Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer more quickly.

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

Imagine a world where your computer doesn’t just work harder but smarter, tapping into the very chaos that surrounds us. It’s not science fiction—it’s the dawn of probabilistic and thermodynamic ...

Chaos may be behind the brain's ability to compute probabilities, according to a new analysis by two neuroscientists at RIKEN. The research is published in the Proceedings of the National Academy of ...

The Game Rating and Administration Committee (Chair Seo Tae-geon, hereinafter “GRAC”) signed a memorandum of understanding ...

One of the key factors contributing to continuous safety improvement at nuclear power plants is a comprehensive safety assessment, factoring in insights from the probabilistic safety assessment to ...