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ANDROID ADVISOR<br />
FeAtURe<br />
“TensorFlow Lite will leverage a new neural<br />
network API to tap into silicon-specific accelerators,<br />
and over time we expect to see [digital signal<br />
processing chips] specifically designed for neural<br />
network inference and training,” said Dave Burke,<br />
Google’s vice president of engineering for <strong>Android</strong>.<br />
“We think these new capabilities will help power a<br />
next generation of on-device speech processing,<br />
visual search, augmented reality, and more.”<br />
The Lite framework will be made a part of the<br />
open source TensorFlow project soon, and the<br />
neural network API will come to the next major<br />
release of <strong>Android</strong> later this year.<br />
The framework has serious implications for what<br />
Google sees as the future of mobile hardware.<br />
AI-focused chips could make it possible for<br />
smartphones to handle more advanced machine<br />
learning computations without consuming as much<br />
82 ANDROID ADVISOR • ISSUE <strong>39</strong>
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