DSP adoption demonstrated that technical innovation alone is not enough. Three lessons remain particularly relevant for edge ...

Ethernet auto-negotiation; multiphysics to avoid overdesign; PCB design reuse; mobile LLM quantization; modeling BSPDNs.

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 ...

AI scalability will require full-stack co-optimization, not just bigger data centers. AI workloads require a 10X compute ...

A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...

Onsemi to buy Synaptics; IBM's 7Å chip w/40% more SRAM area; 1nm MoS2 nanotubes; AI pressure points; memory updates; $250M ...

Key Takeaways: Agentic edge AI drives long-lived, tool-mediated loops with variable demands for compute, tokens, and memory. Edge PPA is dominated by memory hierarchy and data movement, forcing tight ...

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 ...

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

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 ...