A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.

A new theoretical study argues that many standard beliefs about consciousness are rooted in a misleading concept of how the ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

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 ...

When René Descartes watched a mechanical figure move with lifelike precision in the 17th century, the scene unsettled him. The machine behaved like a person, yet no one believed it could feel.

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.