TinyML can run on standard microcontrollers, but ones with hardware acceleration or AI/ML-enhanced instruction sets can implement AI/ML models more efficiently. They can also make applications ...

A hardware root of trust (HRoT) serves as the system’s foundational, immutable source of trust. Implemented directly in silicon – via a secure boot ROM or a dedicated security controller – it executes ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to encode ...

Flexible electronics such as flexible sensors, flexible circuits, and flexible actuators hold promising applications in robotic systems. They can effectively enhance a robot's intelligence, enabling ...

There once was a time when system design was completely serial. Entire hardware platforms were designed, prototyped, debugged, and virtually completed before any software development began. Of course, ...

Princeton-led advancement integrates living brain cells with 3D electronics, enabling low-power pattern recognition and ...