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.

Abstract: In this paper, by taking a locally active memristor (LAM) as the neuronal synapse to link two identical/disparate ReLU-type Hopfield neural networks (RHNNs), the memristive homogeneous and ...

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 ...

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 ...

that are learnable by a geometric neural network. In experiments on macaque and rat brain recordings, the scientists used MARBLE to show that when different animals used the same mental strategy to ...

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

Unlike traditional electron microscopy, which only visualizes synapses, this method also measures connection strength, providing deeper insight into brain network function. The chip mimics patch-clamp ...

“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 ...