Session 13 overview: Machine learning and signal processing: Digital architectures and systems subcommittee

Abstract

Architectures supporting machine learning for embedded perception and cognition are continuing their rapid evolution, inspired by modern data analytics and enabled by the low energy cost of CMOS processing. This makes it feasible to migrate data analytics toward edge and wearable devices. To further support increased requirements for multiuser connectivity and sparse data, multiuser MIMO and compressive reconstruction are also required.