How can machine computation simulate the way the human brain thinks? 🧠
The answer may lie in neural dynamical systems and controllable compute-in-memory. Every second, our brains process countless electrical signals, allowing us to perceive, react, and make decisions almost instantly.
Yet when computers simulate these neural dynamics, even tiny delays can become a major challenge. In applications such as surgical robotics, autonomous systems, and other real-time scenarios, every millisecond matters.
A research team led by Prof. Yang Yuchao from the PKU School of Integrated Circuits, in collaboration with the Shanghai Institute of Microsystems and Information Technology of the Chinese Academy of Sciences, is tackling this challenge with a new phase-change memristor (PCM) chip that enables neural dynamical systems to run in under 10 milliseconds. By combining compute-in-memory architecture with adaptive time-stepping, the team is bringing brain-inspired computing one step closer to the remarkable speed and efficiency of the human brain.
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PKUResearch#