Menu
Qualcomm brings big brains to mobile devices with deep-learning tool

Qualcomm brings big brains to mobile devices with deep-learning tool

Qualcomm releases the Snapdragon Neural Processing Engine software development kit

Qualcomm has talked about putting "silicon brains" in mobile devices and is now providing tools to train smartphones to recognize people, objects, gestures, and even emotions.

Phones like Samsung's Galaxy S7 and LG's G5 that use Qualcomm's Snapdragon 820 chips will get deep-learning capabilities with the Snapdragon Neural Processing Engine software development kit, announced on Monday.

The SDK will include a run-time that will exploit chip features so smartphones can accomplish deep-learning tasks like tracking objects and recognizing sounds. The kit could also be used in self-driving cars and autonomous drones and robots.

Computers can already recognize people in images, as seen on Facebook. That recognition is thanks to deep-learning systems, which usually require complex neural networks, thousands of servers, and high-performance processors. Qualcomm's SDK doesn't need as many resources and is targeted at the tasks and power-consumption levels available to mobile devices.

The SDK is part of Qualcomm's Zeroth cognitive computing hardware and software platform. In 2013, the company showed a robot with a Zeroth chip and software that was able to make correct navigational decisions on a path after learning and receiving continuous input. Zeroth technology has since been used in mobile devices and is expected to be included in wearable devices, robots, and drones.

For now, the SDK is tuned only for the Snapdragon 820. The chip has digital signal processors that can be programmed to fit deep-learning models. A GPU aids in image processing, and the CPU distributes and schedules tasks.

A similar deep-learning system is already included in Movidius' thumb PC called Fathom Neural Compute Stick, which uses Google's TensorFlow machine-learning software to give vision to robots and drones.

Qualcomm's SDK could expand to industries like security, where surveillance cameras could track and identify a person committing a crime. It could also be used by health care and insurance companies, the company said.

The SDK will support the open-source Caffe deep-learning framework. It will become available in the second half of this year.


Follow Us

Join the newsletter!

Or

Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.

Events

Featured

Slideshows

Channel kicks 2021 into gear as After Hours returns to Auckland

Channel kicks 2021 into gear as After Hours returns to Auckland

After Hours made a welcome return to the channel social calendar with a bumper crowd of partners, distributors and vendors descending on The Pantry at Park Hyatt in Auckland to kick-start 2021.

Channel kicks 2021 into gear as After Hours returns to Auckland
The Kiwi channel gathers for the 2020 Reseller News Women in ICT Awards

The Kiwi channel gathers for the 2020 Reseller News Women in ICT Awards

Hundreds of leaders from the New Zealand IT industry gathered at the Hilton in Auckland on 17 November to celebrate the finest female talent in the Kiwi channel and recognise the winners of the Reseller News Women in ICT Awards (WIICTA) 2020.

The Kiwi channel gathers for the 2020 Reseller News Women in ICT Awards
Leading female front runners honoured at the 2020 Reseller News Women in ICT Awards

Leading female front runners honoured at the 2020 Reseller News Women in ICT Awards

The leading female front runners of the New Zealand ICT industry joined together for the annual Reseller News Women in ICT Awards event at the Hilton in Auckland, during which hundreds of guests celebrated 13 outstanding individuals who won awards, chosen from more than 50 finalists representing over 30 organisations.

Leading female front runners honoured at the 2020 Reseller News Women in ICT Awards
Show Comments