Modern football is not just about training, instinct, and physical endurance. It is also about mathematics, big data, and ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Researchers from Okinawa Institute of Science and Technology outline a strategy for using machine learning (ML) to address ...

At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data ...

Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new developments for machine learning algorithms.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...