ERC Consolidator Grant · 2023
Thermodynamic-inspired computing with oscillatory neural networks
There is a pressing need to address the power consumption of computing, which keeps rising to the point it has become an environmental concern. Despite the remarkable progress in semiconductor technology, computing architectures are still energy inefficient, engineered for deterministic tasks as well as susceptible to noise, heat, and variations. Instead of massively over-designing architectures to compute with an acceptable degree of reliability, this research aims to “let physics do the computing” and harness noise, heat and variabilities for energy efficient computing. At the heart of the proposed paradigm is the thermodynamics of open systems entwined with neuromorphic computing.…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.