Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

One of the most enduring goals in regenerative medicine is deceptively simple: replace a person's damaged or dying cells with ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...

Lately, it feels like educators are stuck between a rock and a hard place. On one side, there’s the nagging worry that students will use AI to shortcut their way through an assignment; on the other, ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions. With the market for these ...