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?” ...
Unified Compression and Streaming Fabric (SF) provide a practical implementation methodology capable of scaling from individual IP blocks to large AI accelerators containing hundreds of millions of ...
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 ...
Transforming established SoC design paradigms into system-level fabrics capable of supporting next-generation AI, HPC, and data center workloads.
Package twins must track what manufacturing actually builds, not just design intent. Missing process and supplier data can ...
A scalable LPDDR-based memory platform optimized for edge AI inferencing.
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) ...
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