Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Python bindings for the DF-Louvain algorithm, a "Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs," originally implemented in C++ with OpenMP. This package allows Python ...

It’s hard to ignore the seismic shifts brought about by algorithm-driven content. Every time you scroll through your social media feed or check your favorite news app, algorithms are diligently at ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.

After taking over Twitter, Elon Musk has turned the social media platform into a different beast. First, he rebranded it to X, and then, algorithm updates every few weeks became a constant. Musk ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

AUSTIN, Texas— Eagle Eye Networks today introduced Eagle Eye Gun Detection, a new security layer for schools, institutions of higher education and communities that works with existing security cameras ...

SHREVEPORT, La. - No one knows you more than an algorithm. Your best friend may not know you like to watch videos of people knitting or power washing a sidewalk. But the algorithms of TikTok and ...