Abstract: Memories having a controller configured to perform methods during programming operations including apply a first voltage level to a data line selectively connected to a selected memory cell selected, apply a lower second voltage level to a select gate connected between the data line and the memory cell, decrease the voltage level applied to the data line from the first voltage level to a third voltage level while continuing to apply the second voltage level to the select gate, increase the voltage level applied to the select gate from the second voltage level to a fourth voltage level after the voltage level of the data line settles to the third voltage level, and apply a programming voltage to the memory cell after increasing the voltage level applied to the select gate to the fourth voltage level.

Abstract: Systems and methods disclosed herein concern a motorized fitness wheel. The fitness wheel includes a wheel that rotates about an axle with two handles that extend outward from respective sides of the wheel along the rotational axis. In use, the user grasps the handles with their hands and rolls the wheel back and forth along the floor. A motor is configured to apply a torque to the wheel in either forward or backward direction to apply resistance or assistance and enhance the exercise. A position sensor feeds positional information of the motor to a microcontroller. Based on the positional information, the microcontroller dynamically controls the output torque of the motor as a function of one or more torque trajectories. The torque trajectories define the output torque of the motor over a cycle of the exercise as a function a spatial variable (e.g., wheel position) and/or time.

Abstract: A method includes receiving a pilot signal or a measurement report from a user equipment (UE) or a base station (BS). The method also includes updating a CSI buffer with channel state information (CSI) obtained from the pilot signal or the measurement report, the CSI buffer configured to store previous uplink or downlink channel estimates. The method also includes providing at least a portion of the CSI buffer to a CSI predictor comprising an artificial intelligence (AI) model that utilizes one or more weight sharing mechanisms, the AI model comprising a sequence of layers. The method also includes predicting temporal CSI using the CSI predictor. Depending on the configured output, the method can also include and/or be used for denoising and frequency extrapolation.

Abstract: Systems and methods disclosed herein concern a motorized fitness wheel. The fitness wheel includes a wheel that rotates about an axle with two handles that extend outward from respective sides of the wheel along the rotational axis. In use, the user grasps the handles with their hands and rolls the wheel back and forth along the floor. A motor is configured to apply a torque to the wheel in either forward or backward direction to apply resistance or assistance and enhance the exercise. A position sensor feeds positional information of the motor to a microcontroller. Based on the positional information, the microcontroller dynamically controls the output torque of the motor as a function of one or more torque trajectories. The torque trajectories define the output torque of the motor over a cycle of the exercise as a function a spatial variable (e.g., wheel position) and/or time.

Abstract: Systems and methods disclosed herein concern a motorized fitness wheel. The fitness wheel includes a wheel that rotates about an axle with two handles that extend outward from respective sides of the wheel along the rotational axis. In use, the user grasps the handles with their hands and rolls the wheel back and forth along the floor. A motor is configured to apply a torque to the wheel in either forward or backward direction to apply resistance or assistance and enhance the exercise. A position sensor feeds positional information of the motor to a microcontroller. Based on the positional information, the microcontroller dynamically controls the output torque of the motor as a function of one or more torque trajectories. The torque trajectories define the output torque of the motor over a cycle of the exercise as a function a spatial variable (e.g., wheel position) and/or time.

Abstract: A method facilitates touchless control of medical equipment devices in an OR. The method involves: providing a three-dimensional control menu, which comprises a plurality of menu items selectable by the practitioner by one or more gestures made in a volumetric spatial region corresponding to the menu item; displaying an interaction display unit (IDU) image corresponding to the three-dimensional control menu to provide indicia of any selected menu items; estimating a line of sight of a practitioner; and when the estimated line of sight is directed within a first spatial range around a first medical equipment device, determining that the practitioner is looking at the first medical equipment device. Then the method involves providing a first device-specific three-dimensional control menu displaying a first device-specific IDU image.

Abstract: A closed-loop power control (CLPC) system is disclosed that includes a first signal path for a first polarization and a second signal path for a second polarization. The first signal path includes a first power amplifier, a first output power detector configured to detect a first output power level of the first power amplifier, and a first processor configured to determine a first analog gain for a first controller and a first gain for a first digital-to-analog converter based on a first accumulated error between the first output power level and a target Effective Isotropically Radiated Power. A second processor is configured to set a first variable gain of a first variable gain amplifier coupled to an input of the first power amplifier. The CLPC can be configured to control the gain of the first signal path separately or as one signal path.

Abstract: An apparatus for a robotic limb includes one or more limb segments connected via one or more joints. The robotic limb may feature one or more dual-reduction quasi-quasi-direct-drive joint actuators that permit the robotic limb to move throughout a scene. The robotic limb may further include an end-effector connected to a free end of the robotic limb with one or more opposable fingers comprising a four bar linkage. The end-effector may include a main actuator that actuates the one or more fingers via the four-bar linkages to complete various tasks.

Abstract: Methods and apparatus of associating by a computerized system, labels with the order of execution of steps of solving a puzzle, game or activity, for one or more parts of one or more solution-paths for the puzzle, game or activity are described. Execution of the puzzle solution and also the particular sequence of steps in the solution paths are used to evaluate a relative efficiency of one sequence of steps over the other sequence. By quantifying efficiency of the solution path it becomes possible to logically and objectively compare the efficiency of two or more solutions or completions of the puzzle, game or activity.

Abstract: A wearable face covering may include a mask including a filter and a cap, wherein the cap is configured to prevent any gas passing through the filter in a first direction from exiting the mask in the first direction; and a face shield including a partially-transparent screen, wherein the face shield is pivotally coupled to the mask.

Abstract: A power control apparatus includes an acceleration sensor and a controller. The acceleration sensor measures vibration generated due to movement of a mobile device and outputs a vibration measurement signal. The controller is configured to detect an insertion condition of the mobile device inside a storage compartment based on the vibration measurement signal. The controller varies a power state of the mobile device upon detecting the insertion condition of the mobile device inside the storage compartment. The controller detects the insertion condition of the mobile device inside the storage compartment using a machine learning model.

Abstract: A request is received associated with reviewing content. As part of the request, one or more conditions are received and the content is analyzed to identify a first field of interest and a second field of interest. The first field of interest and the second field of interest represent fields of interest associated with the review of the content. At least one of the first field of interest or the second field of interest may not satisfy the one or more conditions and the content, or a portion thereof, may be sent for review.

Abstract: Systems and methods are described for allocating requests to implement new workloads within a dynamic set of servers. Existing load balancing techniques can result in “focus firing” on new servers added to the set, since a load balancer may view a new server as underloaded. With sufficient intensity, focus firing can result in overshooting target load for the new server, and the new server in fact becoming overloaded. The present disclosure modifies selection of servers as potential targets for a workload by at least partly biasing against selection of young servers. The bias imposed can be scaled to avoid overloading new servers.

Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.

Abstract: A turbomachine engine includes an engine core including a high-pressure compressor, a high-pressure turbine, and a combustion chamber. The engine core has a length (LCORE), and the high-pressure compressor has an exit stage diameter (DCORE). A power turbine is in flow communication with the high-pressure turbine. A low-pressure shaft is coupled to the power turbine and characterized by a midshaft rating from one hundred fifty (ft/sec)1/2 to three hundred thirty (ft/sec)1/2. The low-pressure shaft has a redline speed between fifty and two hundred fifty feet per second. The turbomachine engine is configured to operate up to the redline speed without passing through a critical speed associated with a first-order bending mode of the low-pressure shaft. A high-pressure shaft is coupled to the high-pressure compressor and the high-pressure turbine and is characterized by a high-speed shaft rating from 1.5 to 6.2, and a ratio of LCORE/DCORE is from 2.1 to 4.3.

Abstract: A method for service location optimization may include methods for deriving service location utilization data from video, predicting an operational characteristic of a service location, optimizing an operational characteristic of a service location, and presenting a user interface for user-directed optimization of an operational characteristic of a service location.

Abstract: Techniques for generating a novel image using tokenized image representations are disclosed. In some embodiments, a method of generating the novel image includes generating, via a first machine learning model, a first sequence of coded representations of a first image having one or more features; generating, via a second machine learning model, a second sequence of coded representations of a sketch image having one or more edge features associated with the one or more features; predicting, via a third machine learning model, one or more subsequent coded representations based on the first sequence of coded representations and the second sequence of coded representations; and based on the subsequent coded representations, generating, via the third machine learning model, a first portion of a reconstructed image having one or more image attributes of the first image, and a second portion of the reconstructed image associated with the one or more edge features.

Abstract: Methods, systems, and computer readable storage media for using image processing to develop a library of facial expressions. The system can receive digital video of at least one speaker, then execute image processing on the video to identify landmarks within facial features of the speaker. The system can also identify vectors based on the landmarks, then assign each vector to an expression, resulting in a plurality of speaker expressions. The system then scores the expressions based on similarity to one another, and creates subsets based on the similarity scores.

Abstract: In an aspect, a propulsor gauge is provide that provides guidance during a transition of a mode of operation of an electric aircraft. Propulsor gauge may include a processor configured to identify a current thrust envelope parameter of one or more propulsors of electric aircraft. Processor may also determine a recommended range as a function of the propulsor parameter, where the recommended range includes a lower threshold and an upper threshold. The recommended range and thrust envelope parameter may then be shown on a display of propulsor gauge, where a measurement of current thrust envelope parameter relative to recommended range may be represented by an indicator.

Abstract: Exemplary embodiments provide distributed parallel training of a machine learning model. Multiple processors may be used to train a machine learning model to reduce training time. To synchronize trained model data between the processors, data is communicated between the processors after some number of training cycles. To improve the communication efficiency, exemplary embodiments synchronize data among a set of processors after a predetermined number of training cycles, and synchronize data between one or more processors of each set of the processors after a predetermined number of training cycles. During the first synchronization among a set of processors, compressed model gradient data generated after performing the training cycles may be communicated. During the second synchronization between the set of processors, trained models or full model gradient data generated after performing the training cycles may be communicated.