The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...

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 ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and facilitating data-driven decisions.

Companies ranging from OpenAI, Meta, Microsoft, and Google to smaller firms and startups are looking for high-quality AI ...

It has since become a mainstay of football broadcasts and training sessions, delivering granular insights to a sport that ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Starlink says it may also share personal data with partners to help it "develop AI-enabled tools that improve your customer experience.” ...

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, ...

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 ...