The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design

Advances in machine learning necessitate the development of new types of computational devices, particularly in the post-Moore's Law era.

A future direction for machine learning models is toward large-scale, multi-task systems that are sparsely activated and use dynamic, example- and task-based routing.

Machine learning can be applied to assist with aspects of the circuit design process.