BIOENGINEER

New algorithm HitSV sharpens structural variant detection across sequencing technologies

The challenge of structural variant detection stems from a fundamental tension in modern genomics: the technologies that make ...
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 ...
BIOENGINEER

One Algorithm, Four Worlds: The Cross-Domain AI Map That Could Reshape Connected Systems

A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer ...
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 ...