Abstract: The present disclosure addresses the problem of UAVs pursuing a swarm of target UAVs. The target UAVs are flying together as a flock that are initially modeled as a circle having a time-varying radius or an arbitrarily-shaped swarm that may change in size. Guidance of the pursuing UAVs is developed based on a collision cone framework, wherein the pursuing UAVs cooperatively steer the velocity vector of any point in their convex hull, to intercept the target. Also, the problem of capturing a swarm of intruder UAVs using a net manipulated by a team of defense UAVs is disclosed. The intruder UAV swarm may be stationary, in motion, and even maneuver. Collision cones in 3-dimensional space are used to determine the strategy used by the net carrying UAVs to maneuver or manipulate the net in space in order to capture the intruders.

Abstract: In various examples, an image processing pipeline may toggle between IR and RGB imaging modes in response to different thresholds of detected light intensity that depend on the toggling direction (e.g., a lower intensity threshold to switch from RGB to IR imaging and a higher intensity threshold to switch from IR to RGB imaging). For example, the image processing pipeline may switch from RGB to IR imaging in response to detecting an amount of light intensity (e.g., average intensity in a green channel) below a first threshold, and the image processing pipeline may switch from IR to RGB imaging in response to: (i) detecting an amount of light intensity (e.g., average intensity in a green channel) that exceeds a second threshold, and/or (ii) detecting a ratio of detected light intensities (e.g., IR to green) below a third threshold.

Abstract: In various examples, an image processing pipeline may switch between different operating or switching modes based on speed of ego-motion and/or the active gear (e.g., park vs. drive) of a vehicle or other ego-machine in which an RGB/IR camera is being used. For example, a first operating or switching mode that toggles between IR and RGB imaging modes at a fixed frame rate or interval may be used when the vehicle is in motion, in a particular gear (e.g., drive), and/or traveling above a threshold speed. In another example, a second operating or switching mode that toggles between IR and RGB imaging modes based on detected light intensity may be used when the vehicle is in stationary, in park (or out of gear), and/or traveling below a threshold speed.

Abstract: A system and a method to enhance the continuity of care for a patient is disclosed. The method disclosed herein includes accessing the patient's data available in one or more formats, where the patient's data includes a pre-stored data, a real-time generated data or a combination thereof. The patient's data is then processed using machine learning techniques and language learning model by extracting relevant information from the patient's data. Further, the one or more patient-specific assignment recommendations are generated in correspondence to the processed patient's data, where the assignment recommendations are designed to address a condition management in the patient.

Abstract: A method of compression includes compressing a captured image from a first bit-depth at which it was captured to a second bit-depth that is less than the first bit-depth. The compression comprises applying, according to a power curve, a first compression amount to a first region of the captured image having a first pixel value; and applying, according to the power curve, a second compression amount to a second part of the captured image having a higher second pixel value, wherein the first compression amount is lower than the second compression amount.

Abstract: Apparatus for generating electro-anatomical mapping and methods used therein include a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to receive input data, generate, using at least a machine learning model, an electro-anatomical mapping as a function of the input data, and display the electro-anatomical mapping using a user interface, wherein receiving the input data includes receiving, from an imaging device, at least a medical image and receiving, from a signal capturing device, at least an electrogram, wherein the at least a machine learning model is trained using electro-anatomical mapping training data including exemplary medical images and exemplary electrograms as input correlated to exemplary electro-anatomical mappings as output.

Abstract: Described herein are systems and methods for responding to user input using an agent orchestrator. A system may include a cardiac catheter, a user interface, and a computing device configured to receive, from the user interface, a first user input, receive, from the catheter, the procedure data, determine, using an agent orchestrator, a first agent selection datum, wherein determining the first agent selection datum includes generating the first agent selection datum as a function of the first user input using a trained agent selection machine learning model, using a first agent corresponding to the first agent selection datum, determine a first agent output, wherein determining the first agent output includes inputting into the first agent the procedure data, and receiving, as an output from the first agent, the first agent output, and display, using the user interface, the first agent output.

Abstract: Various systems, methods, and devices are described for AI platform that may utilize a machine learning model configured to generate one or more overlays associated with a received input. In an example, systems and methods of generating one or more overlays may include receiving a media item and an input. The input may be natural language text or audio associated with a user. The machine learning model may be used to determine context associated with the input. Based on determining the context of the input, the machine learning model may generate one or more overlays. The user may select from the one or more overlays, indicating one or more overlays to user in conjunction to the media item. A combined media may be provided to the user where the selected overlays may be superimposed on the media item.

Abstract: A system and method for automatically generating a medical session report is disclosed. The system receives patient's data and processes it using machine learning techniques and language learning models by extracting relevant information from the patient's data. The one or session note is automatically generated based patient's data, processed patient's data, and the one or more pre-stored information. The generated one or more session notes are compiled to automatically generate a medical session report of the patient. Further, the medical session report is communicated with one or more remote users including insurance companies, parents and/or a Clinician.

Abstract: A method for making a chitosan product from yeast cells is disclosed herein. Yeast cells are cultured to form a biomass of yeast cells. The yeast cells are induced to undergo meiosis causing the yeast cells to form asci containing ascospores wherein each ascospore contains a chitosan protective layer in the ascospore wall. Chitosan is extracted from the ascospores, purified to form purified chitosan, and precipitated and dried to form a chitosan product.

Abstract: There is a need for more effective and efficient predictive data analysis solutions and/or more effective and efficient solutions for generating an emotional sentiment score without the use of labelled data. In one example, embodiments comprise receiving an input text sequence, generating an intermediate emotional sentiment score object based at least in part on the input text sequence and by utilizing an emotional sentiment machine learning model, generating an overall emotional sentiment score based at least in part on the intermediate sentiment score object and by utilizing an emotional sentiment score transformation object, and performing one or more prediction-based actions based at least in part on the overall emotional sentiment score.

Abstract: A number of frames may be transferred in one frame period to a display panel followed by at least one frame period during which no frame is transferred. During this link idle time, the display panel continues to work on the transferred frames. However, the link and/or graphics processor may be powered down during this time to reduce power consumption.

Abstract: Systems and methods for predicting and preventing social engineering scams in real time are disclosed. According to one embodiment, a method for predicting social engineering scams in real time may include: (1) receiving, at a computer program executed by a user electronic device for a user, a communication; (2) extracting, by the computer program and using a machine learning engine, a pattern from the communication; (3) comparing, by the computer program, the pattern to scam patterns in a local scam database; (4) and generating, by the computer program, an alert in response to the pattern matching one of the scam patterns.

Abstract: Apparatuses, systems, and techniques for white balancing an image are presented. In at least one embodiment, a chromaticity-based weighting function is determined based at least on an estimated scene brightness of the image and applied to exclude or minimize the impact of large colored portions or objects within an image when estimating an illuminant color.

Abstract: A scene modeling system accesses a set of input two-dimensional (2D) images of a three-dimensional (3D) environment, wherein the input 2D images captured from a plurality of camera orientations. The environment includes first content. The scene modeling system applies a scene generation model to the set of input 2D images to generate a 3D remix scene. Applying the scene generation model includes configuring the scene generation model using at least a 2D discriminator and a 3D discriminator. Applying the scene generation model includes transmitting, for display via a user interface, the 3D remix scene. The 3D remix scene includes second content that is different from the first content.

Abstract: Methods and systems to remotely operate robotic devices are provided. A number of embodiments allow users to remotely operate robotic devices using generalized consumer devices (e.g., cell phones). Additional embodiments provide for a platform to allow communication between consumer devices and the robotic devices. Further embodiments allow for training robotic devices to operate autonomously by training the robotic device with machine learning algorithms using data collected from scalable methods of controlling robotic devices.

Abstract: A method for state-of-health monitoring of a powertrain component in an electric vehicle system includes: determining an equivalent circuit model of the powertrain component; modeling heat losses in the powertrain component considering both transient and steady-state conditions; modeling heat flow through the powertrain component based on one or more material properties of the powertrain component; determining a temperature of a particular structure within the powertrain component; and determining, using a Rainflow algorithm, a number of temperature cycles until failure of the particular structure based on the temperature of the particular structure.

Abstract: Devices, systems, and methods are directed to coated powder for three dimensional additive manufacturing. The powder may include a first material coated with a second material, with the coating advantageously resisting segregation of the first material and the second material during handling processes associated with fabrication. The reduced segregation of the first material and the second material may facilitate forming finished three-dimensional parts with improved homogeneity of microstructures and, thus, improved physicochemical properties. More generally, the reduced segregation of the first material and the second material achievable through coating the first material with the second material may facilitate binder jet fabrication using a wider array of combinations of first material and second material as compared to binder jet fabrication using mixtures of constituent powders of the first material and the second material.

Abstract: A method and systems are disclosed for data sampling using locality sensitive hashing. Training data set comprising a plurality of data points is received. Each data point of the plurality of data points is assigned to a hash bucket of a set of hash buckets associated with a set of hash functions. A sample set of data points is generated by sampling data points from each bucket of the set of hash buckets. Each sample data point pair comprises a pair of data points from the sample set of data points. An artificial intelligence (AI) model to output a numerical value that produces a degree of similarity between an input pair of data points is trained using the plurality of sample data point pairs. A data structure representing relationships between data points of the plurality of data points is generated using the trained AI model and the training data set.

Abstract: Systems and techniques are described for performing foveated sensing. In some aspects, a method (e.g., implemented by an image sensor) can include capturing sensor data for a frame associated with a scene, obtaining information corresponding to a region of interest (ROI) associated with the scene, generating a first portion (having a first resolution) of the frame corresponding to the ROI, generating a second portion of the frame having a second resolution, and outputting (e.g., to an image signal processor (ISP)) the first portion and the second portion. In some aspects, a method (e.g., implemented by an ISP) can receive, from an image sensor, sensor data for a frame associated with a scene, generating a first version (having a first resolution) of the frame based on an ROI associated with the scene, and generating a second version of the frame having a second resolution (lower than the first resolution).