Attackers exploit blind spots, noise, and delay. Only deep observability exposes them in time.

BETHESDA, Md., Jan. 12, 2026 (GLOBE NEWSWIRE) -- DigitalNet.ai today announced the appointment of Gracie Pereira as Executive ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

Abstract: Web apps are frequently targeted by cyber-attacks due to their network access and security flaws. Instances of attacks targeting online applications might pose significant risks. The issue ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

Deep learning has emerged as a transformative tool for the automated detection and classification of seizure events from intracranial EEG (iEEG) recordings. In this review, we synthesize recent ...

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...

Chinese researchers have developed an artificial intelligence system designed to detect submarines, South China Morning Post reported. According to the media, the technology could reduce the chances ...