Abstract: A geospatial modeling system may include a memory and a processor cooperating therewith to: (a) generate a three-dimensional (3D) geospatial model including geospatial voxels based upon a plurality of geospatial images; (b) select an isolated geospatial image from among the plurality of geospatial images; (c) determine a reference geospatial image from the 3D geospatial model using Artificial Intelligence (AI) and based upon the isolated geospatial image; (d) align the isolated geospatial image and the reference geospatial image to generate a predictively registered image; (e) update the 3D geospatial model based upon the predictively registered image; and (f) iteratively repeat (b)-(e) for successive isolated geospatial images.

Abstract: Disclosed are a method and a system for processing a computer-generated hologram (CGH). The system for processing a CGH includes a CGH generation apparatus and a display apparatus. The CGH generation apparatus repeatedly performs a process of propagating object data from a first depth layer to a second depth layer, changing amplitude data of the object data to second predefined amplitude data, back-propagating the object data from the second depth layer to the first depth layer, and changing the amplitude data of the object data to first predefined amplitude data, and generates a CGH by using the object data.

Abstract: Virtual tools are used to manipulate aspects of a three-dimensional medical image volume. The virtual tools are registered with the image volume. Presentation of the image volume is manipulated by an image processor in response to use of the virtual tools. The virtual tools may be used to facilitate analysis of the image volume.

Abstract: A wellbore drilling system can generate a machine-learning model trained using historic drilling operation data for monitoring for a lost circulation event. Real-time data for a drilling operation can be received and the machine-learning model can be applied to the real-time data to identify a lost circulation event that is occurring. An alarm can then be outputted to indicate a lost circulation event is occurring for the drilling operation.

Abstract: Provided herein are exemplary methods for providing assessment of an injury risk, including deploying an agent into an environment, detecting a first object at a first state by the agent, taking an action to interact with the first object using reinforced learning by the agent, the action taken in order to maximize a reward, mapping the first object to a three-dimensional environment, and identifying potential risks within the three-dimensional environment. Also provided herein are exemplary systems for providing assessment of an injury risk, including an agent communicatively coupled to a sensing device, a communications network communicatively coupled to the agent, a three-dimensional model risk assessment module communicatively coupled to the communications network, a user device communicatively coupled to the three-dimensional model risk assessment module, and a system for identifying environmental risks communicatively coupled to the communications network.

Abstract: A processing system reduces latency and improves predictability of a scan out position to support graphics processing unit (GPU) front buffer rendering with a variable refresh rate (VRR) display. The GPU detects whether front buffer rendering such as inking is occurring on a frame-by-frame basis. In order to maintain a safe distance from the current scan out position and achieve low latency to improve the user experience, the GPU increases the refresh rate of the VRR display to a low-latency (high-frequency) fixed refresh rate in response to detecting front buffer rendering. In some embodiments, the GPU decreases the refresh rate in response to detecting a static screen to save power.

Abstract: A method includes receiving sensor data representing a first object in an environment and generating, based on the sensor data, a first state vector that represents physical properties of the first object. The method also includes generating, by a first machine learning model and based on the first state vector and a second state vector that represents physical properties of a second object previously observed in the environment, a metric indicating a likelihood that the first object is the same as the second object. The method further includes determining, based on the metric, to update the second state vector and updating, by a second machine learning model configured to maintain the second state vector over time and based on the first state vector, the second state vector to incorporate into the second state vector information concerning physical properties of the second object as represented in the first state vector.

Abstract: Provided are a method of performing a convolution operation between a kernel and an input feature map based on reuse of the input feature map, and a neural network apparatus using the method. The neural network apparatus generates output values of an operation between each of weights of a kernel and an input feature map, and generates an output feature map by accumulating the output values at positions in the output feature map that are set based on positions of the weights in the kernel.

Abstract: Embodiments described herein provide an integrated holographic reconstruction platform that enables a user to perform three-dimensional visualization of a phenomenon by reconstructing holograms using a combination of normalization and propagation algorithms, which yields better results with significantly less demanding processing time and computing resources. Specifically, the integrated holographic reconstruction platform may be implemented as an all-in-one computer software that includes software components of digital holographic reconstruction, de-twinning and optical distortion removal via a user-friendly graphical interface.

Abstract: A method and apparatus for performing a simulation of a physiologic change of a three-dimensional medical image, such as a CT scan or MRI scan is disclosed. A three-dimensional dataset of a portion of a body is used. Voxels within the three-dimensional dataset are modified to mimic the physiologic change of the three-dimensional medical image. Some embodiments comprise using artificial intelligence algorithm to determine the physiologic change. Simulations can be performed over multiple time points.

Abstract: In implementations of correcting dust and scratch artifacts in digital images, an artifact correction system receives a digital image that depicts a scene and includes a dust or scratch artifact. The artifact correction system generates, with a generator of a generative adversarial neural network (GAN), a feature map from the digital image that represents features of the dust or scratch artifact and features of the scene. A training system can train the generator adversarially to reduce visibility of dust and scratch artifacts in digital images against a discriminator, and train the discriminator to distinguish between reconstructed digital images generated by the generator and real-world digital images. The artifact correction system generates, from the feature map and with the generator, a reconstructed digital image that depicts the scene of the digital image and reduces visibility of the dust or scratch artifact of the digital image.

Abstract: Text and speech from a computer simulation are processed by a machine learning engine to animate the face of a computer avatar.

Abstract: The present disclosure relates to techniques for providing tangibility visualization of virtual objects within a computer-generated reality (CGR) environment, such as a CGR environment based on virtual reality and/or a CGR environment based on mixed reality. A visual feedback indicating tangibility is provided for a virtual object within a CGR environment that does not correspond to a real, tangible object in the real environment. A visual feedback indicating tangibility is not provided for a virtual representation of a real object within a CGR environment that corresponds to a real, tangible object in the real environment.

Abstract: A bucket height notification device includes a bucket height specification unit and a bucket height notification unit. The bucket height specification unit specifies a bucket height from a ground surface to a bucket of work equipment included in a work vehicle related to remote operation. The bucket height notification unit notifies of the bucket height.

Abstract: A system may include a memory and a processor cooperating therewith to obtain geospatially registered first and second interferometric synthetic aperture radar (IFSAR) images of a geographic area having respective first and second actual grazing angles with a difference therebetween, and convert the first IFSAR image to a modified first IFSAR image having a modified first grazing angle based upon known terrain elevation data for the geographic area. The modified first grazing angle may be closer to the second actual grazing angle than the first actual grazing angle. The processor may further recover updated terrain elevation data for the geographic area based upon the modified first IFSAR image and the second IFSAR image.

Abstract: The present disclosure relates to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may process at least one frame including frame content associated with a grid including a plurality of grid sections, each of a plurality of portions of the frame content being aligned with at least a portion of at least one of the plurality of grid sections. The apparatus may also shift the frame content with respect to the grid, such that at least one portion of the plurality of portions of the frame content is aligned with at least a portion of at least one distinct grid section of the plurality of grid sections. Additionally, the apparatus may store the shifted frame content including the at least one portion of the frame content that is aligned with at least a portion of the at least one distinct grid section.

Abstract: Capturing and visualizing video, including: capturing video data using a plurality of cameras; sending the captured video data to a first shader; calculating depth information at the first shader using the captured video data; generating a three-dimensional (3-D) point cloud using the depth information; and rendering a visualization image using the 3-D point cloud.

Abstract: A computerized medical diagnostic system uses a training dataset that is updated based on reports generated by a radiologist. AI and/or CAD is used to make an initial determination of no finding, finding, or diagnosis based on the training dataset. Normal results with a high confidence of no finding are not reviewed by the radiologist. Low confidence results, findings, and diagnosis are reviewed by the radiologist. The radiologist generates a report that associates terminology and weighting with marked 3D image volumes. The report is used to update the training dataset.

Abstract: Systems and methods for local augmented reality (AR) tracking of an AR object are disclosed. In one example embodiment a device captures a series of video image frames. A user input is received at the device associating a first portion of a first image of the video image frames with an AR sticker object and a target. A first target template is generated to track the target across frames of the video image frames. In some embodiments, global tracking based on a determination that the target is outside a boundary area is used. The global tracking comprises using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area. When the global tracking determines that the target is within the boundary area, local tracking is resumed along with presentation of the AR sticker object on an output display of the device.

Abstract: A graphics system and associated methods produce a continuous presentation and/or visualization from a point cloud with a distributed and disconnected set of data points that otherwise produce a discontinuous presentation and/or visualization of a scene. The graphics system receives the data points, and expands a polygonal mesh from the position of each particular data point such that each side of the polygonal mesh connects to a side of a polygonal mesh that is expanded from the position of each data point of a set of data points that neighbors the particular data point. The polygonal mesh of the particular data point spans a larger area or volume of the space than the particular data point. The graphics system produces the continuous visualization of the scene from rendering the polygonal mesh that is expanded from the position of each particular data point instead of rendering the data points.