Ethernet auto-negotiation; multiphysics to avoid overdesign; PCB design reuse; mobile LLM quantization; modeling BSPDNs.
DSP adoption demonstrated that technical innovation alone is not enough. Three lessons remain particularly relevant for edge ...
Expanding beyond traditional block-based SSD access with new command sets, broader media support, and improved transport ...
This is what the software-defined vehicle looks like in practice. Fewer chips, more consolidation, and far more dependence on ...
A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...
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 ...
At the recent Data Center World 2026 in Washington, D.C., one message came through louder than ever: AI infrastructure is ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design ...
Embedded systems are becoming more powerful, more connected, and more exposed. At the same time, attacks on hardware evolve rapidly, expanding beyond software exploits into physical techniques such as ...
Device interface board must balance flexibility in handling with customization for different optical connectors. Test fixtures should account for DUT socketing challenges, such as warpage, coupling, ...
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