Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

In1956,asmallconferenceroominDartmouthignitedtheterm'artificialintelligence.'Nearlyseventyyearslater,wef… ...

The fields of psychology, robotics and machine learning have each been using some version of the concept for decades. You likely have a world model running inside your skull right now — it’s how you ...

This architecture enables EO-1 to simultaneously process visual signals, language instructions, and action feedback, thereby enhancing the robot's intelligence level. In kitchen scenarios, EO-1 ...

How AI models are getting smarter Deep neural networks are learning diffusion and other tricks ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

The idea of thinking machines (Turing, 1950) and the term “artificial intelligence” were introduced in the 1950s (McCarthy, 2007). The 1960s and 1970s saw the development of neural networks. The 1980s ...

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is ...