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

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

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 Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

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 ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

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