The application of Petri nets in cyber-physical systems and reconfigurable computing offers a robust framework for formalising and verifying the behaviour of complex, interactive systems. By providing ...

Traditional computing systems struggle with dynamic adaptation and suffer from the separation of sensing, processing, and memory functions, leading to high energy consumption and latency. Neuromorphic ...

Researchers at the University of Washington and MIT have developed a programmable photonic integrated circuit that uses phase-change materials to eliminate static power consumption while enabling ...

As an emerging non-volatile device, memristors have garnered significant attention due to their low power consumption, high density, and multifunctionality. In modern computing systems, traditional ...

The heated race to develop and deploy new large language models and AI products has seen innovation surge—and revenue soar—at companies supporting AI infrastructure. This year’s Most Innovative ...