Expanding beyond traditional block-based SSD access with new command sets, broader media support, and improved transport ...
Ethernet auto-negotiation; multiphysics to avoid overdesign; PCB design reuse; mobile LLM quantization; modeling BSPDNs.
This is what the software-defined vehicle looks like in practice. Fewer chips, more consolidation, and far more dependence on ...
AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
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 ...
A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...
At the recent Data Center World 2026 in Washington, D.C., one message came through louder than ever: AI infrastructure is ...
ChipAgents has introduced Renoir, an agentic large language model (LLM) whose name means “renew.” In early chip design ...
Edge AI is reaching a familiar inflection point, much like Digital Signal Processors (DSPs) did in the 1990s, with adoption ...
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 ...
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 ...
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