Windows Machine Learning* (WinML)

This high-performance, reliable API for running machine learning inferences on Windows* devices allows developers to use trained machine learning models in Windows apps that are written in C#, C++, or JavaScript*. WinML is the broad ecosystem AI solution for PCs. Hardware optimization from Intel make these applications power efficient and high performing.

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Intel® Distribution of OpenVINO™ Toolkit

The toolkit is targeted at developers who need hardware customization options and support for multiple operating systems. Accelerate development of high-performance computer vision and deep learning inference into vision applications. Enable deep learning on hardware accelerators and flexible deployment across multiple types of Intel® platforms (CPU, GPU with Intel® Processor Graphics, and VPU). This distribution includes the Intel® Deep Learning Deployment Toolkit with a model optimizer and inference engine.

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Apple* Machine Learning

The Core ML* framework from Apple* helps accelerate domain-specific machine learning capabilities, such as image analysis, object detection, and natural language processing. Core ML allows you to take advantage of Intel® processors and Intel® Processor Graphics Architecture to build and run machine learning workloads on the device. As a result, your data remains on the device, removing its dependency on network connectivity as well as security concerns.

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Core ML

Metal Performance Shaders*

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