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 ...

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

Researchers at the University of Oxford published a technical paper titled “Hardware-Managed Heterogeneous High-Bandwidth ...

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

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

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.

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

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

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 ...

Researchers from University of Alberta published a technical paper titled “PPAPlace: Differentiable Cross-Stage Objectives ...