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 ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

This course is designed for students from various disciplines that use data to inform decision-making. It is suitable if you want an in-depth understanding of how machine learning can be integrated ...

Machine Learning with Omics Data Health research is increasingly turning to high-throughput molecular datasets (also known as ‘omic’ datasets) to discover novel biomarkers of disease risk and outcome.

India’s market regulator, Sebi, has proposed a five-point regulatory framework to govern the use of Artificial Intelligence ...

If you ever wondered how to unlock powerful insights fast from your data or ideas, then you probably should check out Pondershort.com secrets — its kinda like ...

Artificial intelligence (AI) is revolutionizing supply chain management (SCM) software by providing predictive insights, improving efficiency, and enabling autonomous operations. However, challenges ...

Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .

A weekly newsletter that helps demystify artificial intelligence. Founded at the Massachusetts Institute of Technology in 1899, MIT Technology Review is a world-renowned, independent media company ...