The proposed RC method with generalized readout is based on generalized synchronization, offering enhanced accuracy and robustness while preserving the simplicity and efficiency of conventional RC.

Mathematical models have long provided a robust framework for understanding the intricate processes underlying visual perception and neural processing. By combining principles from differential ...

In this video, we will look at the details of the RNN Model. We will see the mathematical equations for the RNN model, and ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

Mahya Ghandehari, an associate professor in the University of Delaware’s Department of Mathematical Sciences, was recently awarded the NSF Combinatorics program grant titled “A graphon-based approach ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Principal Research Fellow at AI and Cyber Futures Institute, Charles Sturt University Optical illusions, quantum mechanics and neural networks might seem to be quite unrelated topics at first glance.