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

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

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 systems operate in a data-driven programming domain where ... Good ML testing strategies aim to reveal any potential issues related to design, model selection, and programming to ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

Machine Design’s audience has a diverse familiarity with AI, but one thing is clear—its impact is growing, from streamlining ...

Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in re ...

Scientists are turning to machine learning to predict diseases, design drugs, and uncover hidden patterns in massive datasets ...

You have to expand from design verification to system validation in the real world.” Not all machine learning is about autonomous vehicles or cloud-based artificial intelligence. Wherever there is too ...

Researchers have developed a machine-learning workflow to optimize the output force of photo-actuated organic crystals. Using ...