NewYork-Presbyterian researchers have developed a deep learning model that increases doctors' abilities to diagnose ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

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 ...

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

At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session " Predicting the Future using Azure Machine Learning, ...

Analysis of Large Datasets: Deep learning algorithms can efficiently process and analyze large datasets, which is essential for extracting insights from the vast amounts of data generated today.

A geometric neural net for dynamic data Traditional deep learning is not suited to understanding dynamic systems that change regularly as a function of time, like firing neurons or flowing fluids.