The shift from software-defined to AI-defined vehicles raises questions about whether the hardware can keep up.

As models evolve faster than silicon cycles, chip architects must balance flexible compute, data movement, and ...

Distributed NVM supports high-endurance telemetry logging, functional safety, and time-sensitive networking where resilience ...

Observe how protocol intent becomes die-to-die activity and how link-state transitions affect transaction behavior.

The types of threats that must be mitigated and a process to verify that designs are secure in real-world deployment.

AI’s biggest EDA opportunity is workflow-level orchestration that coordinates tools, people, constraints, and domain knowledge across traditionally fragmented design stages, rather than merely ...

Larger packages, finer routing, and embedded functions are pushing advanced substrates toward application-specific designs.

A mixture of expert agentic AI systems can focus on their tasks with or without a commanding general, but challenges remain ...

Researchers at Purdue University and the UCLA published a technical paper titled “Experimental Evidence for the Impact of ...

On-device AI can deliver faster insights, greater autonomy, and less cloud traffic — but only with the right infrastructure.

Verification data is not enough without verification context Most verification environments are good at producing outputs. They generate logs, waveforms, assertions, coverage metrics, pass/fail status ...

Moores Lab AI is betting that chip design AI will only work if it is built around deep semiconductor expertise, not generic ...