The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Netflix CEO Spence Neumann described a top-down and bottom-up process for determining content spend, which is expected to come in at about $18 billion in 2025 and, he said, is "not anywhere near a ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

What Is Unsupervised Learning? Unsupervised learning is a type of machine learning that uses algorithms to analyze and draw inferences from unlabeled data. The model is not given explicit instructions ...

Measuring the complexity of arbitrary data has been of interest to many scientific domains, including machine learning and particularly unsupervised learning. In this paper, we cover relevant concepts ...

Supervised learning relies on historical, labeled data to train algorithms for specific outcomes. This approach is widely used in the financial sector, where reliable past data can guide future ...

Spread the love Introduction Artificial Intelligence (AI) and Machine Learning (ML) have become integral parts of our daily lives, revolutionizing industries and shaping the future of technology. As ...