Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

Organizations around the world are now embracing machine learning technology to automate their processes. The main challenge ...

A team led by Frank Hutter, Professor of Machine Learning at the University of Freiburg, has developed a new method that facilitates and improves predictions of tabular data, especially for small data ...

The integration of artificial intelligence (AI) into healthcare has opened new frontiers for improving patient care and ...

AI answer generators have revolutionized the way information is accessed and processed in various fields. By leveraging ...

AI doesn't need an introduction on the transformative changes it has brought across numerous industries. AI in product ...

Optical metrology has long relied on interference principles, but a recent review highlights how orbital angular momentum ...

This article provides examples of how AI is helping to shape drug discovery, from drug design through to clinical trials.

After the brutal October 7, 2023, attack by Hamas, the Israel Defence Forces deluged Gaza with bombs, drawing on a database ...

While these ethical concerns do not rule out the use of machine learning tools in embryo assessment, deliberate, considered decisions about how accountability for clinical outcomes will be managed, ...

The year 2024 has marked a significant milestone in the evolution of AI-powered robotics, with transformative impacts across ...

But the evolving role of AI in scientific discovery also raises questions and concerns. Will a lack of access to increasingly ...