Abstract: Systems and methods for predictive analysis of potential attack patterns based on contextual security information are described. In one embodiment, a method includes generating a profile for an enterprise that indicates one or more software application stacks and a network architecture for the one or more software application stacks; determining one or more vulnerabilities of the one or more software application stacks and one or more vulnerabilities of the network architecture; providing the one or more vulnerabilities of the one or more software application stacks, the one or more vulnerabilities of the network architecture, and the profile as input to a machine learning model; generating an inference by the machine learning model that indicates one or more attack paths for an attacker in the one or more software application stacks and the network architecture; and transmitting the inference to a storage location or a security software application.

Abstract: Provided is a process including: obtaining, for a plurality of entities, entity logs, wherein: the entity logs comprise events involving the entities, a first subset of the events are actions by the entities, at least some of the actions by the entities are targeted actions, and the events are labeled according to an ontology of events having a plurality of event types; training, with one or more processors, based on the entity logs, a predictive machine learning model to predict whether an entity characterized by a set of inputs to the model will engage in a targeted action in a given duration of time in the future; and storing the trained predictive machine learning model in memory.

Abstract: One or more network communications to discover one or more controllable devices on a network with which a premises automation system is associated is sent automatically. A set of one or more controllable devices on the network is determined based at least in part on a response received from said one or more network communications. An assigned name that is unique within the premises automation system is assigned automatically to each of said set of one or more controllable devices.

Abstract: A property of interest for a biopolymer is predicted using a combined model that includes a foundation model and a task-specific model. The foundation model is trained at least in part using chemical mapping data and generates embeddings from biopolymer sequences. The task-specific model takes an embedding generated by the foundation model for a sequence and generates a prediction of whether the corresponding biopolymer molecule has a target property.

Abstract: Aspects of the present disclosure relate to the use of natural language processing models in classifying objects in a hierarchical classification system. Methods, systems, and computer program products for classifying an object in a classification system are provided.

Abstract: Machine learning model optimization explainability application is provides explanations (e.g., natural language explanations) for the operations and decisions associated with an optimization model (e.g., optimization algorithm) used to solve an optimization problem. More specifically, the software application for machine learning model optimization explainability enables explainability for a query that determine how the solution was generated. The system can provide a query response (e.g., natural language explanation), and perform a variety of different actions to address any issues surfaced in the query response.

Abstract: Aspects of this disclosure are directed to enterprise systems and methods that provide machine learning and artificial intelligence (AI) driven software that generates baseline predictions and optimizations for production capacity to reduce waste and harmful byproducts. Baseline predictions can include resource baseline predictions that can help estimate (or, predict) how much lower or higher an asset's resource inputs (e.g., fuel) and/or outputs (e.g., emissions) could be in comparison to the asset's current resource inputs and/or outputs. AI generated baseline predictions can be broken down into several different levels (e.g., facility level down to the asset level) so that it is clear where the most significant opportunities for resource savings lie, and the system can perform optimizations (e.g., trigger corrective actions) to achieve those resource savings.

Abstract: A method for processing a tensor is described including obtaining a first register for a number of items in the tensor. One or more second registers for a number of items in a first and a second axis of the tensor are obtained. A stride in the first and the second axis is obtained A next item in the tensor is obtained using the stride in the first axis and a first offset register, when the first register indicates the tensor has additional items to process and the second registers indicate the next item resides in the first axis. A next item in the tensor is obtained using the stride in the first axis and the second axis, the first offset register, and a second offset register. The first register and a second register is modified. The first and the second offset registers are modified.

Abstract: A workflow presentation receives electronic object from multiple sources, such as electronic messaging systems and document management systems. The system develops a hypergraph representation of the objects in which the objects appear, individually or in clusters, as edges along various rails of the hypergraph. Each rail represents a workstream to provide a visual representation of the electronic objects that are associated with one or more workstreams of a project.

Abstract: Described herein are immersion-cooled axial flux electric motors and methods of operating thereof. An immersion-cooled axial flux electric motor comprises a rotor and an immersion-cooled stator. The rotor comprises a set of magnets and a magnet support plate extending perpendicular to the motor axis. The set of magnets is attached to the magnet support plate and distributed about on the motor axis. The immersion-cooled stator comprises a cooling-fluid inlet, a cooling-fluid outlet, a set of stator windings, and a stator-sealed space. The set of stator windings is positioned within the stator-sealed space proximate to the set of magnets such that during the operation of the motor magnetic flux between the set of stator windings and the set of magnets is aligned substantially parallel to the axis of rotation of the rotor. The cooling-fluid inlet and the cooling-fluid outlet are fluidically coupled to the stator-sealed space.

Abstract: Techniques are disclosed for analyzing and learning behavior in an acquired stream of video frames. In one embodiment, a trajectory analyzer clusters trajectories of objects depicted in video frames and builds a trajectory model including the trajectory clusters, a prior probability of assigning a trajectory to each cluster, and an intra-cluster probability distribution indicating the probability that a trajectory mapping to each cluster is least various distances away from the cluster. Given a new trajectory, a score indicating how unusual the trajectory is may be computed based on the product of the probability of the trajectory mapping to a particular cluster and the intra-cluster probability of the trajectory being a computed distance from the cluster. The distance used to match the trajectory to the cluster and determine intra-cluster probability is computed using a parallel Needleman-Wunsch algorithm, with cells in antidiagonals of a matrix and connected sub-matrices being computed in parallel.

Abstract: The present disclosure relates to selection of a first record object for association with second record objects based on connection profiles. Member entities of a second group entity that are associated with second record objects associated with processes may be identified. A second record object having a first object field-value pair identifying the second group entity may be identified. A first member entity having a respective connection score exceeding a threshold may be selected. A notification comprising an identification of the selected first member entity may be transmitted to an electronic account of a node profile.

Abstract: Embodiments provide systems and methods for supporting a medical assessment of a target digital entity. To facilitate the medical assessment, a numerical representation of a target digital entity is generated based on at least a portion of source data associated with the target digital entity, and the numerical representation of the target digital entity is compared to numerical representations of a plurality of digital entities to generate similarity values. Each of the similarity values representing a correspondence between the numerical representations of the target digital entity and the plurality of digital entities. Based on the similarity values, one or more candidate digital entities that are similar to the target digital entity are identified. In some aspects, keywords associated with the target digital entity are used to identify an article associated with a diagnosis or treatment of the target digital entity.

Abstract: Systems and methods are provided for cooling air in a vehicle. The system includes a chassis, inside an interior area of a vehicle, with one or more openings that are configured to allow air to enter the chassis to cool a heat generating component in the vehicle and an exhaust duct that directs the air away from the chassis after the air has contacted at least a portion of the heat generating component. The system includes a fan that acts to propel the air through the one or more openings and through the exhaust duct.

Abstract: Systems and methods are described for generating a three-dimensional track of a ball in a gaming environment from multiple cameras. In some examples, at least two input videos, each including frames of a ball moving in a gaming environment recorded by a camera, may be obtained, along with a camera projection matrix that maps a two-dimensional pixel space representation to a three-dimensional representation of the gaming environment. Candidate two-dimensional image locations of the ball across the plurality of frames of the at least two input videos may be identified using neural network or computer vision techniques. An optimization algorithm may be performed that uses a 3D ball physics model, the camera projection matrix and a subset of the candidate two-dimensional image locations of the ball from the at least two input videos to generate a three-dimensional track of the ball in the gaming environment.

Abstract: Provided herein is a power distribution system comprising a main power bus, sub-buses coupled to the main power bus, and a controller. The sub-buses provide power to electrical components of a vehicle. Each of the sub-buses includes an electrically programmable fuse in series with a relay. The controller is configured to detect a fault in a sub-bus of the sub-buses, determine a fault type associated with the fault, and in response to determining the fault type, generate a command to cause the relay to change a relay state.