Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

The rapid evolution of large language models is transforming industries, catalyzing advances in content generation, search, ...

The Florida government is ridding the Everglades of invasive pythons by allowing fashion brans to turn them into luxury accessories. Inverse Leathers Shopping will now save the planet. Florida ...

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Pipeline 1 (VAE - Scenario Generation): •⁠ ⁠Input: ⁠ macro_features.csv ⁠ (FRED + Market) •⁠ ⁠Purpose: Generate stress test scenarios •⁠ ⁠Shape ...

YouTube says its technology could help famous people manage AI content with their face in it ‘at scale.’ YouTube says its technology could help famous people manage AI content with their face in it ...

YouTube revealed on Tuesday that its likeness-detection technology has officially rolled out to eligible creators in the YouTube Partner Program, following a pilot phase. The technology allows ...

AI content has proliferated across the Internet over the past few years, but those early confabulations with mutated hands have evolved into synthetic images and videos that can be hard to ...

Scottie Barnes landed at No. 14 on FanSided's 25-under-25 NBA Player Rankings this season, ranking the best young players in the NBA. Check out the rest of the list here. Describing Scottie Barnes as ...

HARTFORD, Conn. (WTNH) — The Connecticut Department of Transportation is celebrating a significant safety milestone — 200 wrong-way detection systems have been installed on the state’s highways. When ...

DeePFAS, a novel deep-learning model, streamlines large-scale non-targeted screening of "forever chemicals" (PFAS) by projecting raw MS2 spectra into a latent space of chemical features, offering a ...