Google Partners with Movidius to Enhance Deep Learning Capabilities in Next-Gen Android Smartphones

Google today announced a partnership with a Silicon Valley chip manufacturer Movidius Work to bring powerful machine learning image recognition technology directly to Android smartphones.

As part of the agreement, Google will deploy its advanced neural computation engine on Movidius’ ultra-low-power platform, revolutionizing the usual server-based AI computation model. This enhancement will allow complex machine learning algorithms to run on device locally without an Internet connection and little to no latency issue.

The head of Google’s machine intelligence group in Seattle, Blaise Agüera y Arcas commented said,

What Google has been able to achieve with neural networks is providing us with the building blocks for machine intelligence, laying the groundwork for the next decade of how technology will enhance the way people interact with the world. By working with Movidius, we’re able to expand this technology beyond the data center and out into the real world, giving people the benefits of machine intelligence on their personal devices.

With this collaboration, Google would be able to  get Movidius’ MA2450 chip inside Android handsets to allow them to understand images in real time, without the need to upload photos and wait for algorithms to do their magic in the cloud unlike Google Photos which already performs this task in the cloud.

Remi El-Ouazzane, CEO of Movidius had to say this on this contribution

The technological advances Google has made in machine intelligence and neural networks are astounding. The challenge in embedding this technology into consumer devices boils down to the need for extreme power efficiency, and this is where a deep synthesis between the underlying hardware architecture and the neural compute comes in. Movidius’ mission is to bring visual intelligence to devices so that they can understand the world in a more natural way. This partnership with Google will allow us to accelerate that vision in a tangible way.

The potential is huge for people with disabilities — an image-recognizing smartphone could help blind individuals more easily maneuver urban areas or converse with familiar people on the street.

As the companies continue their collaboration, more details will become available.

Basit Saeed

Passionately a software developer, Basit Saeed considers himself a person who believes in software and social media being the change agents of 21st century. He is a techy, a gadgets freak, and loves playing with code whenever he can. He tweets at @basit_saeed.

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