Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital images depicting photorealistic scenes utilizing a digital image collaging neural network. For example, the disclosed systems utilize a digital image collaging neural network having a particular architecture for disentangling generation of scene layouts and pixel colors for different regions of a digital image. In some cases, the disclosed systems break down the process of generating a collage digital into generating images representing different regions such as a background and a foreground to be collaged into a final result. For example, utilizing the digital image collaging neural network, the disclosed systems determine scene layouts and pixel colors for both foreground digital images and background digital images to ultimately collage the foreground and background together into a collage digital image depicting a real-world scene.

Abstract: Provided herein are systems, methods and computer readable storage media for facilitating payments for consumer transactions and redemption of deal offerings. In providing such functionality, the system can be configured to, for example, receive payment for one or more products, determine a deal voucher's current value and cause the redemption of the deal voucher.

Abstract: An artificial intelligence-driven simulation and decision platform for reducing epistemic uncertainty in complex systems. The system integrates advanced techniques from artificial intelligence, simulation, and uncertainty quantification to generate and run scenarios, monitor progress, and adjust parameters in real-time to achieve user-defined goals. The simulation and decision platform comprises an AI system that employs natural language processing, reinforcement learning, and multi-objective optimization; a continuous and scalable simulation environment; scenario generation and guidance that provides human-readable scenario guides and contextual explanations; and an uncertainty quantification and reduction that employs entropy-based methods and Bayesian inference. The system allows users to define goals and objectives for their simulations, and the AI component generates and optimizes scenarios to achieve these goals while reducing epistemic uncertainty.

Abstract: A method implemented by a data processing system for enabling a system to pipeline or otherwise process data in conformance with specified criteria by providing a graphical user interface for selecting data to be processed, determining metadata of selected data, and, based on the metadata, automatically processing the selected data in conformance with the specified criteria.

Abstract: A method, non-transitory computer readable medium, apparatus, and system for image generation include obtaining an input image having a first resolution, where the input image includes random noise, and generating a low-resolution image based on the input image, where the low-resolution image has the first resolution. The method, non-transitory computer readable medium, apparatus, and system further include generating a high-resolution image based on the low-resolution image, where the high-resolution image has a second resolution that is greater than the first resolution.

Abstract: The application is directed to efficient and economical processes as described in more detail below for the preparation of the beta 3 agonists of the formula of I-7 and intermediate compounds that can be used for making these agonists. The present disclosure relates to a process for making beta-3 agonists and intermediates using ketoreductase (KRED) biocatalyst enzymes and methods of using the biocatalysts.

Abstract: The application is directed to efficient and economical processes as described in more detail below for the preparation of the beta 3 agonists of the formula of I-7 and intermediate compounds that can be used for making these agonists. The present disclosure relates to a process for making beta-3 agonists and intermediates using ketoreductase (KRED) biocatalyst enzymes and methods of using the biocatalysts.

Abstract: Provided are novel P-selectin inhibitors, compositions and uses thereof, and methods of making thereof.

Abstract: Various disclosed embodiments are directed to changing parameters of an input image or multidimensional representation of the input image based on a user request to change such parameters. An input image is first received. A multidimensional image that represents the input image in multiple dimensions is generated via a model. A request to change at least a first parameter to a second parameter is received via user input at a user device. Such request is a request to edit or generate the multidimensional image in some way. For instance, the request may be to change the light source position or camera position from a first set of coordinates to a second set of coordinates.

Abstract: A computing system and method to generate an avatar wearing a piece of clothing. Given a generic clothing model acquired for the avatar, the system generates a customized clothing model based on uniformly scaling the generic clothing model according to a size of the avatar, identifies one or more edges or boundaries of the clothing, deforms a clothing mesh of the scaled clothing model at the one or more edges by stretching and/or shrinking the edges, and performs a physical simulation of fitting the deformed clothing model on the avatar to generate a fitted clothing model for the avatar. User interfaces can be optionally provided to interactively adjust the scaling, deforming, and/or physical simulation of the clothing models.

Abstract: A device may operate a guide wire and be operable by a single operator digit. The device may include an insertion control device for advancing the guide wire in a forward and in a reverse direction and along a longitudinal axis of the guide wire; and a rotary device for rolling a guide wire about the longitudinal axis. A robotic instrument driver may be operatively coupled to the device and configured to control axial movement of the guide wire along the longitudinal axis according to input received from the insertion control device and to control rotational movement of the guide wire according to input received from the rotary device.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure obtain a low-resolution image and a text description of the low-resolution image. A mapping network generates a style vector representing the text description of the low-resolution image. An adaptive convolution component generates an adaptive convolution filter based on the style vector. An image generation network generates a high-resolution image corresponding to the low-resolution image based on the adaptive convolution filter.

Abstract: Systems and methods for image generation are provided. An aspect of the systems and methods includes obtaining a text prompt, generating a style vector based on the text prompt, generating an adaptive convolution filter based on the style vector, and generating an image corresponding to the text prompt based on the adaptive convolution filter.

Abstract: Electrochemical devices, and associated materials and methods, are generally described. In some embodiments, an electrochemical device comprises an electroactive material. The electroactive material may comprise an alloy having a solid phase and a liquid phase that co-exist with each other. As a result, such a composite electrode may have, in some cases, the mechanical softness to permit both high energy densities and an improved current density as compared to, for example, a substantially pure metal electrode.

Abstract: A contact force sensing device may be configured to mate with a port connector having a plurality of conductive contact structures. The contact force sensing device may include a base and a force sensor on the base. The force sensor may be configured to measure a force applied by a first conductive contact structure in the plurality of conductive contact structures using a sensor probe that contacts the first conductive contact structure when the sensor probe is inserted into the port connector. The contact force sensing device may include a mating connector surrogate structure that flanks the sensor probe and is configured to contact at least a second conductive contact structure in the plurality of conductive contact structures when the sensor probe contacts the first conductive contact structure.

Abstract: Example systems, data storage devices, testers, and methods for storage device configuration using mutual information are described. A data storage device may include channel circuit configuration settings for the encoding and decoding of data written to a non-volatile storage medium. Mutual information metrics may be calculated based on a multi-bit symbol size to compensate for inter-symbol interference and compared to mutual information thresholds to determine the configuration settings, such as bit and track densities, error correction codes, and modulation codes. Mutual information metrics may be used to characterize heads and media independent of the configuration settings.

Abstract: Example systems, data storage devices, testers, and methods for storage device configuration using symbol context mutual information are described. A data storage device may include channel circuit configuration settings for the encoding and decoding of data written to a non-volatile storage medium. The configuration settings may be determined by determining a known pattern for a sector, determining a series of symbol contexts, determining mutual information for each symbol context, and using the symbol context mutual information to determine relationships among configuration settings, such as bit size, error correction code rate, and modulation code. Once determined, the configuration settings may be used to configure the modulation code and ECC rate for the channel circuit of the data storage device.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine learning to generate a sequence of transition frames for a gap in a clipped digital video. For example, the disclosed system receives a clipped digital video that includes a pre-cut frame prior to a gap in the clipped digital video and a post-cut frame following the gap in the clipped digital video. Moreover, the disclosed system utilizes a natural motion sequence model to generates a sequence of transition keypoint maps between the pre-cut frame and the post-cut frame. Furthermore, using a generative neural network, the disclosed system generates a sequence of transition frames for the gap in the clipped digital video from the sequence of transition keypoint maps.

Abstract: A system and methods for detecting and mitigating authentication object forgery and manipulation attacks against services is provided, comprising a policy manager configured to observe a new authentication object generated by an identity provider, and retrieve the new authentication object; and a hashing engine configured to create a security cookie for each valid authentication session; wherein subsequent access requests accompanied by authentication objects are validated by checking for a valid security cookie.

Abstract: Implementations described herein are directed to enabling collaborative ranking of interpretations of spoken utterances based on data that is available to an automated assistant and third-party agent(s), respectively. The automated assistant can determine first-party interpretation(s) of a spoken utterance provided by a user, and can cause the third-party agent(s) to determine third-party interpretation(s) of the spoken utterance provided by the user. In some implementations, the automated assistant can select a given interpretation, from the first-party interpretation(s) and the third-party interpretation(s), of the spoken utterance, and can cause a given third-party agent to satisfy the spoken utterance based on the given interpretation.