For object detection in complex dark environments, the existing methods generally have problems such as low detection accuracy, false detection and missed detection. These problems lead to a lack of ...

Clinicians often use a medical test called a 12-lead electrocardiogram (ECG) to diagnose heart problems. It uses electrodes ...

In a real-world study, an AI algorithm increased aneurysm detection on CT scans. Notably, the AI and radiologists had ...

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 ...

A novel actigraphy-based algorithm accurately measured daytime napping behaviors in patients with narcolepsy type 1 and detected changes during treatment with the orexin receptor 2-selective agonists ...

As chronic liver disease can quietly progress from metabolic dysfunction-associated steatotic liver disease to advanced ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Mallika Rao explains that the true complexity ...

The best deepfakes are becoming increasingly difficult -- if not impossible -- to recognize as inauthentic with the naked eye and ear. Consider, for example, the finance employee at a multinational ...

Spread the love“`html Imagine pouring your heart and soul into an essay, spending countless hours researching, drafting, and ...

The immediate leadership implication is straightforward: before approving a new AI product, ask what educational problem it ...