Just because a chip is deemed good doesn't mean it will work as expected.

Researchers from the National University of Singapore developed an atom-thin film of amorphous carbon designed to insulate ...

Rather than requiring engineers to manually configure every step of an analysis, automation ensures that critical procedures ...

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

Another challenge is that physical AI depends on sensors that directly connect software to the world. Cameras, lidar, radar, microphones, and positioning systems all shape how the model perceives its ...

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

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

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

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

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 ...

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