AI researchers publish theory to explain how deep learning actually works - SiliconANGLE

Artificial intelligence researchers from Facebook Inc., Princeton University and the Massachusetts Institute of Technology have teamed up to publish a new manuscript that they say offers a theoretical framework describing for the first time how deep neural networks actually work. In a blog post, Facebook AI research scientist Sho Yaida noted that DNNs are one of the key ingredients of modern AI research. But for many people, including most AI researchers, they're also considered to be too complicated to understand from first principles, he said. That's a problem, because although much progress in AI has been made through experimentation and trial and error, it means researchers are ignorant of many of the key features of DNNs that make them so incredibly useful. If researchers are more aware of these key features, it would likely lead to some dramatic advances and the development of much more capable AI models, Yaida said.