Second Green AI Summit at Harvard and Boston University Successfully Convened
Join us for the Green AI Seminar, an engaging session on Sustainable Computing via Data and Memory Efficient Models. The event will feature a talk by Dr. Shreyank Gowda, Assistant Professor of the University of Nottingham. As AI models grow larger and more complex, their energy demands have become a critical environmental concern. This talk will explore strategies for balancing high-performance AI with energy efficiency, aligning technological advancements with sustainability goals.
The session will feature a presentation on the motivations behind sustainable computing, including the energy challenges posed by models like GPT-3, which required an estimated 1,287 MWh of energy during training—equivalent to the emission of hundreds of tons of CO₂. The speaker will introduce cutting-edge work on data- and memory-efficient models designed to reduce AI's environmental footprint while maintaining top-tier performance.
Topic: Sustainable Computing via Data and Memory Efficient Models
Date: Friday, January 31
Time: 11AM-12PM ET
Location: Zoom
Register: https://forms.gle/YGK8fVUPZLN3Hcfx9
Don’t miss this opportunity to learn about cutting-edge sustainable computing innovations and engage in meaningful discussions on the environmental impact of AI models. Feel free to share this opportunity with your peers.