A federal court ordered UnitedHealth to reveal how its nH Predict claims algorithm worked. The lawsuit’s real story is the ...

We’re talking about a public-safety crisis,” said Oren Segal, senior vice president of the Anti-Defamation League.

Anarchists, union activists, Indigenous organizers, and disgruntled Trumpists find themselves side by side in the fight.

Abstract: Support vector machines (SVMs) are successful supervised learning models that analyze data for classification and regression. Previous work has demonstrated the superiority of the SVMs in ...

Abstract: Searching, retrieving, and arranging text in ever-larger document collections necessitate more efficient information processing algorithms. Document categorization is a crucial component of ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

For non-planar graphs, such solutions are computationally intractable," explained the researchers. The algorithm relies on the Kac-Ward formalism, a mathematical method that allows exact computation ...

The pharmaceutical industry is on the cusp of an AI-driven revolution. By 2030, AI-powered drug discovery is projected to be a $9.1 billion market, growing at a staggering 29.7% CAGR. AI promises to ...

Choosing the right algorithm for machine learning can make a huge difference in making your model very effective. Of many algorithms, two popular choices have been Decision Trees and Random Forests ...

A new deep learning algorithm can predict the structure of proteins bound to a variety of other molecules such as drugs, fluorophores and metals. The work, which allowed researchers to design proteins ...