NSF WORKSHOP ON
MACHINE LEARNING HARDWARE BREAKTHROUGHS
TOWARDS GREEN AI AND UBIQUITOUS ON-DEVICE INTELLIGENCE
November 10, 11, 17, 2020
Welcome to the NSF Workshop on Machine Learning Hardware!
Objective
The goal of the workshop is to bring together experts from academia, industry, and government agencies to discuss and identify visionary research opportunities and challenges for machine learning hardware breakthroughs towards green AI and ubiquitous machine learning powered intelligence. In addition, the workshop will provide opportunities to form collaborative research from different disciplines. This three-day workshop will be held virtually in November, 2020. It will feature (1) keynote speeches, (2) panel presentations and discussions, (3) breakout and summary sessions as well as (4) poster presentations, with the objective of bringing different research communities together, defining important research challenges and promoting machine learning hardware breakthroughs.
The new NSF headquarters in Alexandria, VA
The workshop panels and breakout sessions will focus on the following areas:
Scalable/Efficient hardware architectures
Enabling technologies
Supporting algorithms, tools, and benchmarks
Driving needs from the end-users/applications
Algorithm-hardware co-design
Opportunities for Photonics in ML Systems
The role of neuromorphic/non-digital computing