Abstract: Tracking of health and resilience of physical equipment and related systems are disclosed. A system includes physical equipment and one or more processors. The physical equipment includes one or more assets. The one or more processors are configured to determine a resilience metric for the physical equipment. The resilience metric includes a real power component and a reactive power component based, at least in part, on an aggregation of real components and reactive components of adaptive capacities of the one or more assets. A cyber-physical system includes physical equipment, network equipment configured to enable the physical equipment to communicate over one or more networks, a physical anomaly detection system (ADS) configured to detect anomalies in operation of the physical equipment and provide a physical component of a cyber-physical metric, and a cyber ADS configured to detect anomalies in network communications over the one or more networks.

Abstract: According to one aspect, a method includes obtaining, at an interface to a system that includes a large language model (LLM) arrangement, a first prompt, and identifying a plurality of candidate chunks of documents that substantially match the first prompt. The method also includes analyzing the plurality of candidate chunks to identify a chunk node associated with the plurality of candidate chunks, and generating a query arranged to solicit information associated with the plurality of candidate chunks. A second prompt is obtained in response to the query, and the plurality of candidate chunks is analyzed. Analyzing the plurality of candidate chunks using the second prompt includes identifying at least a first candidate chunk of the plurality of candidate chunks that is associated with the second prompt, wherein the first candidate chunk has a context. Finally, the method includes generating a response to the first prompt using the context.

Abstract: A system and method for an artificial intelligence (AI) confidentiality proxy that can protect a network from the transferal of sensitive AI data sets to outside AI systems. A data contract is established between the proxy and outside AI systems could function as well as user personas for additional protection. This system can also integrate with the network and provide security policy content and inspection rules.

Abstract: A system and method for an artificial intelligence (AI) confidentiality proxy that can protect a network from the transferal of sensitive AI data sets to outside AI systems. A data contract is established between the proxy and outside AI systems could function as well as user personas for additional protection. This system can also integrate with the network and provide security policy content and inspection rules.

Abstract: According to one aspect, a method includes obtaining, at an interface to a system that includes a large language model (LLM) arrangement, a first prompt, and identifying a plurality of candidate chunks of documents that substantially match the first prompt. The method also includes analyzing the plurality of candidate chunks to identify a chunk node associated with the plurality of candidate chunks, and generating a query arranged to solicit information associated with the plurality of candidate chunks. A second prompt is obtained in response to the query, and the plurality of candidate chunks is analyzed. Analyzing the plurality of candidate chunks using the second prompt includes identifying at least a first candidate chunk of the plurality of candidate chunks that is associated with the second prompt, wherein the first candidate chunk has a context. Finally, the method includes generating a response to the first prompt using the context.

Abstract: Disclosed herein are systems and methods for anomaly detection. A distributed physical state estimation system determines low-level state estimates covering respective sections of a cyber-physical system based on raw, high-performance measurement data. Low-level state estimates may be determined for a plurality of sections (substations) concurrently. An upper-level state estimate may be derived from the low-level state estimates. Anomalies pertaining to the system may be detected through analysis of the low-level and upper-level state estimates. The anomalies may be analyzed to determined whether the system is exhibiting behavior indicative of a fault, cyber-attack, and/or compromise.

Abstract: A method comprises: receiving a query on a topic from a user associated with user attributes indicative of a user comprehension level on the topic; providing the query to an AI model; receiving from the AI model a response to the query that has a response comprehension level on the topic that is less than the user comprehension level; iteratively adding, to the query, topically-relevant user attributes of the user attributes to produce iterative queries that increase in technical detail on the topic; providing the iterative queries to the AI model; responsive to providing the iterative queries, receiving, from the AI model, iterative responses that increase in technical detail on the topic and have response comprehension levels that increase on the topic; and determining, among the iterative responses, a final response having a response comprehension level that most nearly matches the user comprehension level.

Abstract: Techniques for utilizing invisible and/or inaudible watermarking techniques in media streams (e.g., video and/or audio streams) as a form of in-band steganography to authenticate the source capture camera and/or microphone to prevent deepfakes in network-based communication systems. User device(s) may establish cloud-based connections to a network-based communication system hosting media stream(s). An encoder of a watermarking component of a user device may receive video/audio data directly from a camera/microphone thereof and encode the video/audio data with watermark(s) representing a signed signature.

Abstract: A vehicle for obtains linear momentum without throwing the mass from the vehicle in the space, comprising of a power source 13; a rigid base 1; a motor 3A and a motor 3B fitted in the rigid basel; a shaft 4A for the motor 3A, and a shaft 4B for the motor 3B; an adjuster 6A fixed with the shaft 4A, and an adjuster 6B fixed with the shaft 4B, the adjuster 6A is the first part of a rotor blade 5A, and the adjuster 6B is the first part of a rotor blade 5B, the second part of the rotor blade 5A is a blade 7A, and the second part of the rotor blade 5B is a blade 7B; a rigid body 10 fixed to the end of the rigid base 1; a thrust structure 8A, a thrust structure 8B, a thrust structure 8C, and a thrust structure 8D fixed in the rigid body 10, at the start the thrust structures 8A and 8D give linear motion to the blades 7A and 7B, respectively, after getting the linear motion, the blades 7A and 7B are travelling; an electromagnet 6AE and an electromagnet 6BE present on the outer surface of the adjusters 6A and 6B, resp

Abstract: A flow assurance digital avatar is provided that combines the simulation of fluid flow through a network of oilfield facilities including reservoirs, wells and pipelines, detection and visualization of possible flow-related issues and risks in the network of oilfield facilities, user evaluation of possible optimizations (what-if scenarios) in the operation of the network of oilfield facilities for fixes and workovers with respect to flow-related issues and risks, and user evaluation and management of possible tasks or actions for the fixes and workovers for the flow-related issues and risks. Other aspects are described and claimed.

Abstract: Embodiments of the present disclosure relate to parallel mask rule checking on evolving mask shapes in optical proximity correction (OPC) flows for integrated circuit designs. Systems and methods are disclosed that perform mask (manufacturing) rule checks (MRC) in parallel, sharing information to maintain symmetry when violations are corrected. In an embodiment the shared information is also used to minimize changes to the geometric area of proposed mask shapes resulting from the OPC. In contrast to conventional systems, MRC is performed for multiple edges in parallel, sharing information between the different edges to encourage symmetry. In an embodiment, all edges may be adjusted in parallel to reduce mask-edge traversal bias.

Abstract: A method comprises: receiving a query on a topic from a user associated with user attributes indicative of a user comprehension level on the topic; providing the query to an AI model; receiving from the AI model a response to the query that has a response comprehension level on the topic that is less than the user comprehension level; iteratively adding, to the query, topically-relevant user attributes of the user attributes to produce iterative queries that increase in technical detail on the topic; providing the iterative queries to the AI model; responsive to providing the iterative queries, receiving, from the AI model, iterative responses that increase in technical detail on the topic and have response comprehension levels that increase on the topic; and determining, among the iterative responses, a final response having a response comprehension level that most nearly matches the user comprehension level.

Abstract: One embodiment of the present invention sets forth a technique for processing a geometric query. The technique includes determining a tree structure and a set of configurable parameters specified in the geometric query, wherein the set of configurable parameters includes one or more query primitives and one or more search routines. The technique also includes performing one or more operations that traverse the tree structure and execute the one or more search routines to match the one or more query primitives to a first set of geometric objects included in the tree structure. The technique further includes generating a response to the geometric query, wherein the response includes the first set of geometric objects.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: A system and method for an artificial intelligence (AI) confidentiality proxy that can protect a network from the transferal of sensitive AI data sets to outside AI systems. A data contract is established between the proxy and outside AI systems could function as well as user personas for additional protection. This system can also integrate with the network and provide security policy content and inspection rules.

Abstract: A computer-implemented method, computer-readable medium, and computer system that involve operations including receiving, from a computing cluster, a first request for changing a first object type specified by an approval policy resource, where the approval policy resource is a first one of a plurality of custom resources; identifying, in response to receiving the first request and using a second custom resource of the plurality, an approval process associated with the first object type; performing the approval process associated with the first object type; and sending, to the computing cluster, a first notification indicating that the request has been approved.

Abstract: The present invention relates to polysilazane compositions, in particular to a composition, the use of said composition for coating a substrate, and a substrate comprising a coating made from said composition.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: The present invention relates to polysilazane compositions, in particular to a composition, the use of said composition for coating a substrate, and a substrate comprising a coating made from said composition.

Abstract: A computer-implemented method, computer-readable medium, and computer system that involve operations including receiving, from a computing cluster, a first request for changing a first object type specified by an approval policy resource, where the approval policy resource is a first one of a plurality of custom resources; identifying, in response to receiving the first request and using a second custom resource of the plurality, an approval process associated with the first object type; performing the approval process associated with the first object type; and sending, to the computing cluster, a first notification indicating that the request has been approved.