Abstract: Various aspects of techniques, systems, and use cases include provide instructions for operating an autonomous mobile robot (AMR). A technique may include capturing audio or video data using a sensor of the AMR, performing a classification of the audio or video data using a trained classifier, and identifying a coordinate of an environmental map corresponding to a location of the audio or video data. The technique may include updating the environmental map to include the classification as metadata corresponding to the coordinate. The technique may include communicating the updated environmental map to an edge device.

Abstract: A system can receive a request, and identify an attribute-based access control policy comprising a permission policy and a condition policy that is associated with performing an operation with respect to a group of computing resources with a first scope of the operation. The system can determine whether the account satisfies the permission policy for the operation, wherein determining whether the account satisfies the condition policy evaluates to true based on account attributes of the account and resource attributes of the group of computing resources in the first scope of the query operation. The system can, in response to determining that the account satisfies the condition policy, send an indication of the request as constrained by the first scope and a second scope that is based on the condition policy to a service, the service performing the operation to produce a result, and responding to the request with the result.

Abstract: A system and a method for creating an optimal test suite. The system may receive code coverage data from a set of testing channels. Further, a combined dataset is created by merging the code coverage data received from the set of testing channels. The combined dataset is analyzed to identify a line of code being executed by two or more test cases corresponding to two or more testing channels of the set of testing channels. Further, at least one test case from the two or more test cases having less efficiency is eliminated to create an optimal test suite. The efficiency is determined based on at least one of execution time, execution cost, and resources required to execute the line of code.

Abstract: A computerized-method for trading a scheduled-working-shift, is provided herein. The computerized-method includes operating a trading-shifts module.

Abstract: The disclosed technology addresses the need in the art for a data loss prevention policy that is adapted to new and evolving uses of artificial intelligence tools, such as generative large language models. The present technology can use techniques such as word embeddings, or classifications using artificial intelligence tools to identify leakage of sensitive information in the context of generative large language models. The present technology can also identify and track the use of content created by artificial intelligence tools for uses within an organization.

Abstract: Embodiments of the disclosure provide for searching a graph database configurable via an extensible object model. Such embodiments enable streaming results data in response to receiving a structured search criteria data object. Some embodiments receive a request comprising a structured search criteria data object at an application programming interface (API) endpoint, wherein the structured search criteria data object is not directly consumable to query the graph database, convert the structured search criteria data object into at least one query statement, wherein the structured search criteria data object is converted using data query translation library code, and fetch a results data stream from the graph database by causing execution of the at least one query statement.

Abstract: A method for selection of a marker in an augmented reality (AR) environment is provided. The method includes capturing a scene in the augmented reality environment; extracting a set of region of interest from the scene captured; identifying a text in the region of interest or from a document associated to the region of interest; determining a set of phrase-action pairs from the text; generating a representation of a set of region of interest and a representation of a set of phrase-action pairs; calculating inter model similarity using the set of region of interest and the set of phrase-action pairs in common embedding space; computing intra model similarity by comparing the extracted ROI with a generated ROI and the extracted phrase-action with generated phrase actions; and selecting a phrase-action-ROI tuple having the highest intra modal similarity as the marker.

Abstract: A system for electronic identification of one or more biomarkers associated with a pathology. The system includes a processor configured to receive an expression data and utilize a predefined degenerative model to generate a Transcription Factor (TF)-target interaction information based on the received expression data. The processor is configured to execute the predefined degenerative model to generate a Gene Regulatory Network (GRN) based on the TF-target interaction information and construct a hierarchical network defining hierarchical relationships among two or more nodes and one or more edges of the GRN. The processor is configured to prioritize a set of TFs and a set of targets using a Protein-Protein Interaction (PPI) network and construct a modified GRN. The system efficiently and reliably identifies the one or more biomarkers associated with the pathology by use of a combination of the GRN, the hierarchical network and the PPI network.

Abstract: A method for facilitating identification of duplicate data from substantially similar datasets is disclosed. The method includes receiving transaction data from a source, the transaction data including a transaction record that relates to substantially similar electronic fund transfers; marking the transaction record based on a first criterion; retrieving, based on a result of the marking, information that correspond to the transaction record, the information relating to historical data for a predetermined period of time; tagging the transaction record based on a second criterion and the retrieved information; and determining whether the transaction record is marked and tagged.

Abstract: A system for retrieving information from an instructional document, includes a processor configured to: receive a query from a user; compare the query with one or more text sections in the instructional document; obtain, from the one or more text sections, top x text sections relevant to the query using a pre-trained encoder; compare the query with one or more images in the instructional document; obtain, from the images, top y images relevant to the query; generate top y image-text sections based on the top y images; obtain top k sections from the top x text sections and the top y image-text sections; obtain one or more most relevant sections from the top k sections using a domain-specific pre-trained encoder and a sequential classification model; and generate an answer based on the one or more most relevant sections and device context information using the domain-specific pre-trained encoder.

Abstract: A system and a method for automatically testing software builds. The system includes testing a first software build using a test package. The test package includes at least a test strategy, a test case, a test model, an automation test script, a crowdsource script, and a manual test script. Further, baseline data is generated based upon a successful execution of the test package on the first software build. Further, a second software build is tested using the test package. Subsequently, the target data is generated based upon an execution of the test package on the second software build. The system then identifies a change in the second software build by comparing the target data with the baseline data. Further, a modification is recommended to the test package for the second software build using Artificial Intelligence (AI) techniques and Natural Language Processing (NLP).

Abstract: The invention relates to a proton flow reactor for use in storing and releasing energy. In use, a slurry of storage particles in a liquid electrolyte may pass through a first half cell of the proton flow reactor. When the proton flow reactor is in charge mode, protons are bonded or otherwise attracted to the storage particles to form charged storage particles charged with hydrogen, which can hen be stored and/or transported for later use. When the proton flow reactor is in discharge mode, protons are removed from the charged storage particles to fuel an electrochemical reaction, thereby generating electricity. Alternatively, the proton flow reactor in discharge mode can be configured to generate hydrogen gas directly from the in-flowing charged carbon particles.

Abstract: In some embodiments, the present disclosure relates to a non-transitory computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, that include obtaining an imaging data set having one or more digitized images from one or more patients with glioblastoma (GBM). A machine learning pipeline is utilized to generate a prognosis using one or more machine learning features that describe a morphology of the one or more digitized images. Utilizing the machine learning pipeline includes utilizing a first machine learning stage to segment the one or more digitized images to identify one or more cellular tumor (CT) regions; and utilizing a second machine learning stage to generate one or more machine learning features that describe a morphology of the one or more CT regions and to further determine the prognosis from one or more machine learning features.

Abstract: A system, method, and computer-readable medium are disclosed for performing an entity behavior cataloging operation. The entity behavior cataloging operation includes: identifying a plurality of security related activities, the plurality of security related activities being based upon observables from an electronic data source; analyzing the plurality of security related activities, the analyzing identifying a set of entity behaviors associated with the plurality of security related activities; and, performing a security operation via a security system, the security operation accessing entity behavior catalog data stored within an entity behavior catalog based upon the set of entity behaviors associated with the plurality of security related activities, the entity behavior catalog providing an inventory of entity behaviors for use when performing the security operation.

Abstract: A method for selection of a marker in an augmented reality (AR) environment is provided. The method includes capturing a scene in the augmented reality environment; extracting a set of region of interest from the scene captured; identifying a text in the region of interest or from a document associated to the region of interest; determining a set of phrase-action pairs from the text; generating a representation of a set of region of interest and a representation of a set of phrase-action pairs; calculating inter model similarity using the set of region of interest and the set of phrase-action pairs in common embedding space; computing intra model similarity by comparing the extracted ROI with a generated ROI and the extracted phrase-action with generated phrase actions; and selecting a phrase-action-ROI tuple having the highest intra modal similarity as the marker.

Abstract: One or more enrollment messages may be received via a communication message. The enrollment messages may include identification information associated with a designated person, health status information indicating the presence or absence of one or more medical symptoms associated with the designated person, and contact information identifying one or more individuals with which the designated person has recently come into physical proximity. A visual representation of a contact tracing graph may be generated for presentation on a user interface.

Abstract: Federated learning accelerators and related methods are disclosed. An example edge device includes neural network trainer circuitry to train a neural network to generate a model update for a machine learning model using local data; a federated learning accelerator to perform one or more federated learning workloads associated with the training; and model update provider circuitry to transmit the model update to an aggregator device.

Abstract: A computerized-method for managing staffing-variances in a contact-center is provided herein.