Abstract: This disclosure describes systems, methods, and apparatus for detecting and displaying a number of rounds in a firearm magazine comprising a maximum number of N rounds. The magazine may comprise a follower, magnets on the follower, and <N magnetic switches arranged along a path of the magnets when the follower moves along a length of the magazine, the switches configured to activate based on a magnetic field exceeding a threshold, and a first antenna arranged on an inside of the magazine and parallel to a firing direction of the firearm, and configured to wirelessly transmit a round count indication to a second antenna on the firearm, the round count indication based on the round count data, the second antenna affixed to an inside of a magazine well of the firearm and mostly overlapping with the first antenna.

Abstract: Devices and methods for crimping a prosthetic heart valve onto a delivery device are described. In some embodiments, valves are crimped over an inflatable balloon and between proximal and distal shoulders mounted on a shaft inside the balloon. Crimping methods can include multiple compression steps with the valve located in different axial positions relative to the crimping jaws at each different step. In some methods, the valve may extend partially outside of the crimping jaws during certain crimping steps, such that the crimping force is only applied to the part of the valve that is inside the jaws. Exemplary crimping devices can include two or more adjacent sets of jaws that close down to different inner diameters, such that different parts of a valve get compressed to different outer diameters at the same time during a single crimping step.

Abstract: In an aspect, data characterizing a plurality of measurements of a rate of energy supplied to an igniter of a smoke unit and of a temperature of a region proximate the igniter, acquired during a predetermined period of time of igniter activation, can be received. A maximum time of igniter activation can be determined based on an average rate of energy supplied to the igniter and an average temperature of the region proximate the igniter. Whether a total length of time, during which the igniter is activated and during a subsequent period of time, exceeds the maximum time of activation can be determined, and the igniter can be deactivated in response to determining that the total length of the time exceeds the determined maximum time of activation.

Abstract: In an aspect, data characterizing an instruction for an activation of an igniter and an operating mode of a smoke generator that includes the igniter can be received. A first amount of energy required for an ignition of a fuel source by the igniter can be determined based on the operating mode characterized by the received data. The igniter can be caused to activate based on the received data. A second amount of energy, output by the igniter over a period of time during which the igniter is activated, can be determined. A determination of whether the second amount of energy exceeds the first amount of energy can be made. The igniter can be caused to deactivate in response to a determination that the second amount of energy exceeds the first amount of energy. Related systems, apparatus, techniques, and articles are also described.

Abstract: Systems and methods for combining input data and machine learning models that remain secret to each entity are described. This disclosure can allow groups of entities to compute predictions based on datasets that are larger and more detailed collectively than individually, without revealing their data to other parties. This is of particular use in artificial intelligence (AI) tasks in domains which deal with sensitive data, such as medical, financial, or cybersecurity.

Abstract: Systems and methods for combining input data and machine learning models that remain secret to each entity are described. This disclosure can allow groups of entities to compute predictions based on datasets that are larger and more detailed collectively than individually, without revealing their data to other parties. This is of particular use in artificial intelligence (AI) tasks in domains which deal with sensitive data, such as medical, financial, or cybersecurity.

Abstract: In an aspect, data representative of an electrical value is received and a target value for an inductive load based on the electrical value is accessed from memory of the controller. A target value for an inductive load can be accessed based on the electrical value. A transfer function based algorithm can be implemented for determining a set point value using the electrical value the set point value can be applied on a triode for alternating current (TRIAC). Operation of the inductive load to the target power responsive to the applying of the set point value on the TRIAC can be adjusted. The operation of the inductive load at the target power causes operation of the inductive load at the target value.

Abstract: Cooking devices, cooking systems, and smoke assemblies for use therewith are provided. In one embodiment, a cooking system is provided and includes a housing and a smoke assembly. The housing can have a lower base portion and an upper lid portion that together define a hollow cooking chamber. The smoke assembly can be coupled to the upper lid portion, and can be in fluid communication with the hollow cooking chamber. The smoke assembly can generate smoke during cooking operations in order to impart smoke flavor onto a food product disposed within the hollow cooking chamber.

Abstract: Cooking devices, cooking systems, and smoke assemblies for use therewith are provided. In one embodiment, a cooking system is provided and includes a housing and a smoke assembly. The housing can have a lower base portion and an upper lid portion that together define a hollow cooking chamber. The smoke assembly can be coupled to the upper lid portion, and can be in fluid communication with the hollow cooking chamber. The smoke assembly can generate smoke during cooking operations in order to impart smoke flavor onto a food product disposed within the hollow cooking chamber.

Abstract: In an aspect, data characterizing an instruction for an activation of an igniter and an operating mode of a smoke generator that includes the igniter can be received. A first amount of energy required for an ignition of a fuel source by the igniter can be determined based on the operating mode characterized by the received data. The igniter can be caused to activate based on the received data. A second amount of energy, output by the igniter over a period of time during which the igniter is activated, can be determined. A determination of whether the second amount of energy exceeds the first amount of energy can be made. The igniter can be caused to deactivate in response to a determination that the second amount of energy exceeds the first amount of energy. Related systems, apparatus, techniques, and articles are also described.

Abstract: Systems and methods for combining input data and machine learning models that remain secret to each entity are described. This disclosure can allow groups of entities to compute predictions based on datasets that are larger and more detailed collectively than individually, without revealing their data to other parties. This is of particular use in artificial intelligence (AI) tasks in domains which deal with sensitive data, such as medical, financial, or cybersecurity.

Abstract: Systems and methods for combining input data and machine learning models that remain secret to each entity are described. This disclosure can allow groups of entities to compute predictions based on datasets that are larger and more detailed collectively than individually, without revealing their data to other parties. This is of particular use in artificial intelligence (AI) tasks in domains which deal with sensitive data, such as medical, financial, or cybersecurity.

Abstract: Systems and methods for combining input data and machine learning models that remain secret to each entity are described. This disclosure can allow groups of entities to compute predictions based on datasets that are larger and more detailed collectively than individually, without revealing their data to other parties. This is of particular use in artificial intelligence (AI) tasks in domains which deal with sensitive data, such as medical, financial, or cybersecurity.

Abstract: Systems and methods for combining input data and machine learning models that remain secret to each entity are described. This disclosure can allow groups of entities to compute predictions based on datasets that are larger and more detailed collectively than individually, without revealing their data to other parties. This is of particular use in artificial intelligence (AI) tasks in domains which deal with sensitive data, such as medical, financial, or cybersecurity.