Georgios Tsormpatzoglou

Thermodynamic computing with oscillatory neural networks for linear algebra problems

Physical computing paradigms have recently gained considerable traction. By letting physics take care of the computation, these paradigms offer an energy-efficient alternative to conventional von Neumann architectures. Among these approaches, oscillatory neural networks (ONNs) have emerged as promising candidates, whic...