At the moment, artificial intelligence lives in the cloud, but Google — and other big tech companies — want it work directly on your devices, too. At Google I/O today, the search giant announced a new initiative to help its AI make this leap down to earth: a mobile-optimized version of its machine learning framework named TensorFlowLite. The original TensorFlow was released in November 2015, and quickly became popular with both researchers and developers as a way to build AI tools. TensorFlow is flexible, reliable, and comes with a big stack of documentation that makes it easy for beginners to get started. The newly announced version, TensorFlowLite, will build on this, helping users slim down their machine learning algorithms to work on-device. “It’s a library for apps, designed to be fast and small, but still enabling state-of-the-art techniques,” said Google’s Dave Burke. “We think these new capabilities will help power the next generation of on-device speech processing, visual search, augmented reality, and more.” The company also announced that an API for making machine learning work better with phone chips would be coming sometime in the future — a clear sign that Google thinks your next phone will have an AI-optimized… Read full this story
- Google, democracy and the truth about internet search
- Microsoft Highlights Azure Management, Office Improvements, and More at Ignite
- The Best Help Desk Software for 2019
Google’s new machine learning framework is going to put more AI on your phone have 225 words, post on www.theverge.com at May 17, 2017. This is cached page on SEO. If you want remove this page, please contact us.