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

SUTD, which is home to some of the world’s top scientists, envisions AI as assistive technology that needs humans for its ...

This highlights the pressing need for skilled professionals who can identify and mitigate biases in AI models, ensuring fairness and transparency in AI-driven decisions.​ Recognizing this imperative, ...

Farming is changing, and automation is making it more efficient and cost-effective. This whitepaper explores how robotics, ...

Manish Tripathi has experience in artificial intelligence and machine learning, with a focus on applying AI in business ...

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

Enoch Toh is a junior pursuing a Bachelor of Science in Molecular and Cellular Biology and Computer Science (CS). He is a ...

Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

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

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...