This innovative optical system encodes data as holograms, utilizing neural networks for decryption, paving the way for ...

Networks of neurons can perform computations that have proved very difficult to emulate in conventional computers ... can we characterize the dynamics of neural networks with recurrent connections?

"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...

They showed that conventional reservoir computing (RC ... theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on ...

Traditional artificial intelligence (AI) systems are built on artificial neural networks that mimic the human brain’s neurons ...

Unlike traditional neural networks, which require extensive training ... process remains as simple and computationally efficient as conventional RC. To test their method, the researchers conducted ...