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

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 the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from neuroscience to create more ...

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 ...

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.

The Gillespie algorithm provides statistically exact methods for simulating stochastic dynamics modeled as interacting sequences of discrete events including systems of biochemical reactions or ...

Consciousness may emerge not from code, but from the way living brains physically compute.

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