A Nature analysis reveals the 25 highest-cited papers published this century and explores why they are breaking records.

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

Junior Deven Gupta and sophomore Paul Rosu were selected as Goldwater Scholars out of a pool of over 1350 applicants. They ...

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...

This is an era when the great certainties that ruled American life for nearly three generations are being questioned more deeply, more widely and more seriously than at any time in decades. When ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

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 ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

"By leveraging digital tools, readers can build their knowledge base in fragmented reading time. In this way, AI is breaking ...

From Antioch to Whites Creek, the 2025 MNPS valedictorians and salutatorians represent a diverse, ambitious group of young ...