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At TEDxChicago 2024, Northwestern Engineering professors Mark C. Hersam and Alessandro Rotta Loria showcased their innovative work addressing critical global challenges. Hersam focused on sustainable artificial intelligence, highlighting the alarming energy consumption projected for AI by 2027, which could rival that of a country like Argentina. Rotta Loria discussed urban climate solutions, particularly the impact of underground heat on city infrastructure and ecosystems.
Hersam's research aims to develop energy-efficient AI hardware inspired by the brain's architecture, potentially reducing AI's energy demands significantly. Meanwhile, Rotta Loria's work on geothermal structures offers a dual solution to combat underground climate change while meeting urban energy needs. Both presentations emphasize the urgent need for interdisciplinary collaboration to tackle these pressing issues.
• AI energy consumption could reach 100 trillion watt-hours by 2027.
• Microsoft is considering building reactors to power AI data centers.
Hersam's work focuses on creating energy-efficient AI hardware to address the growing energy demands of AI technologies.
This approach aims to enhance energy efficiency in AI systems by co-locating memory and processing functions.
Rotta Loria's research explores how these structures can mitigate underground climate change while providing energy for urban buildings.
The company is exploring nuclear energy solutions to meet the high energy demands of its AI data centers.
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