ERC Starting Grant · 2025
Logic-Driven Efficient Computing and Analysis of Deep Neural Networks on Hardware
Deep neural networks (DNNs) have achieved great breakthroughs in many fields. However, DNNs require massive multiply-accumulate (MAC) operations and their execution on digital hardware causes formidable energy consumption. State-of-the-art solutions are still focusing on simply accelerating MAC operations in DNNs instead of examining their actual logic functions after training. The blind execution of massive MAC operations in inference, however, poses critical risks to performance and energy sustainability of AI systems. It also misses the opportunity of examining internal decision-making processes of DNNs for their verification in reliability-critical systems. To address these challenges,…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.