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 ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

The integration of AI into cyberattacks marks a significant escalation in the threat landscape. Traditional methods, such as ...

Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal ...

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

Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain’s function and ...

Akida’s small form factor provides magnitudes less power consumption than a GPU, overcoming form factor and power limitations ...

conventional methodologies have predominantly employed iterative up-sampling and down-sampling techniques to augment the receptive field of the network. However, this approach is prone to the loss of ...

Imagine using living bacteria to answer mathematical questions or solve problems that a traditional computer would usually handle. It might sound like something out of a tacky sci-fi film, but it’s a ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...