Hybrid Computing Framework Looks Beyond Peak TOPS/W For AI Efficiency (Nottingham Trent, ICL, Aston)

Researchers from Nottingham Trent University, Imperial College London, and Aston University published a technical paper titled “Beyond Peak TOPS/W: A System-Level Perspective on Hybrid Digital, Analogue and Neuromorphic Computing.” The paper contends that “hybrid digital–analogue computing represents a credible pathway towards more energy-efficient AI systems: one in which physical substrates earn an expanding role only where they deliver a measurable system-level advantage, under digital orches