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, ...

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 ...

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

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

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...

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

As generative artificial intelligence becomes a foundational layer in modern software and machine learning development, ...

Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

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 ...