BIOENGINEER

Parallel algorithms push well-connected community detection to billion-edge graphs

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...
BIOENGINEER

New distributed algorithms find communities in time-stamped historical graphs

Researchers have introduced distributed algorithms that detect communities in a class of networks where time is built ...
Android Authority

Samsung’s upgraded sleep apnea detection is rolling out to Galaxy Watch and Galaxy Ring

Samsung is rolling out an upgraded sleep apnea detection algorithm to the Galaxy Watch 9, Galaxy Watch Ultra 2, and the Galaxy Ring across the US and South Korea. The feature tracks blood oxygen drops ...
The Conversation

Deepfake detection improves when using algorithms that are more aware of demographic diversity

Deepfakes – essentially putting words in someone else’s mouth in a very believable way – are becoming more sophisticated by the day and increasingly hard to spot. Recent examples of deepfakes include ...
US Geological Survey

Cloud detection algorithm comparison and validation for operational Landsat data products

Authors Steven Curtis Foga, Pat Scaramuzza, Song Guo, Zhe Zhu, Ronald Dilley, Tim Beckmann, Gail L. Schmidt, John L. Dwyer, MJ Hughes, Brady Laue ...
Medical Xpress

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

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 ...
techtarget

What is anomaly detection? An overview and explanation

Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. An anomaly is anything that deviates from what is standard or expected. Humans and ...