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

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

When René Descartes watched a mechanical figure move with lifelike precision in the 17th century, the scene unsettled him.

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 ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

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

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 ...