AI is rocketing ahead. It is the biggest industrial revolution of our age. AI adoption is growing, but still most are at ...
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 ...
Non-Volatile Memory Express (NVMe) has become the dominant protocol for high-performance storage across client SSDs, enterprise drives, and hyperscale data centers. With NVMe 2.0, the specification ...
In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...
DSP adoption demonstrated that technical innovation alone is not enough. Three lessons remain particularly relevant for edge ...
Processing-using-DRAM interference; atomic-scale plasma processing; gallium oxide phase instability; event-driven reinforcement learning for fab control; microarchitectural timing leaks in embedded ...
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 ...
Researchers from the University of Illinois Urbana-Champaign developed a low-temperature process for monolithic 3D integration using standard single-crystalline silicon. “Generally, the industry ...
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