A team led by Frank Hutter, Professor of Machine Learning at the University of Freiburg, has developed a new method that facilitates and improves predictions of tabular data, especially for small data ...

How researchers are tapping into the power of artificial intelligence to propel research advances in history, sociology, and ...

Nvidia's Cosmos platform lets researchers simulate multiple different realities and simulate real-world physics to generate ...

NVIDIA's new Cosmos world foundation models can generate physics-accurate video to build up a training library, making AI ...

Unlike AI, humans are shaped by diverse needs: navigating a 3D world, socializing, avoiding conflict, fighting when necessary ...

By grappling with the messy and unpredictable side of existence, machine learning can have impact beyond the digital.

Agentic AI will be a critical differentiating capability. This framework can help business executives define, understand, and ...

Forecasts powered by machine learning are proving to be faster and cheaper to produce than with conventional methods - and ...

This process can be made much faster by training a machine learning model ... must encapsulate the relevant physics of the system and are fed into the machine learning model.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Theory of quantum materials engineering, combining theoretical material science, quantum many-body physics and machine learning for quantum materials. The Correlated Quantum Materials (CQM) group ...