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 ...

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 ...

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

Brain organoids can be a good step forward, assuming they are grown from induced human pluripotent stem cells. That allows us to sidestep ethical concerns about the use of human embryos, thereby ...

In a study published in Science, researchers at Karolinska Institutet describe the neural processes behind how morphine relieves pain. This is valuable knowledge because the drug has such serious side ...

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