Abstract: Systems and methods are configured to generate a set of potential responses to a prompt using one or more data models with data from at least a plurality of data domains of an enterprise information environment that includes access controls. A deterministic response is selected from the set of potential responses based on scoring of the validation data and restricting based on access controls in view of profile information associated with the prompt. These enterprise generative AI systems and methods support granular enterprise access controls, privacy, and security requirements, and provide traceable references and links to source information underlying the generative AI insights. These systems and methods enable dramatically increased utility for enterprise users to access information, analyses, and predictive analytics associated with and derived from a combination of enterprise and external information systems.

Abstract: A method for identifying and clustering worker agents for processing requests includes receiving, by a core node, from a user agent, a user request. The core node updates, for each of the plurality of worker agents, an availability status, thereby producing a plurality of availability statuses. The core node computes, for each of the plurality of worker agents, a value of a drift metric. The core node clusters the plurality of worker agents to produce a plurality of clusters of worker agents, wherein each of the plurality of clusters contains worker agents that have similar semantic capabilities. Based at least on the user request, the plurality of availability statuses, and the plurality of clusters, the core node identifies a subset of the plurality of worker agents that are both available to process the user request and that are suitable for processing the user request.

Abstract: Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to identify a region of interest of the target specimen and determine an expression level of, category of, and/or presence of a biomarker in the region of interest, the biomarker comprising at least one from among an epithelial growth factor receptor (EGFR) biomarker and/or a DNA mismatch repair (MMR) deficiency biomarker, the machine learning system having been generated by processing a plurality of training images to predict whether a region of interest is present in the target electronic image, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the determined expression level of, category of, and/or presence of the biomarker in the region of interest.

Abstract: This invention introduces a unique two-piece nozzle used to provide air to the hull bottom of a ship, reducing the drag of water friction while in motion. The unique base assembly will mount flush in the bottom portion of a hull of a ship, creating no additional drag when closed. The unique interchangeable and modular nozzle design will allow for maintenance and or development of various designs in the water, without requiring a drydock visit. A flap portion of the nozzle insert will open when air is supplied, releasing small air bubbles to a ship's hull. The flap portion of the nozzle insert may incorporate various materials and passive closing schemes to adjust the air plastron. The present invention creates and maintains an air curtain, called plastron, delivering air underneath a ship hull through an array of nozzles.

Abstract: Systems and methods are disclosed for generating a 3D avatar and object fitting recommendations using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to initiate a payment transaction for an object offered by a merchant that corresponds with the recommendation.

Abstract: A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.

Abstract: Various embodiments provide for clock signal distribution within a processor, such as a machine learning (ML) processor, using a photonic fabric.

Abstract: One embodiment of the present invention sets forth a technique for sampling from a dataset. The technique includes determining a plurality of embeddings for a plurality of data points included in the dataset. The technique also includes populating a tree structure with the plurality of embeddings by generating a first node that stores a first set of embeddings included in the plurality of embeddings and generating a first plurality of nodes as children of the first node, where each node in the first plurality of nodes stores a different subset of embeddings in the first set of embeddings. The technique further includes sampling a subset of embeddings from the plurality of embeddings via a traversal of the tree structure, and generating a sampled dataset that includes a subset of data points corresponding to the subset of embeddings.

Abstract: A method for verifying a user agent includes transmitting, by a core node, to a user agent, a predefined set of user requests. For each user request in the predefined set of user requests, the core node receives an embedding generated based on the user request, thereby receiving a plurality of embeddings based on the predefined set of user requests. The core node determines whether the plurality of generated embeddings satisfy a similarity criterion. The core node transmits, to the user agent, a task to generate a query plan and receives a query plan generated by the user agent for processing a user request identified in the task. The core node determines whether the query plan satisfies a query plan criterion, thereby producing query plan adequacy output. The core node determines whether to approve the user agent based on the similarity output and the query plan adequacy output.

Abstract: Devices, systems, and methods for autonomously queueing a plurality of folded laundry articles in a packing queue are described. A packing system includes a packing queue platform configured to receive a folded laundry article into one of a plurality of packing queue locations disposed along a length of the platform, a double ended conveyor, one or more sensors configured to detect a packing queue location, and a controller. The double ended conveyor includes a retrieving end and a depositing end. The conveyor is configured to be mounted to a one or more fixed rails for traveling along the length of the queue platform and cantilevering the depositing end over the packing queue platform for depositing the folded laundry article onto either a surface of the packing queue platform or another previously deposited folded laundry article of the plurality of folded laundry articles.

Abstract: A method for determining cognitive attributes from adjusted forecast to automatically recommend changes in adjusted forecast is provided. The method includes (i) receiving for a bias management service, action recommendation to mitigate or leverage from parameter forecast, which is a forecast of future values of a parameter associated with a factor group, tracking a modification in parameter forecast based on adjustment made by cognitive system in parameter forecast, classifying adjusted forecast as negative or positive cognitive system bias based on a deviation of the adjusted forecast from actual value to determine bias of the cognitive system, determining factors that associate with bias of the cognitive system, generating a skill score of cognitive system based on factor group of the bias management service using a machine learning engine and generating a recommendation to change a value of adjusted forecast based on cognitive attributes and skill score of cognitive system.

Abstract: A method of delivering advertising in an online environment includes determining a context of a user operating a client computer to interact with an e-commerce website, where the determined context representing an intent of the user to locate a product for purchase, defining a relation between one or more of a plurality of advertisements and the product based on at least one of a plurality of relevance types, and displaying, to the user, at least one of the advertisements having the relation to the product.

Abstract: Presented herein are systems and methods for obfuscating text data elements exchanged with deep learning architectures. A computing system may receive, from a computing device, a first input including a first plurality of data elements to be provided at least in part to a deep learning architecture. The computing system may parse the plurality of data elements of the first input to identify at least one first data element corresponding to an identifier type of a plurality of identifier types. The computing system may generate a second data element corresponding to the identifier type to replace the at least one first data element in the first input. The computing system may generate a first output from the first input by replacing the at least one first data element with the second data element. The computing system may transmit the first output for provision to a deep learning architecture.

Abstract: Systems and methods are described herein for creating a data object for each of a plurality of imported unstructured data files. Each data object may expressly include one of the unstructured data files. Preprocessing subsystems and/or machine learning algorithms and subsystems process the data to generate or otherwise identify structured insight features. The system updates each data object to expressly include the structured insight features.

Abstract: Described herein are DC-DC converters with a ratio of the power output to volume of at least 2 kW per liter or even at least 4 KW per liter. Such DC-DC converters can operate at power levels of at least 150 kW or even at least 200 kW. A DC-DC converter comprises an enclosure and a front plate sealed against the enclosure using a set of fasteners. The DC-DC converter also comprises a converter unit comprising a switching sub-module, a diode sub-module, and an inductor as well as an additional converter unit comprising an additional switching sub-module, an additional diode sub-module, and an additional inductor. The switching sub-module and the additional switching sub-module or, more generally, the converter unit and the additional converter unit are configured to operate out of phase. The inductors are immersed cooled, the switching sub-modules are conductively cooled, while the diode sub-modules are convectively cooled.

Abstract: A method comprises storing a database comprising sets of data each corresponding to a different digital document uploaded to the one or more processors and corresponding to a category tag assigned to the digital document corresponding to the set of data; receiving a natural language query; parsing the natural language query to generate one or more parsed tags; updating a second query form on the user interface with the one or more parsed tags; retrieving, using one or more generative language models, a subset of the sets of data based on each set of data of the subset corresponding to at least one assigned category tag of the one or more parsed tags; querying, using the one or more generative language models, the retrieved subset of the sets of data based on the natural language query to retrieve response data; and presenting a visual representation of the response data.

Abstract: An encryption retransmission device for providing resiliency against attacks. The encryption retransmission device includes an encryption unit, a communication unit, and a galvanic isolator. The encryption unit encrypts an egressing native packet and adds a connectionless header forms an egressing connectionless datagram, and decrypts an encrypted ingressing native packet of an ingressing connectionless datagram. The communication unit communicatively couples with the encryption unit, adds a complex header to the egressing connectionless datagram for forming an egressing packet for delivery to the first encryption retransmission device, receives an ingressing packet comprising the encrypted ingressing native packet and a complex header from the first encryption retransmission device, removes the complex header and adds a connectionless header for forming the ingressing connectionless datagram.

Abstract: Techniques are disclosed to migrate data via query co-evaluation. In various embodiments, an input data associated with a source database S and a target schema T to which the input data is to be migrated is received. A set of relational conjunctive queries from target schema T to source database S is received. Query co-evaluation is performed on the received set of relational conjunctive queries to transition data from source database S to target schema T.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for monocular underwater camera biomass estimation. In some implementations, an exemplary method includes obtaining an image of a fish captured by a monocular underwater camera; providing the image of the fish to a depth perception model; obtaining output of the depth perception model indicating a depth-enhanced image of the fish data in the image; determining a biomass value estimate of the fish based on the output; and determining an action based on one or more biomass values estimates including the biomass value estimate of the fish.

Abstract: Technical solutions are directed to creation and deployment of multi-stage test problems. A processor can provide, to a client, a first data structure for a first stage of a multi-stage test problem including a description for generation of a client solution for the first stage and a test case to evaluate the client solution. The processor can receive, from the client, a client data structure comprising the client solution including a client computer code generated at the client for the first stage. The processor can determine, by evaluating the client solution using an input value and an output value of the test case, that the output of the client solution satisfies a validity condition of the output value. The processor can provide, to the client, based on satisfying the validity condition, a second data structures for a second stage of the multi-stage test problem.