Abstract: Described techniques relate to improved methods, systems, devices, and apparatuses that support predictive assessments of vendor risk. The described techniques provide for machine learning and modeling to produce predictive risk profiles for vendors (e.g., even without security profile data provided by the vendor). Various described techniques may also produce unique insights across an entire portfolio of third parties using instant, predictive risk assessment results. Predictive risk profiles predict how a given vendor will answer each question in a standardized assessment based on one or more parameters (e.g., firmographics), both outside-in data and inside-out data, and similar completed assessments stored on an exchange associated with the system.

Abstract: A smart-home device may include a main power rail that provides power to components of the smart-home device; an integrator coupled to the main power rail that stores energy on an energy-storage device, where the energy stored on the energy-storage device is representative of an amount an amount of power provided to the smart-home device through the main power rail during an integration cycle of the integrator; and a counter that stores a number of integration cycles performed by the integrator during a time interval, where a total amount of power provided to the smart-home device through the main power rail during the time interval is represented by: (1) the number of integration cycles performed by the integrator during the time interval; and (2) the energy stored on the energy-storage device.

Abstract: Methods, systems, apparatuses, and computer-readable storage mediums described herein are configured to transfer call context between different call center systems. For example, a first call center system that establishes a communication session between a user and an agent of the first system provides context determined during the session to a call context service. The service stores the context and provides it to other requesting call center systems. For instance, during a call transfer to an agent of a second system, the first system requests the service to provide a transfer number of the second system to which the user is to be transferred. The service determines the transfer number and provides it to the first system. The first system performs the call transfer using the number. After the transfer is complete, the second system provides a request for the context, and the service provides the context to the second system.

Abstract: An autonomous can include one or more configurable passenger seats to accommodate a plurality of different seating configurations. For instance, the one or more passenger seats can include a passenger seat defining a seating orientation. The passenger seat can be configurable in a first configuration in which the seating orientation is directed towards a forward end of the autonomous vehicle and a second configuration in which the seating orientation is directed towards a rear end of the autonomous vehicle. The passenger seat can include a seatback rotatable about a pivot point on a base of the passenger seat to switch between the first configuration and the second configuration. Alternatively, or additionally, the autonomous vehicle can include a door assembly pivotably fixed to a vehicle body of the autonomous vehicle such that a swept path of the door assembly when moving between an open position and a closed position is reduced.

Abstract: In one example embodiment, a computer-implemented method for transporting cargo using smart palettes includes determining receipt of a first cargo onto a platform of a first smart palette at a first distribution hub. The method includes generating one or more signals that control a loading of the first smart palette and the first cargo onto a trailer located at the first distribution hub. The method includes determining a coordination with one or more second smart palettes associated with the trailer to determine a first position inside the trailer for the first smart palette and the first cargo. The method includes generating one or more signals that position the first smart palette and the first cargo at the first position inside the trailer.

Abstract: Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.

Abstract: A method includes causing, by at least one processing device, organic material from at least one hopper of a set of hoppers to be provided to a mixer to create a blend, wherein each hopper of the set of hoppers is to store a respective composition of organic material, obtaining, by the at least one processing device from a sensor, sensor data indicative of an actual composition of the blend, determining, by the at least one processing device based on the sensor data, whether the actual composition of the blend satisfies a threshold condition with respect to a target composition of the blend, and in response to determining that the actual composition of the blend satisfies the threshold condition, causing, by the at least one processing device, the blend to be provided to a drying system for drying.

Abstract: This disclosure describes a system that allows a user to track performance metrics from a game controller. These performance metrics are displayed on a screen of the game controller. In addition to the game controller, the disclosed system may comprise an app, on a device external from the game controller, that is also able to display the performance metrics as they are updated.

Abstract: Systems and methods are directed to automated cleaning systems for vehicles. In one example, a vehicle is provided that includes a drive system, a passenger cabin, and a vehicle cleaning system. The vehicle cleaning system includes a vacuum unit and a robotic manipulator. The robotic manipulator includes an arm including a plurality of arm sections and a gripper unit positioned at a distal end of the arm. The robotic manipulator is connected to the vacuum unit such that the arm provides a vacuum path between the vacuum unit and the gripper unit.

Abstract: Example embodiments of the present disclosure provide an example computer-implemented method for constructing a three-dimensional semantic segmentation of a scene from two-dimensional inputs. The example method includes obtaining, by a computing system comprising one or more processors, an image set comprising one or more views of a subject scene. The example method includes generating, by the computing system and based at least in part on the image set, a scene representation describing the subject scene in three dimensions. The example method includes generating, by the computing system and using a machine-learned semantic segmentation model framework, a multidimensional field of probability distributions over semantic categories, the multidimensional field defined over the three dimensions of the subject scene. The example method includes outputting, by the computing system, classification data for at least one location in the subject scene.

Abstract: Systems disclosed herein are directed to a display stand unit for a retail environment. The display stand unit includes a base having an interior and a display stand. The display stand includes a stem that connects to and extends upwardly from the base and a receiving surface that is suspended above and spaced away from the base by the stem. The receiving surface is configured to releasably hold an electronic device above and spaced away from the base. The display stand unit further includes a security cable that extends out from the base. The security cable is configured to attach to the electronic device to movably secure the electronic device to the base. The display stand unit further includes a retractor disposed within the interior of the base and connected to the security cable. The retractor automatically retracts the security cable.

Abstract: A sensor pod system includes one or more sensor pods with a plurality of sensors configured to collect data from an environment. A sensor pod may have an effective field of view created by individual sensors with overlapping fields of view. The sensor pod system may include sensors of different types and modalities. Sensor pods of the sensor pod system may be modularly installed on a vehicle, for example, an autonomous vehicle and collect and provide data of the environment during operation of the vehicle.

Abstract: In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.

Abstract: A computer-implemented system includes an assistant interface for providing remote medical assistance to aid a patient in performing various aspects of a rehabilitation regimen for a body part comprising a joint, a bone, or a muscle group. The assistant interface is configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal is configured to control the patient interface and/or a treatment apparatus configured to be manipulated by the patient to perform the rehabilitation regimen. The patient interface and the treatment apparatus are at a patient location geographically separate from a location of the assistant interface. The telemedicine signal includes one or more of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, and/or an apparatus control signal for changing an operating parameter of the treatment apparatus.

Abstract: Techniques are discussed for modifying map elements associated with map data. Map data can include three-dimensional data (e.g., LIDAR data) representing an environment, while map elements can be associated with the map data to identify locations and semantic information associated with an environment, such as regions that correspond to driving lanes or crosswalks. A trajectory associated with the map data can be updated, such as when aligning one or more trajectories in response to a loop closure, updated calibration, etc. The transformation between a trajectory and an updated trajectory can be applied to map elements to warp the map elements so that they correspond to the updated map data, thereby providing automatic and accurate techniques for updating map elements associated with map data.

Abstract: A computer-implemented system includes a treatment apparatus manipulated by a patient while performing an exercise session and a patient interface that receives a virtual avatar. The patient interface presents the virtual avatar. The virtual avatar uses a virtual representation of the treatment apparatus to guide the patient through an exercise session. A server computing device provides the virtual avatar of the patient to the patient interface and receives a message pertaining to a trigger event. The message includes a severity level of the trigger event. The server computing device determines whether a severity level of the trigger event exceeds a threshold severity level, and responsive to determining the severity level of the trigger event exceeds the threshold severity level, replaces on the patient interface the presentation of the virtual avatar with a presentation of a multimedia feed from a computing device of the medical professional.

Abstract: A vehicle and components thereof are provided. The vehicle can include an apparatus having a shelving module, a post, and a mechanism.

Abstract: A vehicle and components thereof are provided. The vehicle can include an apparatus having a shelving module, a post, and a mechanism.

Abstract: A vehicle and components thereof are provided. The vehicle can include an apparatus having a shelving module, a post, and a mechanism.