Apple Inc.

Michael Ryan Brennan

Bruno M Sommer

Norman Nuo Wang

Michael R Siracusa

Ross R Dexter

Anil Kumar Katti

Andrew Joseph Rachwalski

Aseem Wadhwa

Mohammad Reza Farhadi

A method may include receiving a communication from a device at an artificial intelligence controller including state information for a software application component running on the device, the state information including information corresponding to at least one potential state change available to the software application component, and metrics associated with at least one end condition, interpreting the state information using the artificial intelligence controller, and selecting an artificial intelligence algorithm from a plurality of artificial intelligence algorithms for use by the software application component based on the interpreted state information; and transmitting, to the device, an artificial intelligence algorithm communication, the artificial intelligence algorithm communication indicating the selected artificial intelligence algorithm for use in the software application component on the device.

Artificial intelligence controller that procedurally tailors itself to an application

The subject technology provides for determining that a machine learning model in a first format includes sufficient data to conform to a particular model specification in a second format, the second format corresponding to an object oriented programming language), wherein the machine learning model includes a model parameter of the machine learning model. The subject technology transforms the machine learning model into a transformed machine learning model that is compatible with the particular model specification. The subject technology generates a code interface and code for the transformed machine learning model, the code interface including code statements in the object oriented programming language, the code statements corresponding to an object representing the transformed machine learning model and the object includes an interface to update the model parameter. Further, the subject technology provides the generated code interface and the code for display in an integrated development environment (IDE), the IDE enabling modifying of the generated code interface and the code.

Integration of learning models into a software development system

This relates to a device capable of automatically determining a user's gesture and/or finger positions based on one or more properties of the user's veins and methods for operation thereof. The device can include one or more sensors (e.g., a camera) to capture one or more images of the user's hand. The device can convert the image(s) to digital representations and can correlate the digital image(s) of the veins to one or more poses. From the pose(s), the device can determine the user's hand movements, and one or more gestures and/or finger positions can be determined from the hand movements. The device can interpret the gestures and/or finger positions as one or more input commands, and the device can perform an operation based on the input command(s). Examples of the disclosure include using the user input commands in virtual reality applications.

Vein scanning device for automatic gesture and finger recognition

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San Francisco, CA, United States of America

Michael Ryan Brennan