Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Astronomy is entering an era in which software decides which signals become candidates, which become noise, and which receive ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

A new quantum algorithm developed by University of Georgia statisticians addresses one of the most complex challenges in single-cell analysis, signaling significant impact in both the fields of ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

Modern agriculture has quietly become one of the most data-intensive industries on the planet. Fields dotted with soil sensors, drones overhead, automated irrigation lines, and networked greenhouses ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...