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 ...

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

How AI works through data, models, and learning. Discover how small and large AI systems process input and make intelligent ...

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

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

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 ...

Helm.ai, a leading provider of advanced AI software for high-end ADAS, autonomous driving, and robotics automation, today introduced Helm.ai Driver, a real-time deep neural network (DNN ...

Intelligent nanophotonics, combining nanophotonics and machine learning, is transforming optical information processing. This ...

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.