Abstract: A drape covers robotic equipment in a medical environment to maintain sterility. The robotic equipment has an arm with an end surface which attaches to a tool, such as an active end effector. The drape has an extended drape portion that covers the arm, and a shaped drape portion that covers the end of the arm where the arm is clamped to the tool. The drape is clamped inside the clamp, and where the clamping occurs, the drape has a band of material that is reinforced by being thickened or by including a different material. The shape of the band corresponds to the portion of the arm that is clamped by the clamp.

Abstract: A system for delivering a payload nucleic acid into target cells of a subject and production of a payload (or payloads) encoded by the payload nucleic acid in the cells. The system includes a Bifidobacterium sp. bacterium comprising a plasmid and a transporter nucleic acid, the transporter nucleic acid configured for expression in the bacterium. The transporter nucleic acid encodes a transporter polypeptide comprising, in an amino-terminal to carboxy-terminal order, a bacterial secretion signal peptide, a DNA-binding domain to bind the plasmid, and a cell penetrating peptide. The transporter polypeptide complexes with the plasmid and transports the plasmid from the bacterium into the target cells. The plasmid encodes one or more payloads (protein and/or ribonucleic acid) for production in the target cells. The target cells may be colonic cells. When the payload(s) include an antigen, the system may be a DNA vaccine.

Abstract: Video and audio from a computer simulation are processed by a machine learning engine to identify candidate segments of the simulation for use in a video summary of the simulation. Text input is then used to reinforce whether a candidate segment should be included in the video summary.

Abstract: Devices, systems and methods for detecting a position of an object with a robot surgical system having an articulable, separable camera stand. The surgical robot system may include a robot having a robot base with a robot arm and an end-effector coupled to the robot arm. The end-effector, surgical instruments, the patient, other objects, or any combination thereof, may be tracked via active and/or passive tracking markers. A camera, such as an infrared camera, a bifocal camera or a stereophotogrammetric infrared camera, is mounted on a separable camera stand and is able to detect the tracking markers when in use. Using the camera, the robot determines a position of the object from the tracking markers, which may be a three-dimensional position of the object or the markers. When convenient, the camera base may be assembled into the robot base, e.g., by sliding the camera base into the robot.

Abstract: Techniques for modifying data within a virtual space are discussed herein. A communication platform may receive a request from a user profile associated with a virtual space. The request may include instruction(s) for the communication platform to perform a modifying operation on data within a virtual space. Based on receiving the request, the communication platform may identify the data on which the operation is to be performed. The communication platform may input the data to one or more machine-learning models trained to output data that is a modified version of the data input to the machine-learning model (e.g., modified data). In such cases, the modified data may be modified consistent with the requested operation. The communication platform may receive the modified data from the machine-learning model and cause the modified data to be displayed via a user interface associated with the user profile.

Abstract: A surgical robot system includes a robot having a robot base and a robot arm coupled to the robot base, and a surgical retractor. The surgical retractor includes a retractor frame, a coupler, blades, a force and/or torque sensor, and a force and/or torque feedback determination unit. The retractor frame includes arms that are translatably and/or pivotably connected to the retractor frame. The coupler releasably attaches the retractor frame to the robot arm. The blades are each coupled to and extend away from a distal end of one of the arms. The force and/or torque sensor is connected to the blades and indicates an amount of force and/or torque being applied to the blades from contact with material of a surgical site. The force and/or torque feedback determination unit determines the amount of force and/or torque being applied to the blades based on the indication.

Abstract: A method of persisting results of executing search queries across multiple data sources comprises obtaining a first data object as a result of executing a first search query against one or more data sources of a plurality of heterogeneous data sources; receiving a first request to store the first data object in a repository, a specific data source of the one or more data sources and the repository having different data models; determining that a repository data object with which the first data object resolves does not exist; generating a specific repository data object as a stub data object for the first data object, comprising: creating a unique identifier based on one or more data object properties that uniquely identify the first data object; and utilizing the unique identifier in the repository as a key or index value for the specific repository data object; storing the specific repository data object.

Abstract: Cable protector devices, assemblies, and systems. The cable protection system may include a moveable system with wheels for moving the moveable system across a floor and a cable pusher attached to each of the wheels. Each cable pusher may include a frame with a pair of deflector legs configured to be positioned in front of and behind each wheel in close proximity to the floor. The cable pusher may be magnetically secured to the wheel, and the deflector legs may magnetically connect to the frame. As the wheels spin or rotate, the frame and deflector legs remain stationary, thereby pushing obstacles out of the way.

Abstract: Methods and apparatuses related to federated search of multiple sources with conflict resolution are disclosed. A method may comprise obtaining a set of data ontologies (e.g., types, properties, and links) associated with a plurality of heterogeneous data sources; receiving a selection of a graph comprising a plurality of graph nodes connected by one or more graph edges; and transforming the graph into one or more search queries across the plurality of heterogeneous data sources. A method may comprise obtaining a first data object as a result of executing a first search query across a plurality of heterogeneous data sources; resolving, based on one or more resolution rules, at least the first data object with a repository data object; deduplicating data associated with at least the first data object and the repository data object prior to storing the deduplicated data in a repository that has a particular data model.

Abstract: Cable protector devices, assemblies, and systems. The cable protection system may include a moveable system with wheels for moving the moveable system across a floor and a cable pusher attached to each of the wheels. Each cable pusher may include a frame with a pair of deflector legs configured to be positioned in front of and behind each wheel in close proximity to the floor. The cable pusher may be magnetically secured to the wheel, and the deflector legs may magnetically connect to the frame. As the wheels spin or rotate, the frame and deflector legs remain stationary, thereby pushing obstacles out of the way.

Abstract: Aspects of the disclosed technology provide solutions for facilitating parking maneuvers performed by an autonomous vehicle (AV). In some aspects, the disclosed technology can include a method that includes steps for receiving a notification that the AV needs to be parked in a physical parking area, defining a first parking polygon and a parking pose in a virtual model that corresponds to the physical parking area, assigning the first parking polygon to the AV, and instructing the AV to navigate to the first parking polygon and assume the parking pose within the first parking polygon. Systems and machine-readable media are also provided.

Abstract: Embodiments disclosed are directed to a computing system that performs steps to automatically identify risk control features and entities in a risk control document. The computing system uses a generative machine learning (ML) model to transform a risk control document into sequences of words, classify risk control features associated with the sequences of words, and pair the sequences of words with the classified risk control features. The computing system then uses a natural language processing (NLP) model to identify syntactic characteristics of the sequences of words. Subsequently, the computing system uses a discriminative predictor system to correct the classified risk control features based on the identified syntactic characteristics, identify boundaries of the corrected classified risk control features, and pair the identified boundaries with the corrected classified risk control features.

Abstract: Embodiments of the present disclosure provide systems and methods for a pool hub. The pool hub may include a primary electrical system, a pump, a secondary electrical system that receives power from the primary electrical system; a converter; and an electrical outlet that receives power from the secondary electrical system; where the converter distributes power from the primary electrical system to the secondary electrical system. A number of sensors and/or devices associated with a pool may be powered via the secondary electrical system.

Abstract: A connection system to facilitate the mechanical coupling, and the transfer of electrical power between, trunk sections of an artificial tree is disclosed. The connection system can include a mechanical coupling system having a guiding surface and a guiding slot on a first trunk section and a guiding protrusion disposed inside a second trunk section. Insertion of the first trunk section into the second trunk section and thus contact of the guiding protrusion against the guiding surface can cause the first trunk section to rotate relative the second trunk section until a predetermined rotational alignment is reached, aligning electrical contacts of first and second electrical connectors, each of which is attached to an outer wall of a respective trunk section. The electrical contacts of the first and second electrical connectors can establish electrical communication between the first and second electrical connectors, and thus between the first and second trunk sections.

Abstract: Embodiments of the present disclosure provide a surgical robot system may include an end-effector element configured for controlled movement and positioning and tracking of surgical instruments and objects relative to an image of a patient's anatomical structure. In some embodiments the end-effector may be tracked by surgical robot system and displayed to a user. In some embodiments the end-effector element may be configured to restrict the movement of an instrument assembly in a guide tube. In some embodiments, the end-effector may contain structures to allow for magnetic coupling to a robot arm and/or wireless powering of the end-effector element. In some embodiments, tracking of a target anatomical structure and objects, both in a navigation space and an image space, may be provided by a dynamic reference base located at a position away from the target anatomical structure.

Abstract: Devices, systems and methods for detecting a position of an object with a robot surgical system having an articulable, separable camera stand. The surgical robot system may include a robot having a robot base with a robot arm and an end-effector coupled to the robot arm. The end-effector, surgical instruments, the patient, other objects, or any combination thereof, may be tracked via active and/or passive tracking markers. A camera, such as an infrared camera, a bifocal camera or a stereophotogrammetric infrared camera, is mounted on a separable camera stand and is able to detect the tracking markers when in use. Using the camera, the robot determines a position of the object from the tracking markers, which may be a three-dimensional position of the object or the markers. When convenient, the camera base may be assembled into the robot base, e.g., by sliding the camera base into the robot.

Abstract: A surgical robot system includes a robot having a robot base and a robot arm coupled to the robot base, and a surgical retractor. The surgical retractor includes a retractor frame, a coupler, blades, a force and/or torque sensor, and a force and/or torque feedback determination unit. The retractor frame includes arms that are translatably and/or pivotably connected to the retractor frame. The coupler releasably attaches the retractor frame to the robot arm. The blades are each coupled to and extend away from a distal end of one of the arms. The force and/or torque sensor is connected to the blades and indicates an amount of force and/or torque being applied to the blades from contact with material of a surgical site. The force and/or torque feedback determination unit determines the amount of force and/or torque being applied to the blades based on the indication.

Abstract: Embodiments disclosed are directed to a computing system that performs steps to automatically identify risk control features and entities in a risk control document. The computing system uses a generative machine learning (ML) model to transform a risk control document into sequences of words, classify risk control features associated with the sequences of words, and pair the sequences of words with the classified risk control features. The computing system then uses a natural language processing (NLP) model to identify syntactic characteristics of the sequences of words. Subsequently, the computing system uses a discriminative predictor system to correct the classified risk control features based on the identified syntactic characteristics, identify boundaries of the corrected classified risk control features, and pair the identified boundaries with the corrected classified risk control features.