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Daniel Ackerman, MIT News Office observes, Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.
Deep learning is everywhere. This branch of artificial intelligence
curates your social media and serves your Google search results. Soon,
deep learning could also check your vitals or set your thermostat. MIT
researchers have developed a system that could bring deep learning
neural networks to new — and much smaller — places, like the tiny
computer chips in wearable medical devices, household appliances, and
the 250 billion other objects that constitute the “internet of things”
(IoT).
Iot devices
Photo: MIT News
The system, called MCUNet, designs compact neural networks that deliver unprecedented speed and accuracy for deep learning on IoT devices, despite limited memory and processing power. The technology could facilitate the expansion of the IoT universe while saving energy and improving data security.
The research will be presented at next month’s Conference on Neural Information Processing Systems. The lead author is Ji Lin, a PhD student in Song Han’s lab in MIT’s Department of Electrical Engineering and Computer Science. Co-authors include Han and Yujun Lin of MIT, Wei-Ming Chen of MIT and National University Taiwan, and John Cohn and Chuang Gan of the MIT-IBM Watson AI Lab...
The advance “extends the frontier of deep neural network design even farther into the computational domain of small energy-efficient microcontrollers,” says Kurt Keutzer, a computer scientist at the University of California at Berkeley, who was not involved in the work. He adds that MCUNet could “bring intelligent computer-vision capabilities to even the simplest kitchen appliances, or enable more intelligent motion sensors.”
Source: MIT News
