ARM Wants to Bring Machine Learning to Next-Gen Edge Devices with New Chips

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ARM Holdings announced today Project Trillium consisting of a new suite of ARM IP designed from the offset to bring machine learning to edge devices. The new ARM IP suite will include scalable processors designed to deliver enhanced neural network and machine learning functionality with a focus on the mobile market, according to ARM, which also revealed the fact that they'll enable a new class of machine learning-equipped devices that feature advanced computing capabilities. "The rapid acceleration of artificial intelligence into edge devices is placing increased requirements for innovation to address compute while maintaining a power efficient footprint. To meet this demand, Arm is announcing its new ML platform, Project Trillium," said Rene Haas, president, IP Products Group, Arm. The company said that the high-performance AI and machine learning capabilities, as well as the advanced scalability and flexibility of its new processors developed as part of Project Trillium are required by new devices and will open the door to the development of more advanced smart devices.

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