AI and Sustainable Computing

New Project: Carbon Connect: An Ecosystem for Sustainable Computing (2024-2029)

This project is an exciting 5-year initiative funded by NSF to lay the foundations for sustainable computing. From semiconductors t odatacenters, we will develop strategies and carbon accounting tools for susatainable computing systems and AI. 

This is a multi-institutional collaboration that invovles Yale University, Harvard University, the University of Pennsylvania, the California Institute of Technology, Carnegie Mellon University, Cornell University, Yale University and The Ohio State University.

Project summary can be found here. Project team website can be found here

Artificial Intelligence Applications in the Chemical Manufacturing Industry

The chemical industry is responding to increased energy demand and environmental performance expectations by exploring the use of emerging technologies in the manufacturing process. Artificial Intelligence (AI) is one of these technologies, which shows great potential in reducing the energy consumption and environmental footprints of the chemical industry. However, the lack of system assessment methods and credible performance data for quantifying the environmental and energy benefits of AI may deter policymakers and early adopters, whose investments are crucial for accelerating deployment. This project aims to address this gap by exploring and investigating assessment methods that could be applied to understanding the benefits of different AI applications.

This project is part of the Project on the Energy and Environmental Implications of the Digital Economy, sponsored by the Alfred P. Sloan Foundation.