Over the past decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the representation of the space immediately surrounding the body. This area, also ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I analyze the recently announced ...

AI is ultimately a story about selfhood—and the answer will not be found in the machine, but in what mindful awareness allows ...

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 ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...

The future of AI points toward systems that are more general, adaptive, and integrated. Artificial General Intelligence, or AGI, refers to AI that can perform a wide range of intellectual tasks at ...