Microsoft opens the doors to more AI-powered Windows apps
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Microsoft opens the doors to more AI-powered Windows apps
"The way this works is silicon partners build and maintain execution providers that Windows ML distributes, manages, and registers to run AI workloads performantly on-device, serving as a hardware abstraction layer for developers and a way to get optimal performance for each specific silicon," Microsoft says in the announcement. In simple terms, the platform enables AI-infused apps to tap into PC hardware that's best suited for their specific workload, such as GPUs for power-intensive tasks, NPUs for power efficiency, and CPUs for flexibility."
"Windows ML has been in development for several years, having first been unveiled for Microsoft's Windows 10 operating system in 2018. Microsoft says that software developers, including Adobe, McAfee, and Topaz Labs are now working on adopting Windows ML in their upcoming releases after helping to test the platform during its development. The upcoming integration for Adobe's Premiere Pro and After Effects video editing software will harness local NPUs for semantic search, audio tagging, and scene edit detection features."
"Microsoft's Windows ML platform is now generally available for production use, making it easier for developers to add AI to their Windows apps. In its announcement blog, Microsoft says Windows ML is supported on all devices running Windows 11 24H2 or newer, and provides a local AI inference framework that helps to build more "responsive, private, and cost-effective" AI experiences."
Windows ML is generally available for production use on devices running Windows 11 24H2 or newer. The platform provides a local on-device AI inference framework to enable more responsive, private, and cost-effective AI experiences. Silicon partners build and maintain execution providers that Windows ML distributes, manages, and registers, creating a hardware abstraction layer to run AI workloads performantly on the optimal silicon. AI-infused apps can target GPUs for power-intensive tasks, NPUs for power efficiency, and CPUs for flexibility. Software companies including Adobe, McAfee, and Topaz Labs are adopting Windows ML for features such as semantic search, audio tagging, deepfake detection, and AI-powered image editing.
Read at The Verge
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