at a time when the multivariate time-series is generated. The context information includes at least one vector of time-independent background variables related to the system. The method determines, based on the timestep information, parameter predictions for the system at a first timestep and a second timestep. The method derives actual state values for the system at the first timestep. The method updates the parameter predictions for the system at the second timestep, using a gating function, based on a discrepancy between: the parameter predictions for the system at the first timestep, and the actual state values for the system at the first timestep.

Abstract: Systems, methods and computer software are disclosed for providing for providing a 5G mobile network. In one embodiment a method is disclosed, comprising: providing a first base station having a first coverage area for a first Radio Access Network (RAN); providing a second base station having a second coverage area, the second coverage area within the first coverage area of the first base station for an overlay RAN; providing a 5G base station having a third coverage area, the third coverage area within the first coverage area and within the second coverage area and part of the overlay RAN; and determining, by a 5G Interworking Function (IWF) device, which subscribers are to be serviced by the overlay RAN and which subscribers are to be serviced by the first RAN.

Abstract: Among other things, equipment is located at an intersection of a transportation network. The equipment includes an input to receive data from a sensor oriented to monitor ground transportation entities at or near the intersection. A wireless communication device sends to a device of one of the ground transportation entities, a warning about a dangerous situation at or near the intersection, there is a processor and a storage for instructions executable by the processor to perform actions including the following. A machine learning model is stored that can predict behavior of ground transportation entities at or near the intersection at a current time. The machine learning model is based on training data about previous motion and related behavior of ground transportation entities at or near the intersection.

Abstract: Techniques are described herein for translating a source code snippet from a first programming language to a second programming language independently of sequence-to-sequence decoding. In various implementations, the source code snippet written in the first programming language may be processed using an encoder portion of a transformer network to generate an embedding of the source code snippet. The embedding of the source code snippet may be processed using an all-pair attention layer to generate an attended embedding of the source code snippet. The attended embedding of the source code snippet may be processed using an output layer to generate, by way of a single transformation of the attended embedding of the source code snippet, data indicative of a translation of the source code snippet in the second programming language.

Abstract: Integrated circuit cell architectures including both front-side and back-side structures. One or more of back-side implant, semiconductor deposition, dielectric deposition, metallization, film patterning, and wafer-level layer transfer is integrated with front-side processing. Such double-side processing may entail revealing a back side of structures fabricated from the front-side of a substrate. Host-donor substrate assemblies may be built-up to support and protect front-side structures during back-side processing. Front-side devices, such as FETs, may be modified and/or interconnected during back-side processing. Electrical test may be performed from front and back sides of a workpiece. Back-side devices, such as FETs, may be integrated with front-side devices to expand device functionality, improve performance, or increase device density.

Abstract: An aspect of the present disclosure relates to processing audio comprising decoding a first bitstream (b1) to obtain decoded immersive audio content (A), decoding a second bitstream (bp) to obtain pose information (P, V, V?) associated with a user of a lightweight processing device, determining a first head-pose (P?) based on the pose information, providing a downmix representation (Dmx) of the immersive audio content (A) corresponding to the first head pose (P?), rendering a set of binaural representations (BINn) of the immersive audio content (A), wherein the binaural representations correspond to a second set of head poses (Pn), computing reconstruction metadata (M) to enable reconstruction of the set of binaural representations from the downmix representation (Dmx), the metadata (M) including the first head pose (P?), and encoding the downmix representation (Dmx) and the reconstruction metadata (M) in a third bitstream (b2).

Abstract: Detection of volatile organic compounds (VOCs) is disclosed, including: receiving mobile sensor data, wherein the mobile sensor data includes volatile organic compounds (VOC) sensor data and non-VOC sensor data; identifying VOC peaks in the VOC sensor data; identifying non-VOC peaks in the non-VOC sensor data; correlating the VOC peaks with the non-VOC peaks; and determining a source type associated with the VOC peaks based at least in part on the correlation between the VOC peaks and the non-VOC peaks.

Abstract: Integrated circuit structures having cavity spacers, and methods of fabricating integrated circuit structures having cavity spacers, are described. For example, an integrated circuit structure includes a sub-fin structure over a stack of nanowires. A gate structure is vertically around the stack of nanowires. An internal gate spacer is between vertically adjacent ones of the nanowires and adjacent to the gate structure. A trench contact structure is laterally adjacent to a side of the gate structure. A cavity spacer is laterally between the gate structure and the trench contact structure.