Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

A new connection between human and machine learning has been discovered: While conceptual regions in human cognition for long ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

Transforming Trading Strategies with Advanced Al and Machine Learning - OptionsAlgo.ai. To view an enhanced version of this graphic, please visit: ...

AI and Machine Learning The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

A new sensor technology, utilizing VOC detection in bodily fluids, could rapidly identify bacterial infections and resistance ...

Both generative AI and machine learning use algorithms to address complex challenges, but generative AI uses more sophisticated modeling and more advanced algorithms to add a creative element ...

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 ...