Researchers employed tree-based machine learning (ML) algorithms, including LightGBM, to predict the formation energy of impurities in 2D materials by integrating chemical and structural features ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

I would like to extend a very warm welcome to the changing tapestry of talent acquisition groups (TAGs), where technology seamlessly integrates with the capabilities of machine learning and ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

A collaborative team of researchers led by Ben Weinstein of the University of Florida, Oregon, US, used machine learning to generate highly detailed maps of over 100 million individual trees from ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 Journal ...