Researchers have combined artificial neural networks with genetic algorithms to model and optimize multistage palm oil ...

Deep learning neural networks are usually rife with challenges. For all their layered capabilities, the algorithms themselves are hard to create and even harder to manage. From the demand for millions ...

Researchers paired graphene and cellulose nanoparticles with a genetic-algorithm-optimized neural network to predict hybrid ...

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 ...

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Past psychology and behavioral science studies have identified various ways in which people's acquisition of new knowledge can be disrupted. One of these, known as interference, occurs when humans are ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

Read the original version in Spanish here. This article by Luis Álvarez Ayuso and Federico del Blanco García was originally published in the 16th issue of rita journal under the title "Aplicación de ...