AI’s Memorization Crisis

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Unite.AI

The Coming Wave of Multimodal Attacks: When AI Tools Become the New Exploit Surface

As large language models (LLMs) evolve into multimodal systems that can handle text, images, voice and code, they’re also becoming powerful orchestrators of external tools and connectors. With this ...
IEEE

Multimodal Feature Fusion Network With Text Difference Enhancement for Remote Sensing Change Detection

Abstract: Although deep learning has advanced remote sensing change detection (RSCD), most methods rely solely on image modality, limiting feature representation, change pattern modeling, and ...
IEEE

Text-Enhanced Multimodal Method for SAR Ship Classification With Geometry and Polarization Information

Abstract: Synthetic aperture radar (SAR) ship classification is crucial for maritime surveillance. Most existing methods primarily focus on visual or polarimetric features, often constrained by a ...