Description
AI technologies are advancing rapidly. As these models grow in scale and complexity, so too does their environmental impact. In this talk, leading computer scientist Albert Zomaya explores AI’s carbon footprint and considers innovative ways to make AI more energy efficient.
Join as he discusses AI energy reduction strategies, from efficient algorithms to green data centres and hardware advancements. Find out how rethinking the way we train, deploy and manage AI can balance progress with environmental responsibility.
Bio
Albert Y. Zomaya is the Peter Nicol Russell Chair Professor of Computer Science at the University of Sydney and Director of the Centre for Distributed and High-Performance Computing. He is a global thought leader in distributed computing, as well as complex and intelligent systems.
Albert’s research advances technologies that sustain our lives at many scales, from our everyday web use, to the production of household products like toothpaste tubes, as well as high-level computation used in nuclear testing and gene sequencing.
