Abstract: Aspects of the subject disclosure relate to a vehicle camera system. A device implementing the subject technology includes a first set of cameras and a processor configured to receive first data from at least one camera of a second set of cameras of an object configured to be towed by a vehicle and second data from at least one camera of the first set of cameras. The processor may determine, using a trained machine learning algorithm, a set of sub-pixel shift values that represent relative positions of images in the first data and the second data based on a position of the at least one camera of the first set of cameras. The processor may align, using the trained machine learning algorithm, the images based on the set of sub-pixel shift values, and combine the aligned images to produce a stitched image having a combined field of view.

Abstract: Aspects of the subject disclosure relate to a vehicle camera system for view creation of view locations. A device may include a processor that obtains first data and second data from different cameras of a vehicle. The first data may include an image representation of a scene in a first field of view being observed from a first perspective view and the second data may include an image representation of the scene in a second field of view being observed from the first perspective view in a second field of view. The processor may modify the first data and the second data by a perspective transformation to adjust the image representation to a second perspective view. The processor may create a stitched image representing the scene in a combined field of view observed from the second perspective view by stitching the modified first data with the modified second data.

Abstract: Aspects of the subject disclosure relate to a vehicle camera system for view creation of terrain view locations. A vehicle includes a first camera and a second camera and includes a processor configured to receive a route request to provide a route projection for the vehicle. The processor receives first data from the first camera and second data from the second camera. The processor combines the first data having a first field of view with the second data having a second field of view to create a stitched image representing a scene in a combined field of view. The processor provides overlay information mapped to pixel coordinates of the stitched image and provides, for display, a terrain view that includes the stitched image and the overlay information. The terrain view may be displayed in one of multiple selectable views based on a driving mode of the vehicle.

Abstract: In implementations of systems for generating images for human reposing, a computing device implements a reposing system to receive input data describing an input digital image depicting a person in a first pose, a first plurality of keypoints representing the first pose, and a second plurality of keypoints representing a second pose. The reposing system generates a mapping by processing the input data using a first machine learning model. The mapping indicates a plurality of first portions of the person in the second pose that are visible in the input digital image and a plurality of second portions of the person in the second pose that are invisible in the input digital image. The reposing system generates an output digital image depicting the person in the second pose by processing the mapping, the first plurality of keypoints, and the second plurality of keypoints using a second machine learning model.

Abstract: Aspects of the subject disclosure relate to a vehicle camera system. A device implementing the subject technology may include a processor configured to detect a first camera on a vehicle and a second camera on the vehicle. The processor can determine a position and a pose of at least one of the first camera or the second camera. The processor also can receive first data from the first camera and second data from the second camera. The processor can stitch the first data with the second data to generate a stitched image having a contiguous field of view based on the position and the pose of the at least one of the first camera or the second camera. Accordingly, seamless integration of cameras between a vehicle and towed objects of various geometries for surround view can be provided.

Abstract: State of the art model fairness approaches do not address the degree of local fairness of a ML model. A method and system for determining local fairness of a classification Machine Learning (ML) model with degree of fairness is disclosed. The method creates multiple perturb instances using multilevel GMM clustering approach and a constrained perturbation technique to ensure feature distribution of perturbed data, generated from a tabular base data is within the feature distribution of the tabular base data of the ML model. Further, the class of a protected attribute is flipped, black box model prediction probabilities and the cosine similarity constraint and multiplication factor on the probabilities is used to provide a degree of fairness for the local instance. Thus, provides magnitude of fairness or unfairness to the local instance.

Abstract: Embodiments include systems and methods for generative image filling based on text and a reference image. In one aspect, the system obtains an input image, a reference image, and a text prompt. Then, the system encodes the reference image to obtain an image embedding and encodes the text prompt to obtain a text embedding. Subsequently, a composite image is generated based on the input image, the image embedding, and the text embedding.

Abstract: Certain aspects of the present disclosure provide techniques for handling coordinated beamforming in wireless communications systems. An example method performed by a first access point (AP) generally includes outputting, for transmission to a second AP, at least one of a first indication that the first AP supports spatial reuse of transmission resources or a second indication that the first AP supports asymmetric coordinated beamforming (CBF); and outputting, for transmission, signaling to one or more stations (STAs) supported by the first AP without intent to form nulls directed toward other STAs supported by the second AP.

Abstract: In implementations of systems for image inversion using multiple latent spaces, a computing device implements an inversion system to generate a segment map that segments an input digital image into a first image region and a second image region and assigns the first image region to a first latent space and the second image region to a second latent space that corresponds to a layer of a convolutional neural network. An inverted latent representation of the input digital image is computed using a binary mask for the second image region. The inversion system modifies the inverted latent representation of the input digital image using an edit direction vector that corresponds to a visual feature. An output digital image is generated that depicts a reconstruction of the input digital image having the visual feature based on the modified inverted latent representation of the input digital image.

Abstract: A method for operating a three-dimensional (3D) metal object manufacturing apparatus compensates for surface deviations of overhanging features differently than for non-overhanging features. The compensation method used for the overhanging features depends on whether an edge of the overhanging feature being formed in a next layer has curved or sharp corners.

Abstract: The disclosed apparatus, systems and methods relate to a permeation enhancing transdermal patch for the administration of a therapeutic compound transdermally. A transdermal patch for the administration of a therapeutic compound to a subject that has a microneedle layer with microneedles made of naloxone and a binder, an active layer with naloxone and a carrier and an augmentation layer configured to generate local heat on the skin of the subject. The patch can omit the microneedle layer or augmentation layer.

Abstract: A concierge system sends batches of orders to pickers that they can review and accept in a batch list on a client device. Each batch in the batch list is presented with a hide option that enables the picker to hide a batch that they do not intend to accept. In response to receiving a hide signal, the system extracts features associated with the batch and stores those features with a negative indication of the picker towards the batch. The hide signal provides the system with a higher quality signal indicating the picker's negative intent regarding an order, as compared to simply ignoring the order in favor of fulfilling another order. This higher quality signal is then used to train models to better predict events related to the pickers' acceptance of orders, such as for ranking orders for pickers or for predicting fulfillment times.

Abstract: A method of operating a three-dimensional (3D) metal object manufacturing apparatus selects operational parameters for operation of the printer to form conductive metal traces on substrates with dimensions within appropriate tolerances and with sufficient conductive material to carry electrical currents without burning up or becoming too hot. The method identifies the material of the substrate and the bulk metal being melted for ejection and uses this identification data to select the operational parameters. Thus, the method can form conductive traces and circuits on a wide range of substrate materials including polymeric substrates, semiconductor materials, oxide layers on semiconductor materials, glass, and other crystalline materials.

Abstract: Methods and systems for testing of at least one computer application include receiving from a user a monitoring request; selecting a script; performing at least one automation test with at least one automation application; requesting analytic data from at least one computer application; receiving analytic data associated with the at least one computer application; determining response data of the at least one computer application by inputting the analytic data to a comparison model determined based on an analysis technique configured to detect a failure by the at least one computer application; and generating a report based on an output of the analysis technique if the failure by the at least one computer application is detected.

Abstract: An electrolyte solvent having a dielectric constant of 10 or less comprising: a) 0% to 30% by volume of one or more of components i)-iii), based on a total volume of the electrolyte solvent: i) one or more unsubstituted cyclic carbonate(s): ii) one or more unsubstituted lactone(s); and iii) one or more unsubstituted oxazolidine(s); and b) 70% to 100% by volume of one or more of components iv)-vii), based on the total volume of the electrolyte solvent: iv) one or more substituted cyclic carbonate(s) having 3-15 carbon atoms: v) one or more substituted lactone(s) having 3-15 carbon atoms; and vi) one or more substituted oxazolidine(s) having 3-15 carbon atoms; and vii) one or more acyclic carbonate(s) having 2-20 carbon atoms. A method of making a cathode and cathodes and batteries made by the methods are also disclosed.

Abstract: A nanostructure according to the present disclosure comprises a pair of nanosheet or nanowire transistors configured to conduct charge by carriers of opposite polarity (such as n and p type carriers), wherein one of the pair of transistors is provided with inner spacers and the other is not provided with inner spacers. Depending on the type of charge carrier, the omission of the inner spacers may improve the admittance of the device. This is demonstrated in an example embodiment comprising a Si-channel PMOS nanosheet transistor. Conversely, in a Si-channel NMOS nanosheet transistor, the omission of the inner spacers has a negative effect on the parasitic capacitance that outweighs some of the benefits of the inner spacer omission. An example embodiment of the present disclosure includes complementary NMOS and PMOS silicon transistors, wherein the NMOS is provided with inner spacers and the PMOS is not provided with inner spacers.

Abstract: Methods, systems, and devices for wireless communications are described. Techniques described herein provide for passive beamforming for Wi-Fi. A first wireless device communicating in an active session via a first bandwidth with a second wireless device may use a passive beamforming technique to identify a transmission sector of the second wireless device and/or a receive sector for communications on a second bandwidth, while the first wireless device is in an inactive session state for the second bandwidth. The second wireless device may transmit beacons in the second bandwidth via directional transmission sectors while the first wireless device is in the inactive session state for the second bandwidth. The first wireless device may receive the beacons and may select a transmission sector based on the beacons. The first wireless device may indicate the selected transmission sector to the second wireless device. The first wireless device may select a receive sector based on the beacons.

Abstract: Synergistic compositions for use in treatment during gynecological procedures are provided. Synergistic compositions that enable practitioners to perform gynecological procedures without pain or bleeding to patients are provided.

Abstract: Examples of managed device risk assessment are described. In one example, a copy of an application installed on a client device is decompiled, to identify operations performed during execution of the application. A profile including one or more rules that specify whether the operations are assigned higher or lower levels of risk is obtained. A first number of times that the first rule is violated by the operations is determined, and a second number of times that the second rule is violated by the operations is determined. A total of the violations is compared against a threshold, and a remedial action is initiated in response to determining that the total exceeds the threshold.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine learning models to generate modified digital images. In particular, in some embodiments, the disclosed systems generate image editing directions between textual identifiers of two visual features utilizing a language prediction machine learning model and a text encoder. In some embodiments, the disclosed systems generated an inversion of a digital image utilizing a regularized inversion model to guide forward diffusion of the digital image. In some embodiments, the disclosed systems utilize cross-attention guidance to preserve structural details of a source digital image when generating a modified digital image with a diffusion neural network.