Abstract: A method and system comprising storing a set of user application programs each requiring an application specific subset of data to perform application processes and generate a respective genomic variant characterization for each of a plurality of patients with cancerous cells and receiving cancer treatment. The method including, obtaining clinical records data including cancer related information, generating genomic sequencing data for the patient's cancerous cells and normal cells, shaping at least a subset of the genomic sequencing data to generate system structured data. Storing the system structured data in a first database, selecting the application specific data from the first database, storing the application specific data in a second database for application program interfacing, receiving the respective genomic variant characterization from the user application program, and storing the genomic variant characterization from the user application program in a third database.

Abstract: Systems, methods and techniques for detecting, identifying and classifying objects, including multiple classes of objects, from satellite or terrestrial imagery where the objects of interest may be of low resolution. Includes techniques, systems and methods for alerting a user to changes in the detected objects, together with a user interface that permits a user to rapidly understand the data presented while providing the ability to easily and quickly obtain more granular supporting data.

Abstract: A system and method perform obtaining a request for generating a job description directed towards job candidates, performing pre-processing operations on the request to generate a prompt to a large language model engine, submitting the prompt to the large language model engine and receive a job description generated by the large language model engine, performing post-processing operations on the generated job description to generate a customized job description, and providing the customized job description to a user interface for presentation.

Abstract: A system and method for optimizing radiological workflow management and medical image review is disclosed. A preferred embodiment provides a system interoperable with various RIS and PACS systems and that provides efficient access to information, a dynamic prioritized worklist that constantly changes to address optimize distribution of studies and timely review. The novel system facilitates automated assignment, communication between physicians, technicians and radiologists regarding orders, radiographs, reports and studies. The system analyzes exam data, urgency and pendency times, among other things, to automatically determine an overall priority for each case. Cases are assigned for review in the most efficient time, resulting in optimal turnaround time and improved patient care.

Abstract: Methods and systems are provided for detecting and processing gestures, expressions (e.g., facial), tone and/or gestures of the user for the purpose of improving the quality and speed of interactions with computer-based systems. Such information may be detected by one or more sensors such as, for example, electromyography (EMG) sensors used to monitor and record electrical activity produced by muscles that are activated. Other sensor types may be used, such as optical, inertial measurement unit (IMU), or other types of bio-sensors. The system may use one or more sensors to detect speech alone or in combination with gestures, expressions (e.g., facial), tone and/or gestures of the user to provide input or control of the system.

Abstract: Embodiments are directed to surveying security environments. A subject index that includes entries may be generated based on a survey of a content system. A question a client may be matched to entries in the subject index. A prompt associated with the content system may be generated based on the entries, the data sources, or the question. Query models may be employed to obtain data associated with the question from the data sources. Other prompts may be generated based on the data from the data sources to generate candidate answers based on the question and the data from the data sources. An evaluation prompt that includes the candidate answers and the question may be generated to rank the candidate answers for correctness. Answers may be determined based on the ranking of the candidate questions such that top ranked candidate answers are provided to the client.

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: An example method comprises generating one or more requests for information by a requesting party, via a document processing engine, transmitting, by the document processing engine, the one or more requests for information by the requesting party, via a multi-channel communication system, receiving, via the document processing engine, one or more documents and corresponding metadata transmitted by the requesting party, in response to the requests for information by the decisioning party, automatically processing, via the document processing engine, one or more documents and corresponding metadata transmitted by the requesting party, automatically validating, via the document processing engine, one or more documents and corresponding metadata transmitted by the requesting party, triggering, via the multi-channel communication system, one or more journeys, wherein completion of a journey results in a communication by the multi-channel communication system, storing, via a system of record, the one or more proces

Abstract: An autonomous racking system for use with a mobile delivery vehicle includes an array of flow racks configured to receive thereon a plurality of containers each of which associated with a single customer and a plurality of pushers configured to push each one of the containers past a front end of the array. An elevator abuts the front end of the array to receive one or more containers from at least one of the array and a vehicle side access portal, and to deliver one or more containers to one or more of the plurality of flow racks from the portal. The elevator comprises a plurality of loading pushers configured to push a container off of the movable carriage and onto the array. A controller is operable communication with a plurality of pusher drives, an elevator drive motor, and one or more elevator position sensors.

Abstract: A method comprises receiving at least one of a transcript, a video recording, an audio recording, or an audiovisual recording of at least a portion of an interaction, and receiving an audiovisual score for a relevant portion of the interaction, the received audiovisual score being based on data received from at least a subset of participants in the interaction. A reaction metric is calculated based on the received audiovisual score. The at least one transcript, video recording, audio recording, or audiovisual recording is then displayed proximate to the reaction metric.

Abstract: Systems, methods, and non-transitory computer-readable media configured to obtain one or more series of successive sensor data frames during a navigation of a vehicle. Disengagement data is obtained. The disengagement data indicates whether a vehicle is in autonomous mode. A training dataset with which train a machine learning model is determined based on the one or more series of successive sensor data frames and the disengagement data. The training dataset includes a subset of the one or more series of successive sensor data frames and a subset of the disengagement data, the machine learning model being trained to identify unsafe driving conditions.

Abstract: Methods, apparatuses and methods of manufacture are described for a MEMS mirror array with reduced crosstalk. The MEMS mirror array has a plurality of reflective surfaces wherein each reflective surface has a resonant frequency, and further wherein adjacent reflective surfaces do not have the same resonant frequency.

Abstract: The present invention provides methods and systems for receiving, from a user device, user input, wherein the user input comprises a query comprising conversational language. Based on determining that the query is not stored in a database of queries sending, a quality assurance device may send a request for information associated with the query. The requested information may be received. Based on the request information and determining one or more previously input queries similar to the query, a response to the query may be generated. The quality assurance device may verify the response comprises a solution to the query. The query and the verified response may be stored in the database of queries. The user device may be sent the response. The present invention also provides for products produced by the methods of the present invention and for apparatuses used to perform the methods of the present invention.

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: A computer-implemented method of using a machine learning model to categorize a sample in digital pathology may include receiving one or more cases, each associated with digital images of a pathology specimen; identifying, using the machine learning model, a case as ready to view; receiving a selection of the case, the case comprising a plurality of parts; determining, using the machine learning model, whether the plurality of parts are suspicious or non-suspicious; receiving a selection of a part of the plurality of parts; determining whether a plurality of slides associated with the part are suspicious or non-suspicious; determining, using the machine learning model, a collection of suspicious slides, of the plurality of slides, the machine learning model having been trained by processing a plurality of training images; and annotating the collection of suspicious slides and/or generating a report based on the collection of suspicious slides.

Abstract: A system for addressing failure in an autonomous agent includes a driving subsystem, a control subsystem, a central computing subsystem, and an autonomous vehicle (AV) sensor subsystem. The system can optionally additionally include a power subsystem, a vehicle chassis subsystem, a communication subsystem, a distributed computing and/or processing subsystem, a supplementary sensor subsystem, and/or any other components. A method for addressing failure can include any or all of: detecting and responding to a failure; and operating the vehicle. Additionally or alternatively, the method 200 can include any other processes.

Abstract: A computer-implemented method includes a method comprising using at least one hardware processor to: receive a plurality of data from a plurality of data sources; standardize the plurality of data; tag the standardized plurality of data with one or more companies; train a prediction model to predict a metric for each of the one or more companies based on the standardized plurality of data tagged with that company and historical measurements for that company; and apply the prediction model to new data to predict the metric for at least one of the one or more companies.

Abstract: Disclosed is a system to obtain the data set including multiple variables. The system extracts the multiple variables from the data set. Based on the data set, the system creates an ontology indicating multiple relationships between two or more variables among the multiple variables, where a relationship among multiple relationships indicates a correlation between the two or more variables. The system obtains an intent associated with the user, and a visualization standard, where the visualization standard indicates an attribute associated with the visualization. The system generates a sequence of multiple visualizations to present to the user by ranking the multiple visualizations based on the correlation between the two or more variables, the visualization standard and the intent associated with the user. The system presents the sequence of multiple visualizations based on the ranking.

Abstract: Alert directives and focused alert directives allow a user to provide feedback to a behavioral recognition system to always or never publish an alert for certain events. Such an approach bypasses the normal publication methods of the behavioral recognition system yet does not obstruct the system's learning procedures.

Abstract: Systems and methods for implementing one or more autonomous features for autonomous and semi-autonomous control of one or more vehicles are provided. More specifically, image data may be obtained from an image acquisition device and processed utilizing one or more machine learning models to identify, track, and extract one or more features of the image utilized in decision making processes for providing steering angle and/or acceleration/deceleration input to one or more vehicle controllers. In some instances, techniques may be employed such that the autonomous and semi-autonomous control of a vehicle may change between vehicle follow and lane follow modes. In some instances, at least a portion of the machine learning model may be updated based on one or more conditions.