Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...