Nature

A deep learning approach for semantic segmentation of unbalanced data in electron tomography of catalytic materials

In computed TEM tomography, image segmentation represents one of the most basic tasks with implications not only for 3D volume visualization, but more importantly for quantitative 3D analysis. In case ...
Nature

A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response

The growth of IoT networks has led to significant security issues, especially in areas of real-time threat detection and response. This research paper presents a hybrid deep learning and semantic ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
Opinion
Database Trends and ApplicationsOpinion

IBM Offers Variety of Semantic AI Updates to IBM Db2

IBM is introducing a variety of AI tools to IBM SQL Data Insights Pro (SQL DI Pro), generally available as of March 2026, offering semantic search, similarity discovery, anomaly detection, and unified ...