A much faster, more efficient training method developed at the University of Waterloo could help put powerful artificial ...

Germany’s most important research funding prize is presented to ten researchers / Prize money of €2.5 million each / Award ceremony to be held in Berlin on 18 March ...

The Austrian startup combines real-time physics AI with a hybrid work model designed to support deep research, debate, and ...

This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

Quantum physics has a reputation for needing exotic hardware, from liquid-helium-cooled qubits to sprawling AI clusters, just ...

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

Parabolic partial differential equations (PDEs) are fundamental in modelling a wide range of diffusion processes in physics, finance and engineering. The numerical approximation of these equations ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation.

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...