Inasmuch as we hear about Generative AI and chatbots in the news, the number of edge computing devices running AI workloads has also been growing exponentially, transforming the landscape of computing and shaping the way we interact with technology. This shift is due to the increasing demand for real-time data processing and analytics in various industries such as healthcare, manufacturing, and smart cities.

As this trend continues it’s critical that we establish a new vision for not only applying edge AI to address our most critical sustainability challenges, but innovating to develop carbon-neutral semiconductors and edge AI hardware, as well as the impact on industry and policy for the United States and beyond.

The National Science Foundation, in coordination with the TinyML Foundation, Associate Professor Tinoosh Mohsenin of John Hopkins, and Professor Vijay Reddi of Harvard is supporting a workshop on this important topic in Washington D.C. on September 23rd and 24th entitled:

Eco Edge – Advancing Sustainable Machine Learning at the Edge

The event will bring together select leading researchers from academia, the technology industry, NGOs and policy makers to hear presentations and develop workgroup-based output that prescribes the challenges and opportunities that drive a reference for next steps in research, education and policy making.

Key topics include:

• Sustainability Implications of Edge ML at a Global Scale
• Environmental innovation of Technology, Circuits, Microarchitecture, and Systems
• Modeling, Simulation, and Emulation Tools for Edge Platform Lifecycle Analysis
• Benchmarks and Metrics
• Policy, Governance, Social Impact, and Standards

This is an invite-only event.  Please contact us with attendee/speaker nominations or any questions at ecoedge@tinyml.org.