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 ...

In recent years, engineers have been trying to create hardware systems that better support the high computational demands of machine learning algorithms. These include systems that can perform ...

The research team led by Researcher Tianyu Wang from the School of Integrated Circuits at Shandong University has systematically reviewed the latest advances in emerging memristors for in-memory ...