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 ...

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.

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 ...

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by AJ Brown, CEO and co-founder of LeadsRx.

The rise of artificial intelligence (AI) and machine learning (ML) has created a crisis in computing and a significant need for more hardware that is both energy-efficient and scalable. A key step in ...

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 ...

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