ERC Advanced Grant · 2024
Brain-inspired Computational Memory
Deep neural networks (DNNs) have transformed the field of AI in recent years. However, a significant challenge persists in the form of inefficient hardware implementations of DNNs. Computation in memory (CIM) is an emerging approach that tackles the processor-memory divide in modern computing systems, enhancing their suitability for DNNs. CIM draws inspiration from certain computational principles found in the human brain, such as hard-wired neural networks and analogue processing. A key question is whether other attributes of information processing in the mammalian brain could help overcome conventional CIM challenges and lead to a radically enhanced variant of CIM. In biological brains,…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.