Two trailblazing computer scientists have won the 2024 Turing Award for their work in reinforcement learning, a discipline in ...

Munich news, health insurance, technology, jobs and other topics for expatriates. The Eye Newspapers covers daily news and offers services for foreigners.

However, most existing neural networks capable of generating complex dynamics are continuous-time models with high dimensionality, resulting in significant resource overhead for digital implementation ...

However, the dependence on initial conditions has not been comprehensively discussed in the literature. This work presents an electrical-synapse-coupled model consisting of two homogeneous Hopfield ...

The best network switch will be a necessity for anyone looking to add more wired connections and gain greater network speeds. One of the biggest issues we've found with even the best routers and ...

Associate Professor, Physics, CWRU; Associate Director, Center for AI in Disease Biology, CWRU ...

“This is a leap forward in understanding how the brain does such a good job of detecting novelty,” said Yuste, noting that the model that Shymkiv created builds on the ideas of John Hopfield, who won ...

noting that the model that Shymkiv created builds on the ideas of John Hopfield, who won the Nobel Prize last year for building neural network models and pioneering artificial intelligence.