Abstract: A system and method for automated cybersecurity defensive strategy analysis that predicts the evolution of new cybersecurity attack strategies and makes recommendations for cybersecurity improvements to networked systems based on a cost/benefit analysis. The system and method use machine learning algorithms to run simulated attack and defense strategies against a model of the networked system created using a directed graph. Recommendations are generated based on an analysis of the simulation results against a variety of cost/benefit indicators.

Abstract: The present invention pertains to a thrombectomy device comprising a cylindrical proximal portion, a dome-shaped distal portion, a transition portion, and a coil. The cylindrical proximal portion forms a stent frame having a first lattice network of a first plurality of interconnecting segments. The first plurality of interconnecting segments is configured to exert a first radial force against an inner wall of a blood vessel. The dome-shaped distal portion forms a protection cage having a second lattice network of a second plurality of interconnecting segments. The second plurality of interconnecting segments is configured to exert a second radial force against the inner wall of the blood vessel. The transition portion is arranged between the stent frame and the protection cage. The coil is formed at a distal end of the protection cage.

Abstract: A clock generator circuit may include a multiplex circuit and a phase-locked loop circuit. The multiplex circuit may generate a reference clock signal for the phase-locked loop circuit by selecting one of different clock signals. In response to a switch of the reference clock signal from one clock signal to another, the phase-locked loop circuit may disable phase-locking and enter into a frequency acquisition mode during which the frequency of the phase-locked loop circuit's output clock signal is adjusted based on the frequency of the newly selected reference clock signal. After a period of time has elapsed, the phase-locked loop circuit returns to phase-locking operation.

Abstract: Systems, methods, and computer-readable media for coordinating processing of data by multiple networked computing resources include monitoring data associated with a plurality of networked computing resources, and coordinating the routing of data processing segments to the networked computing resources.

Abstract: A “nanolipogel” is a delivery vehicle including one or more lipid layer surrounding a hydrogel core, which may include an absorbent such as a cyclodextrin or ion-exchange resin. Nanolipogels can be constructed so as to incorporate a variety of different chemical entities that can subsequently be released in a controlled fashion. These different incorporated chemical entities can differ dramatically with respect to size and composition. Nanolipogels have been constructed to contain co-encapsulated proteins as well as small hydrophobic drugs within the interior of the lipid bilayer. Agents incorporated within nanolipogels can be released into the milieu in a controlled fashion, for example, nanolipogels provide a means of achieving simultaneous sustained release of agents that differ widely in chemical composition and molecular weight. Additionally, nanolipogels can favorably modulate biodistribution.

Abstract: A semantic search system integrates with an AI platform to provide advanced search capabilities by leveraging automatically generated ontologies and knowledge graphs. The system employs natural language processing, machine learning, and large language models to create, update, and align ontologies from diverse data sources. It supports context-aware query interpretation, personalized results, and complex reasoning by incorporating user context, feedback, and domain knowledge. The system optimizes search performance and efficiency through indexing techniques, distributed computing, and continuous learning. With a modular architecture and scalable infrastructure, the semantic search system enables users to retrieve relevant, meaningful, and context-specific information from vast amounts of structured and unstructured data.

Abstract: The present invention relates to an article for use in a non-combustible aerosol provision system, an apparatus for manufacturing an article for use in a non-combustible aerosol provision system, and a method of manufacturing an article for use in a non-combustible aerosol provision system. The article comprises an aerosol-generating material segment (20) and a susceptor (25) located therein, wherein first and second ends (26, 27) of the susceptor are located within about 5 mm of the first and second ends of the aerosol-generating material segment, respectively. The method of manufacturing the article comprises: feeding an aerosol-generating material along a feed path; inserting a susceptor into the feed path; gathering the aerosol-generating material around a susceptor to create a rod; and cutting the rod into a segment comprising a susceptor.

Abstract: A laser is used to controllably generate and propagate cleaves to produce a cleaved surface along the {111} crystallographic plane in diamonds.

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: 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: 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: 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: 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: 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: 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 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 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.