Defining System Intelligence

Editor’s note. For the second article of the The Next Horizon of System Intelligence series, the team from Microsoft Research and University of Illinois Urbana Champaign shares their efforts on defining System Intelligence and their perspective on realizing it through benchmarks as an initial foundation. They are calling for community contributions to enrich existing benchmarks and create … Read more

From Theory to Practice: Introducing Architectural Prisms, an Experiment in AI-First Academic Dialogue

Editor’s notes: This article is cross-referenced from the SIGARCH Blog. The problem described in the article also applies to the SIGOPS community. Certainly, whether to ask AI for help in the paper review systems should be a community decision and must be done in the right way. A little while ago, I published a post … Read more

Wafer-Scale AI Compute: A System Software Perspective

This article originally appeared in USENIX ;login: magazine, shepherded by Rik Farrow. As AI models grow larger and more complex, traditional computing architectures are hitting performance and efficiency limits. A new class of hardware, wafer-scale AI chips, pushes these boundaries by integrating hundreds of thousands of cores and massive on-chip memory onto a single wafer. … Read more

Barbarians at The Gate: How AI is Upending Systems Research

Editor’s note: For the first article of the The Next Horizon of System Intelligence series, we invite the ADRS team from Berkeley to share their recent work which has raised very active discussions in the community. AI is no longer just tuning systems as a “black box.” It’s now rewriting their core algorithms by treating … Read more