The nuclear industry is a prime target for the use of machine learning and artificial intelligence (AI) and there are ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

From jail breaking an AI to security and integrity of AI training data, what are the best ways to fend off threats from ...

Researchers have developed a novel solution for trapping carbon in concrete by blending a sustainable, easy-to-grow green ...

The maker movement is a global trend that encourages people to create, innovate, and solve problems through hands-on projects ...

AI is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI ...

AI workloads have fundamentally transformed data center communication requirements, introducing unprecedented demands for ...

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 ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...

To mitigate this challenge, we investigate how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and Graph Neural Network (GNN) can ...

Fourteen years ago, Michael Pollan offered us Food Rules. Today, researchers armed with machine learning and 50,000 grocery items are trying to turn Pollan’s “wisdom” into science. The findings ...

Aleksandr (Alex) Timashov, a machine learning engineer at Meta in London, has shared valuable tips and insights drawn from his success in obtaining an interview with one of the world's leading tech ...