The progress in AI over the past decade is beginning to suggest answers to some of our deepest questions about human intelligence. Below, Tom Griffiths shares five key insights from his new book, The ...

The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating these networks can boost learning, according to a study published in the ...

Lek-Heng Lim longs for a renaissance that would reunite pure and applied mathematics. He points out that the distinction, which in modern math appears to be elemental, is in fact recent. “This break ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

In 1943, a pair of neuroscientists were trying to describe how the human nervous system works when they accidentally laid the foundation for artificial intelligence. In their mathematical framework ...

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 ...

It's been 10 years since Go champion Lee Sedol lost to DeepMind's AlphaGo. Has the technology lived up to its potential?

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...