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 ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

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 ...

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

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 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, ...

machine learning (ML) is one of the most popular fields in AI, and one of the most ground-breaking scientific tools of our age. Deep learning, a subfield of ML, employs artificial neural networks to ...

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

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 ...

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 ...