Nature

Community Detection Algorithms in Complex Networks

Complex networks arise in domains as diverse as social systems, biology, infrastructure and information technology. Community detection algorithms seek to reveal mesoscopic organisation by grouping ...
FedScoop

CBP still working toward anomaly detection algorithms at the border

Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...
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 ...
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 ...