Abstract: An artificial intelligence engine for directed hypothesis generation and ranking uses multiple heterogeneous knowledge graphs integrating disease-specific multi-omic data specific to a patient or cohort of patients. The engine also uses a knowledge graph representation of ‘what the world knows’ in the relevant bio-medical subspace. The engine applies a hypothesis generation module, a semantic search analysis component to allow fast acquiring and construction of cohorts, as well as aggregating, summarizing, visualizing and returning ranked multi-omic alterations in terms of clinical actionability and degree of surprise for individual samples and cohorts. The engine also applies a moderator module that ranks and filters hypotheses, where the most promising hypothesis can be presented to domain experts (e.g., physicians, oncologists, pathologists, radiologists and researchers) for feedback.

Abstract: A method for controlling a plurality of autonomous robots for performing environment maintenance operations includes: generating a setup command that indicates a selected location, a plurality of selected robots, an available time slot, and a distribution mode signal that indicates whether the selected robots are to be controlled based on the available time slot or an inputted priority section; and generating a plurality of sub-routes based on different parameters, depending on the distribution mode signal. The sub-routes are generated to be connected into an unbroken trail. Then, the sub-routes are transmitted to the selected robots, respectively, so as to control each of the selected robots to move along the respective one of the sub-routes.

Abstract: One embodiment of the present invention sets forth a technique for curating a data sample set. The technique includes determining one or more data sampling criteria based on a sampling objective for a data sample set associated with the machine learning model. The technique also includes selecting, from a set of unlabeled data samples, at least one data sample to be labeled and added to a data sample set associated with the machine learning model based on the one or more data sampling criteria. The technique also includes, for each selected data sample, supplementing the data sample set with the selected data sample and at least one association with a label.

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 includes identifying an image captured by an image capture device set at a first angle about an axis, the image corresponding to a time at which the image was captured, identifying within the image, a region of interest including an object to be used for calibration, determining, an image coordinate at which the object is displayed within the image, determining a camera angle corresponding to a position of the image capture system relative to the axis when the image was captured, identifying a bearing of the object relative to the reference direction, the bearing of the object determined using a geolocation of the image capture system and the time at which the image was captured, and determining, using the image coordinate, the camera angle, and the bearing of the object, an angular offset between the first angle and the reference direction to determine a second angle.

Abstract: An apparatus on a vehicle comprises one or more sensors, one or more nozzles that output fluid to clean the respective one or more sensors, and a compressor that generates fluid such as compressed air. The compressor is in fluid communication with the one or more nozzles. The apparatus further comprises one or more processors, and a memory storing instructions that, when executed by the one or more processors, cause the system to determine information of an acoustic emission from the compressor and to counteract the acoustic emission based on the determined information.

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: 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 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: Systems and methods for executing queries on tensor datasets are disclosed. A system can identify a query for a multi-dimensional sample dataset. Each sample of the multi-dimensional sample dataset can include one or more tensors. Each tensor of the one or more tensors can be associated with a respective identifier that is common to each sample of the multi-dimensional sample dataset. The query specifying a first identifier of a first tensor of the multi-dimensional sample dataset and a first range of a first dimension of the first tensor, or one or more operations such as sampling, grouping, ungrouping, or transformation operations, to perform on the first tensor of the multi-dimensional sample dataset. The system can parse the query, and execute the query to generate query results. The system can provide the query results as output.

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

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: 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: 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.

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.