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The THERMODON project explores energy-efficient computing by integrating thermodynamics with neuromorphic architectures. It aims to develop systems that utilize noise and heat for self-organizing learning, transforming how intelligent systems process information in real-time.
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 comput…
TECHNISCHE UNIVERSITEIT EINDHOVEN
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