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Statistical physics is a branch of physics that uses probability theory and statistics to solve ... behaviour of its components. A deep learning algorithm is presented to classify single-particle ...

Hopfield and Hinton developed a theory for neural networks based on the idea of statistical mechanics. Just like Ising before ...

MODERN statistical analysis, particularly that relating to the production of adequate and exact tests of significance, owes much to the painstaking researches of R. A. Fisher, whose text-book ...

Other active interests include physics (statistical physics, acoustics), mathematical music theory, computational number theory, computational chemistry, history of mathematics, ethnomathematics, ...

After people stopped caring, artificial intelligence got more interesting.

This research note is the first in a series exploring the emerging impact of causal AI. It will focus on the growing ...

A career in data analytics can be exciting, especially for those who are interested. Many industries are growing and need ...

Hopfield and Hinton's groundbreaking work in artificial neural networks paved the way for modern AI applications like ChatGPT ...

But two names stand out for foundational contributions to the deep learning technology that makes those experiences possible ...

While its development was funded to serve as “market software that reduces the time corporations and organizations use to train data and analytics employees,” Stat Tree has evolved into a free tool ...

These include rethinking the nature of dark energy (the force causing the universe's expansion to accelerate), invoking a new force of nature or even tweaking Einstein's theory of gravity on the ...