Rather than requiring engineers to manually configure every step of an analysis, automation ensures that critical procedures are executed consistently. Simulations can be launched in batches, results ...

Aerospace and government systems need confidentiality, authentication, and implementation resilience for off-chip memory.

Robots and autonomous vehicles are both edge devices, but a humanoid has wheels as well as fingers. Close interaction with humans raises the stakes.

Sparks and fires caused by higher electrical currents can cause costly outages and put people in danger. Hot chips also cause problems.

Required dataset size and achievable accuracy track how smooth the response is, not model size or number of design variables.

Exploding compute demand is exposing new gaps across the hardware supply chain, from chip identity and firmware integrity to post-quantum readiness.

Physical AI demands more than traditional edge silicon. Devices must perceive, reason, and act in real time while protecting data and scaling across product lines. This eBook shows how to move from ...

Enable robust cryptographic mechanisms that remain resilient even against quantum-based computational attacks.

In edge AI, the most dangerous failure may not be a system that stops working, but one that continues operating while quietly ...

Multi-die design is becoming indispensable for automotive applications, such as ADAS and IVI, addressing demands for ...

A dual contact architecture with ultra-low-resistance contacts increases drive current and enables higher frequencies at matched capacitance.

As AI, post-quantum cryptography, chiplets, and custom silicon expand the attack surface, semiconductor security is shifting from isolated safeguards to full-stack verification.