Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

A machine-learning breakthrough could lift the veil on Earth’s early history—and supercharge the search for alien life ...

In a period defined by inflationary pressure, tightening capital markets and uneven sector performance, few indicators matter more to investors than a company's ability to demonstrate real, measurable ...

The Ford Mustang’s reputation for ending up sideways across medians and social feeds has hardened into cliché, but the pattern hides a more uncomfortable truth. The car is not uniquely cursed by its ...

At ELRIG’s 2025 meeting in GSK’s Stevenage campus, Recursion’s Executive Director of Computational Biology, Dr. Kelly ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of ...

The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...

A new system could overhaul maps that misclassify hundreds of thousands of smallholder coffee and cacao farmers as working in ...

Generative AI has emerged as a transformative technology in robotics, offering powerful capabilities for synthesizing data that supports learning, planning, ...