Abstract: Geo-localization is the process by which an entity, such as an autonomous vehicle, can determine its precise location. In an example, a vehicle may include sensors, such as 4D radar sensors, that can capture a point cloud representing an environment within which the vehicle is positioned. An efficient representation of the point cloud is generated, which may be preceded by filtering the point cloud by removing points associated with transient elements. The efficient representation may be based on applying dimensionality reduction techniques to the point cloud or the filtered point cloud. The efficient representation may be compared with previously-generated representations which include geo-location, and were generated by the same dimensionality reduction techniques. Based on determining a match, the geo-location associated with the matched previously-generated representation may be assigned as a current geo-location of the vehicle.

Abstract: A robotic device for operation in association with an appendage of a user, wherein the appendage of the user has an endpoint, the robotic device comprising: a base; and a robotic arm attached to the base and having an end-point, the robotic arm having at least two active degrees of freedom relative to the base and being configured so that when the base is appropriately positioned relative to a user, the reference frame of the robotic device is oriented generally similarly to the reference frame of the user and motions of the endpoint of the appendage of the user are mimicked by motions of the endpoint of the robotic arm.

Abstract: Systems, devices and methods provide, implement, and use vision-based methods of sequence inference for a device affixed to a vehicle.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a base station, an indication that a cell associated with the base station does not support reduced capability UEs, wherein the UE is capable of operating in a first mode that is associated with reduced capability UEs and a second mode that is not associated with reduced capability UEs. The UE may communicate, in the second mode, with the base station to establish a connection with the cell based at least in part on at least one of: the UE supporting one or more capabilities associated with connecting with the cell, or no cells that support reduced capability UEs being available. Numerous other aspects are described.

Abstract: A patient interface has a single loop head strap and a mask for covering at least the nostrils of the user. The single loop head strap extends from the mask at either end. A short length of supple conduit is coupled to the mask by a swivel or ball joint to allow rotation of the conduit relative to the mask through different angles and orientations.

Abstract: An apparatus can include transceiver circuitry to generate at least one sensing transmit beam. The apparatus can include a processor coupled to the transceiver circuitry to determine an interference field of view (FoV) of the at least one sensing transmit beam and receive a time or frequency resource allocation for subsequent transmissions based on the interference FoV information.

Abstract: Variant CH3 domain polypeptides are provided that preferentially form CH3-CH3 heterodimers over CH3-CH3 homodimers. Such variant CH3 domains can be used to promote desired Fc pairing, thus providing for efficient development of bispecific and multispecific antibodies as well as Fc fusions of different formats. Methods of producing bispecific antibodies using such variant CH3 domains and for producing libraries containing such variant CH3 domains are also provided.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: discovering semantic operations within a table based dataset, wherein the discovering semantic operations within the table based dataset includes examining of logging data, wherein the logging data specifies atomical physical changes that have been applied to the table based dataset responsively to receipt of change specifying input data from one or more user.

Abstract: Various embodiments include methods that may be performed by a DRAM controller of a computing device for reducing power consumption in restore operations after a memory access. The method may control the memory charge restoration of a memory, by determining a time position within a refresh window of a read operation of at least one memory cell of the memory, charging the at least one memory cell to a first voltage that is based on the time position of the read operation within the refresh window; and re-charging the at least one memory cell to a full voltage upon termination of the refresh window, such that the first voltage is less than the full voltage in a first portion of the refresh window.

Abstract: One example device includes a wireless field driver comprising a first antenna coil and an electrical current source electrically coupled to the first antenna coil; an electromagnetic field (“EMF”) sensor comprising a second antenna coil, wherein the EMF sensor is configured to generate a sensor signal indicative of a signal strength from the first antenna coil; a non-transitory computer-readable medium; and a processor in communication with the non-transitory computer-readable medium, the processor configured to execute processor-executable instructions stored in the non-transitory computer-readable medium to: cause the electrical current source to output a current to the first antenna coil to generate a first EMF; estimate the signal strength of the first EMF based on the sensor signal; and adjust the current to the first antenna coil based on an estimated signal strength of the first EMF to maintain a power characteristic and generate a second EMF at the first antenna coil.

Abstract: A system or method trains and implements a machine learning model for object detection. A first computing device remote to a vehicle trains a machine learning model by receiving a decoded set of previously encoded training image data and training the machine learning model to detect objects within images based on the decoded set of training image data. A processor of a second computing device encodes at least one image captured by a camera, decodes the encoded image, and executes the machine learning model to extract a set of objects from the decoded image.

Abstract: This disclosure describes techniques for operating multiple communication protocols on a single channel. In embodiments, such techniques may involve determining multiple communication activities to be performed using a wireless transceiver, retrieving priority information associated with the multiple communication activities to be performed, and determining, based on the priority information, a priority level for individual communication activities of the multiple communication activities. Once such a priority level has been determined, the techniques may further involve identifying a prioritized communication activity of the multiple communication activities having the highest priority level and establishing a wireless communication session between the electronic device and a station associated with the prioritized communication activity using a communication protocol associated with the prioritized communication activity.

Abstract: A uterine manipulator includes a housing configured to be coupled to an instrument drive unit of a robotic system, a shaft extending distally from the housing, a tip hub pivotably coupled to a distal end portion of the shaft, an articulation disposed within the housing, and a handle operably coupled to either the housing or the shaft. The articulation assembly is configured to pivot the tip hub relative to the shaft and includes a drive cable operably coupled to the tip hub. The articulation assembly is actuatable manually by a user and robotically by the robotic system to pivot the tip hub relative to the shaft. The handle is configured to be manually gripped by a user for manual use of the uterine manipulator.

Abstract: The present invention provides a method for generating a bone fixation implant and related preoperative planning. The method comprises a first step of determining at least the orientation and the position of the fixation means, based on a 3D model of the bone fragments. The method may include a second step of defining the shape of one or more bone plates, based on the output of the first step. The method may further include a third step determining tools for applying fixation means during surgery, according the optimized configuration defined in the first step and applying the bone plates from the second step. The method may even further include a fourth step, quantifying construct stability for a given patient following surgery, thereby allowing early weightbearing.

Abstract: A computerized method for establishing a secure channel between a virtual private network (VPN) client processing on a network device for a user and a network gateway is disclosed. The computerized method includes operations of the controller of transmitting an authentication request to an identity provider based on receipt of a resource request from the VPN client, receiving an authentication response from the identity provider, generating an authentication token based on the authentication response and transmitting the authentication token to the VPN client, wherein the controller further stores the authentication token.

Abstract: The present disclosure provides a system and a method for controlling an operation of a manipulation system.

Abstract: A controller for controlling an operation of a robot to execute a task is provided. The controller comprises a memory configured to store a set of dynamic movement primitives (DMPs) associated with the task. The set of DMPs comprise a set of at least two dynamical systems: a function representing point attractor dynamics and a forcing function corresponding to a learned demonstration of the task. The controller comprises a processor configured to transform the set of DMPs to a set of constrained DMPs (CDMPs) by determining a perturbation function associated with the forcing function. The perturbation function is associated with a set of operational constraints. The processor is further configured to solve, a non-linear optimization problem for the set of CDMPs based on the set of operational constraints and generate, a control input for controlling the robot for executing the task, based on the solution.

Abstract: Systems and methods include obtaining log data for a plurality of users of an enterprise where the log data relates to usage of a plurality of applications by the plurality of users; determining i) app-segments that are groupings of application of the plurality of applications and ii) user-groups that are groupings of users of the plurality of users; and providing access policy of the plurality of applications based on the user-groups and the app-segments. The steps can further include monitoring the access policy over time based on ongoing log data, manual verification of the access policy, and incidents where users are prevented from accessing any application; and adjusting the determined based on the monitoring.

Abstract: A power architecture that uses an efficient intermediate power conversion stage between AC adaptor (and battery charger) and subsequent voltage regulators (VRs) (e.g., core VR) for processors for higher overall efficiency allowing for higher performance in a given thermal envelope and iso-system input power. Power losses from both the charger and the core VR are reduced by splitting the power as power to sustained high-power rails, and power to the rest of the platform power rails that have low residency in high-power states. The sustained high-power rails are placed under an intermediate power conversion topology which is directly powered by the adaptor. The rest of the rails along with charging of the battery are powered by the battery charger.

Abstract: A system and method of using a tool assembly is provided. The system includes a body, a first camera and a second camera fixed to the body, and a controller. The controller is configured to receive data indicative of images of a reference feature from the first camera, determine data indicative of a first spatial position of the first camera based at least in part on the received data indicative of the images of the reference feature, and determine data indicative of a second spatial position of the second camera based on the first spatial position, a known spatial relationship between the first location and the second location, or both. Further, the controller may be configured to receive data indicative of images of a target feature using the second camera, derive dimensions of the target feature based on the images, and generate a three-dimensional representation of the target feature.