“We present HORIZON, a self-evolving agent framework that treats hardware design as repository-level code evolution. A Markdown harness is compiled into a project pack containing domain knowledge, an ...

AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute ...

We nod at it, we put it on slides, and we move on. But the goalposts keep moving. Things that used to live comfortably at the ...

ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design ...

At the recent Data Center World 2026 in Washington, D.C., one message came through louder than ever: AI infrastructure is ...

On-die telemetry gives architects a path to replace worst-case design margin with measured silicon behavior, improving PPA without compromising resilience. As monitor density and control-loop speed ...

In Part 1, we looked at the innovations underpinning the Cerebras WSE-3 and why its most significant breakthrough is the elimination of data movement overhead at the architectural ...

ULVAC’s Brian J. Coppa, Micron’s Amit Srivastava, SEMI’s Mark da Silva, and SEMI’s Anshu Bahadur propose a comprehensive semiconductor industry roadmap covering carbon emissions, water, and hazardous ...

Agentic AI has the potential to make engineers more productive, speed time to market, and automate some of the drudge work. The big challenge for design and verification engineers is where and whether ...

A designer’s choice of I/O connectors and interconnect protocols can be the difference between a massively profitable AI chip and a flop. I/O tradeoffs impact airflow, cooling, rack design, power ...

More steps in the design flow are shifting left, which makes a complicated design process even more complex. This includes early software prototyping, workload mapping, verification, multi-physics ...

When is a complex chip design ready to be shipped to manufacturing?