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

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

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

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 ...

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 ...

In a major step toward more reliable AI-assisted molecular design, researchers from National Taiwan University have ...

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

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

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

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

Sushira Somavarapu has experience in data analytics and digital platform optimization, combining technical knowledge with ...

Researchers have developed a machine learning model that predicts Cas9 proteins that can be tailored with designer properties for therapeutic use.