![]() GPT-4 cheat sheet: What is GPT-4, and what is it capable of?ĬhatGPT is coming for your job. More must-read AI coverageĬhatGPT cheat sheet: Complete guide for 2023 If you’re using Microsoft Teams or similar on a Surface Pro X, it will correct your gaze so whoever you’re chatting to will see you looking at them rather than at the camera. Surface already ships hardware with NPUs, with Microsoft’s co-developed SQ1 and SQ2 processors for its ARM-based Surface Pro X hardware using a built-in NPU to add eye-tracking features to its camera. Got a Surface Pro X? Your NPU is here already. ![]() They don’t even need to be fabricated in advance, as FPGAs offer programmable silicon that can be used to build and test accelerators. They often share a lot of features with GPUs, having many relatively low precision processor cores that implement common machine learning algorithms. You can think of them much like a GPU, but for AI rather than graphics. Often called “AI accelerators,” neural processing units are dedicated hardware that handle specific machine learning tasks such as computer vision algorithms. ![]() This has required the development of a whole new generation of silicon from Intel, AMD and ARM. Microsoft has been investing a lot in machine learning, working with silicon vendors to support running AI models on your PC as fast as possible. ![]() For more info, visit our Terms of Use page. This may influence how and where their products appear on our site, but vendors cannot pay to influence the content of our reviews. ![]() We may be compensated by vendors who appear on this page through methods such as affiliate links or sponsored partnerships. Windows is getting ready to support a next generation of silicon that's going to come with AI accelerators. ![]()
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