Chip designer ARM is unveiling two new categories of processors designed to bring machine learning to low-power devices without the need to phone into a cloud server.

The new ARM ML processor is a new type of chip designed for on-device machine learning, while the ARM OD processor is designer specifically for one type of machine learning: object detection.

They’re both part of a larger initiative called Project Trillium that includes hardware and software to bring AI features to devices with ARM chips including smartphone, smart speakers, security cameras, self-driving cars, and data centers.

ARM is describing Project Trillium as “a new suite of ARM IP” or intellectual property, because it’s not just about new chips: there are already devices with ARM-based chips that use machine learning including security cameras and other Internet of Things gadgets. ARM says device makers can continue to use ARM Cortex-M chips or other low-power processors.

But the new hardware seems pretty intriguing.

The company says its new ARM ML processor can handle 4.6 trillion operations per second while using less than 2 watts, while the new ARM Object Detection processor can process full HD video at 60 frames per second detecting individual objects as small as 50×60 pixels.

It’ll be a little while before you start to see devices with those new chips: ARM will start making the new designs available in mid-2018 and we could start to see hardware in late 2018 or early 2019.

But chip makers haven’t necessarily been waiting on ARM to start adding AI and machine learning capabilities to their own ARM-based designs. Companies including Apple, Qualcomm, Huawei, Imagination, and Rockhip have all introduced processors with dedicated AI/neural networking features in the past year.

via ARM (1),(2)

 

 



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