Abstract: A surgical system comprising a processing device configured to implement a trained machine learning model, the processing device being configured to: receive first data having a first data format from a sensing device; receive additional data indicating a condition of the surgical system; in dependence on the additional data, input the first data or data derived therefrom to the trained machine learning model; and output second data having a second data format.

Abstract: In one embodiment, a method for authenticating a computer system is provided. The method includes: receiving, by a processor, device identifier information associated with the computer system; generating, by the processor, a device identifier and an enrollment token based on the device identifier information; communicating, by the processor, the device identifier and the enrollment token to the computer system; receiving, by the processor, key data in response to the communicating; and performing, by the processor, authentication of the computer system based on the key data.

Abstract: Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

Abstract: Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.

Abstract: A method includes controlling a gloss channel of a color measurement apparatus to measure a surface gloss of a color sample to generate a gloss value for the color sample. A color channel of the color measurement apparatus is controlled to measure a reflectance spectrum of the color sample to generate a first plurality of reflectance values for the color sample under a first measurement geometry. The first plurality of reflectance values are converted to a second plurality of reflectance values representing the reflectance spectrum of the color sample under a second measurement geometry, different from the first measurement geometry. The converting utilizes an adjustment that is a function of the gloss value.

Abstract: An imaging device has a developer roll to provide toner to a photoconductive drum to develop a latent image on the drum for direct transfer to media or an intermediate transfer member. A power supply in communication with a controller sets relative voltages on the developer roll and drum. During transfer of the toner, the imaging device determines a current between the developer roll and drum. In turn, the controller determines a charge and mass of the toner for setting with the power supply an operating voltage on the drum or developer roll. Preventing and reporting toners with insufficient charge are other embodiments.

Abstract: Various systems and methods that enhance an exercise activity performed by a user are described. In some embodiments, a rowing machine is described. The rowing machine can enhance the user experience of a user performing a rowing activity using the rowing machine, such as during a rowing-based exercise class. For example, the rowing machine can include different sensors that capture information associated with a position or movement of a seat of the rowing machine relative to a position or movement of a handle of the rowing machine and utilize the captured information to perform actions associated with the user performing the rowing activity.

Abstract: Systems, methods and apparatus for automatic alarm management in a radio-frequency (RF) environment are disclosed. An apparatus calculates a power distribution by frequency of the RF environment in real time or near real time, including a first derivative and a second derivative of FFT data of the RF environment. The apparatus then creates a baseline based on the power distribution by frequency of the RF environment in a period of time, identifies at least one alarm situation based on a multiplicity of alarm triggering conditions by comparing the power distribution in real time or near real time to the baseline of the RF environment, identifies at least one signal based on the first derivative and the second derivative of FFT data in the at least one alarm situation, and sends at least one alarm comprising details of the at least one signal identified in the at least one alarm situation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a neural network by estimating the objective function curvature based on current and previous gradients. In one aspect, a method comprises: sampling a batch of training data; and for each neural network parameter: determining, based on the current batch of training data, a respective current gradient of the objective function at the current iteration with respect to the current neural network parameter; estimating an objective function curvature with respect to the current neural network parameter based on (i) the current gradient of the objective function at the current iteration, and (ii) a respective previous gradient of the objective function at each of a plurality of previous iterations; and updating a current value of the neural network parameter based on the estimate of the curvature of the objective function.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designing a protein by jointly generating an amino acid sequence and a structure of the protein. In one aspect, a method comprises: generating data defining the amino acid sequence and the structure of the protein using a protein design neural network, comprising, for a plurality of positions in the amino acid sequence: receiving the current representation of the protein as of the current position: processing the current representation of the protein using the protein design neural network to generate design data for the current position that comprises: (i) data identifying an amino acid at the current position, and (ii) a set of structure parameters for the current position; and updating the current representation of the protein using the design data for the current position.

Abstract: Disclosed are methods, devices, apparatuses, and systems for an under-display ultrasonic fingerprint sensor. A display device may include a platen, a display underlying the platen, and an ultrasonic fingerprint sensor underlying the display, where the ultrasonic fingerprint sensor is configured to transmit and receive ultrasonic waves via an acoustic path through the platen and the display. A light-blocking layer and/or an electrical shielding layer may be provided between the ultrasonic fingerprint sensor and the display, where the light-blocking layer and/or the electrical shielding layer are in the acoustic path. A mechanical stress isolation layer may be provided between the ultrasonic fingerprint sensor and the display, where the mechanical stress isolation layer is in the acoustic path.

Abstract: Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.

Abstract: The present invention is directed to intermediates and an efficient process for preparing nirmatrelvir (compound of Formula I) and intermediates useful in the preparation of nirmatrelvir.

Abstract: Apparatuses, systems, and methods comprising acoustically absorptive air ducts comprising an internally positioned structure component as an endoskeleton and an air impervious inner layer, and an acoustically absorptive foam outer layer, environmental control systems comprising such air ducts, and vehicles incorporating such environmental control systems are disclosed with methods for manufacture and installations are disclosed.

Abstract: Embodiments of the disclosure are drawn to apparatuses, systems, and methods for radar object classification. A radar classification system may include a number of endpoint units and a base station. Each endpoint unit includes a camera and a radar. The camera may image a scene and the image may be used to establish spatial zones within the scene. The radar may collect point cloud data from one or more objects in the scene. A classifier may determine an identity of the object based on the point cloud data. The base station may collect information such as the identity and location of objects in the scene and relate this information to the spatial zones. For example, objects may be identified as a vehicle, pedestrian, or cycle, and related to zones such as roadway, sidewalk, and crosswalk for the purpose of traffic control.

Abstract: Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.

Abstract: Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

Abstract: A grip force controller controls grip force of an instrument in a surgical robotic system. The surgical robotic system includes a robot with a base and an arm extending from the base to a drive assembly. The instrument has an end effector including a plurality of jaws. The drive assembly transfers drive to the plurality of jaws. The grip force controller is configured to control movement of the jaws according to a demanded spread between the jaws; determine an occurrence of a gripping event as the jaws are driven relative to each other in the closing direction so as to apply a grip force between the jaws; determine a demanded spread between the jaws on determining the occurrence of the gripping event; set the determined demanded spread as a minimum spread limit for the jaws; and control movement of the jaws using the minimum spread limit.

Abstract: Systems, methods and apparatus for spectrum data management for a radio frequency (RF) environment are disclosed. An apparatus comprises at least one receiver, an automatic signal detection (ASD) module, and a learning and conflict detection engine. The apparatus is at the edge of a communication network. The at least one receiver processes RF energy received from the RF environment, thereby generating processed data. The ASD module is configured to extract meta data and detect anomaly based on the processed data. The learning and conflict detection engine is configured for conflict recognition and anomaly identification based on the processed data. The apparatus is operable to generate at least one report for the RF environment.

Abstract: A new and distinct cultivar of Primula plant named ‘KERBELROSA’ is described, characterized by abundant, fully-double rose-colored flowers with a silver rim. Plants have compact, uniform habits. The new variety is a Primula, normally used as an ornamental garden or landscape plant.