Bringing Powerful Machine-Learning Systems to Daily-Life Devices via Algorithm-Hardware Co-Design

摘要

While the recent breakthroughs achieved by machine learning (ML) systems promise to dramatically transform the way we live and work by enhancing our ability to recognize, analyze, and classify the world around us, such a transformation has yet to be unleashed. This is because powerful ML algorithms come at a cost of prohibitive complexity and energy requirements, whereas most daily-life devices, such as drones, wearables, self-driving cars, and smartphones, have limited energy, computation and storage resources. Towards bringing powerful ML systems into our daily-life devices, the Efficient and Intelligent Computing (EIC) Lab at Rice University explores techniques to empower daily-life devices with intelligence. In this talk, 1 will share some promising techniques we recently developed and exciting projects that we are working on.