Another research line that Rus is excited about to make robots smarter was inspired by the development of large language ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Abstract In the age of information, where the line between reality and fiction is increasingly blurred, deepfake technology ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between ...

The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

“By making AI more interpretable and robust, our work will help ensure that deep learning technology is not only powerful but ...

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a pivotal moment in AI history.

Work on deep residual learning is most-cited since 2000 and may become the top of the all-time list within five years, Nature analysis finds The most-cited scientific paper of the 21st century was ...