Menu
MIT's 168-core chip could make mobile devices, robots smarter

MIT's 168-core chip could make mobile devices, robots smarter

MIT's prototype chip is designed for deep learning

Unlike Facebook, a smartphone can't recognize and tag you in a selfie. A new brain-like chip developed by researchers at MIT could change that.

The 168-core prototype chip called Eyeriss will be able to tap into memory to instantly recognize faces, objects and even sounds. The chip is designed for use in smartphones, self-driving cars, robots, drones and other devices.

Eyeriss is among a handful of chips being developed so devices can do more things without human intervention. Qualcomm is making chips so mobile devices can learn about users and anticipate actions over time. Nvidia offers a computer for automobiles with its Tegra chip so self-driving cars can recognize signals and street signs. 

Computers can be trained to recognize images, faces and sound, as has been demonstrated by Microsoft, Facebook and Google through deep-learning systems. Deep learning is a section of machine learning in which algorithms aid in correlation and classification of data. Deep-learning systems typically require complex neural networks and vast computing resources like power-hungry GPUs and thousands of servers.

MIT says its chips would require a fraction of the resources, and is 10 times more power efficient than a mobile graphics processor. It would be possible to use the chip in wearables, smartphones and battery-operated robots.

Eyeriss will bring self-contained AI capabilities to devices with most of the processing happening locally on a device. Wi-Fi or cellular connections won't be needed to tap into cloud services or servers for image or object recognition.

Nvidia at CES demonstrated self-driving cars that culled data from servers to recognize obstructions or objects on a street. With MIT's chip, self-driving cars could have on-board image recognition capabilities, which could be useful in remote areas where cellular connections aren't available.

Each Eyeriss core has its own memory bank, which is the opposite of centralized memory for GPUs and CPUs that power today's deep-learning systems. The chip tries to reduce repetition in processing by efficiently breaking down tasks for execution among the 168 cores. The circuitry can be reconfigured for different types of neural networks, and compression helps preserve bandwidth.

The chip was demonstrated doing image recognition at the ISSCC (International Solid-State Circuits Conference) in San Francisco on Wednesday.

The researchers haven't said if the chips would reach devices. Besides Intel and Qualcomm, chip companies like Movidius are trying to bring AI capabilities to mobile devices.

Follow Us

Join the New Zealand Reseller News newsletter!

Error: Please check your email address.

Featured

Slideshows

Reseller News launches inaugural Hall of Fame lunch

Reseller News launches inaugural Hall of Fame lunch

Reseller News welcomed 2015 and 2016 inductees - Darryl Swann, Dave Rosenberg, Gary Bigwood, Keith Watson, Mike Hill and Scott Green - to the inaugural Reseller News Hall of Fame lunch, held at the French Cafe in Auckland. The inductees discussed how the channel can collectively work together to benefit New Zealand, the Kiwi skills shortage and the future of the industry. Photos by Maria Stefina.

Reseller News launches inaugural Hall of Fame lunch
Educating from the epicentre - Why distributors are the pulse checkers of the channel

Educating from the epicentre - Why distributors are the pulse checkers of the channel

​As the channel changes and industry voices deepen, the need for clarity and insight heightens. Market misconceptions talk of an “under pressure” distribution space, with competitors in that fateful “race for relevance” across New Zealand. Amidst the cliched assumptions however, distribution is once again showing its strength, as a force to be listened to, rather than questioned. Traditionally, the role was born out of a need for vendors and resellers to find one another, acting as a bridge between the testing lab and the marketplace. Yet despite new technologies and business approaches shaking the channel to its very core, distributors remain tied to the epicentre - providing the voice of reason amidst a seismic industry shift. In looking across both sides of the vendor and partner fences, the middle concept of the three-tier chain remains centrally placed to understand the metrics of two differing worlds, as the continual pulse checkers of the local channel. This exclusive Reseller News Roundtable, in association with Dicker Data and rhipe, examined the pivotal role of distribution in understanding the health of the channel, educating from the epicentre as the market transforms at a rapid rate.

Educating from the epicentre - Why distributors are the pulse checkers of the channel
Kiwi channel reunites as After Hours kicks off 2017

Kiwi channel reunites as After Hours kicks off 2017

After Hours made a welcome return to the channel social calendar last night, with a bumper crowd of distributors, vendors and resellers descending on The Jefferson in Auckland to kickstart 2017. Photos by Maria Stefina.

Kiwi channel reunites as After Hours kicks off 2017
Show Comments