A mixture of expert agentic AI systems can focus on their tasks with or without a commanding general, but challenges remain ...
Digital twins and thermal sensors; agentic AI workflows; physical AI needs new silicon; RF design changes.
Researchers at the University of Wisconsin–Madison and Marist University published a technical paper titled “Demystifying ...
Researchers at UCLA published a technical paper titled “Can Agents Design Better Chips with a Higher Level Abstraction?” ...
Researchers at Georgia Tech, Nvidia Research, and Stanford University published a technical paper titled “BOOST: Concurrent Access to Host Memory and HBM to Accelerate LLM Inference.” Abstract Excerpt ...
Package twins must track what manufacturing actually builds, not just design intent. Missing process and supplier data can ...
Intel may be the marquee name, but materials suppliers, packaging hubs, and quantum startups will determine whether the region becomes a true semiconductor ecosystem.
Expanding computational capabilities and deeper co-development are changing how materials move from lab to fab.
Warpage is becoming a bigger constraint as package, interposer, and panel sizes grow. Negative thermal expansion (NTE) ...
As AI and high-performance computing (HPC) workloads continue to scale, rising current demands are pushing traditional power delivery networks to their limits. Power delivery has become a critical ...
Siemens’ Harry Foster finds that first-silicon success has fallen sharply, with only 5% of IC/ASIC respondents to the latest functional verification study reporting first-silicon success in 2026, ...
Most conversations about AI start and end with compute. But every training run and every inference query is ultimately a data problem, and data must live somewhere. Memory, and increasingly, the ...
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