US researchers have created a machine-learning-guided method to design better electrolytes for sodium-metal batteries.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Deep learning used in automated materials sorting may have the AI label attached to it, but it has few connections to ...

Find out how this structured machine learning roadmap called I-Con could lead to breakthroughs in AI. A new “periodic table for machine learning” is reshaping how researchers explore AI, unlocking ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...

The PG Level Advanced Certification Programme in Applied Data Science & Machine Learning is a collaboration between IITM ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Ultra-thin two-dimensional (2D) materials are only one atom thick. They can act as powerful filters at the tiniest scales, ...

What if the Higgs boson found in 2012 is not alone but is the only sibling we have encountered so far? Scientists at CERN ...

Artificial intelligence narrowed more than 800,000 quasar observations to seven strong candidates for an exceptionally rare ...