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Hybrid Computing Framework Looks Beyond Peak TOPS/W For AI Efficiency (Nottingham Trent, ICL, Aston)
['Technical Paper Link', 'Tom Katsioulas', 'Alex', 'Matt Bailey', 'Alexis R. Ware', 'Yağız Boz', 'Murugavel Ganesan', 'F. Chen', 'B.S. Deepaksubramanyan', 'Brian Bailey']
Semiconductor Engineering
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 orchestration that manages integration, uncertainty and fallback.”
Find the technical paper here.
“Beyond Peak TOPS/W: A System-Level Perspective on Hybrid Digital, Analogue and Neuromorphic Computing.”
arXiv, August 2026. https://doi.org/10.48550/arXiv.2608.03514.