sustainable-ai

The article discusses the 'AI power wall' where compute growth outpaces efficiency gains, proposing four paradigm shifts—neuromorphic, photonic, memory-centric, and approximate computing—to make AI sustainable, and promotes the upcoming 'Watt Matters in AI' conference addressing full-stack energy reduction.