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 ...
Edge AI is reaching a familiar inflection point, much like Digital Signal Processors (DSPs) did in the 1990s, with adoption ...
A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...
Ethernet auto-negotiation; multiphysics to avoid overdesign; PCB design reuse; mobile LLM quantization; modeling BSPDNs.
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
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 ...
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 ...
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 ...
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