Artificial intelligence (AI) is a cornerstone of modern technology, underpinning everything from predictive texting on mobile phones to complex logistics spanning the globe. However, bigger and better AI systems require increasingly much power to operate at full capacity, straining global energy supplies and limiting the democratisation of AI. Project ACAN is using a circuit design technique called "charge recovery" to implement AI systems with far higher power efficiency; in fact aiming to lower the power consumption of such systems by a factor of 10x. 

Our recently launched ACAN video explains charge recovery computing and the potential of the first adiabatic neuro network demonstrator chip: to revolutionise computing and saving some of our planet's resources.