Equal Opportunity and Non-discrimination at Princeton University: Princeton University believes that commitment to equal opportunity for all is favorable to the free and open exchange of ideas, and ...

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

Optimization and statistics are everywhere, touching all engineering disciplines in an ever more sophisticated way. Nowhere are they more important than in the rapidly evolving field of machine ...

This workshop, presented by the IMF Statistics Department, is aimed at country officials from NSOs and central banks who are seeking to acquire the knowledge and skills necessary to leverage Big Data ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions-but there is always room for improvement.

A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

This leads to impactful results in the areas of supervised, unsupervised and reinforcement learning, and vice versa to impactful results of machine learning in neuroscience. Importantly this field can ...