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10-Year Roadmap for AI + Hardware (UIUC, UCLA, Stanford et al.)

Source

SemiEngineering

Published

TL;DR

AI Generated

Researchers from University of Illinois Urbana-Champaign, UCLA, Stanford University, Nvidia, and Google have collaborated on a 10-year roadmap titled "AI+HW 2035: Shaping the Next Decade" to strategically coordinate the development of artificial intelligence (AI) and hardware (HW). The roadmap aims to achieve a 1000x improvement in efficiency for AI training and inference, enable energy-aware, self-optimizing systems, democratize access to advanced AI infrastructure, and embed human-centric principles into intelligent system design. The vision paper outlines key insights, challenges, opportunities, and proposed solutions for AI+HW co-design and co-development, emphasizing energy efficiency, system-level integration, and cross-layer optimization. The roadmap calls for coordinated efforts across academia, industry, government, and the broader community to realize these goals.