Cognitive Business: Baidu AI Lab's Outlook Into 2017 and Beyond

Massively parallel hardware will keep getting better and this will be a big boon to deep learning, which scales very well with parallel hardware. There are a lot of thrilling software techniques that were not possible even 1 to 2 years ago that could become mainstream thanks to these advances. For example, the AI Lab has pioneered techniques that store large chunks of a neural network directly on a chip to perform computation an order of magnitude faster. This only works on the latest, largest chips -- in the future, we'll have even more options.