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Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required by Danielle Randall Doughty, Massachusetts Institute of Technology ...

Controlling machine learning in a finance environment requires stakeholders' commitment to creating a strong ethical foundation.

As data volumes surge across every industry and machine learning tools become more accessible, predictive analytics is evolving from a niche discipline into a cornerstone of application innovation.

Using machine learning algorithms and human gut bacteria, scientists have developed a new low-cost screening method for detecting colorectal cancer.

Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud?

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries?