The AI Paradox: Why World-Class Algorithms Fail On Second-Class Data

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

AI tool reveals rare cancer cells tied to faster disease progression

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...
IEEE

Relative-Absolute Fusion: Rethinking Feature Extraction in Image-Based Iterative Method Selection for Solving Sparse Linear Systems

Abstract: Iterative method selection is crucial for solving sparse linear systems because these methods inherently lack robustness. Though image-based selection approaches have shown promise, their ...
IEEE

Targeted Black-Box Adversarial Example Generation Method Using Multi-Layer Heatmap Mapping for Industrial IoT

Abstract: Deep learning-based image classification models have been widely applied in the Industrial Internet of Things (IIoT), but studies have shown that adversarial attacks can cause ...