Researchers integrated a clustering-guided block into convolutional neural networks, reducing concrete crack edge ...

A novel sectional deep learning framework with region normalization improves hepatocellular carcinoma detection and staging ...

A curated list of research on neural (learned) camera image signal processors (ISPs). It covers learned replacements for each stage of the classical pipeline (denoising, demosaicing, white balance, ...

Facebook is the latest social media platform to give users greater control over the algorithm that determines what appears in their feeds. Meta announced the launch of its new AI-powered feature, ...

For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...

Novel Framework: First segmentation paradigm built on a unified multimodal understanding-generation architecture, eliminating task-specific modules. SOTA without Extra Heads: Demonstrates unified ...

A new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts appear in your feed and in which order – shifts users’ political opinions in ...

Abstract: Machine learning algorithm for multi-modal image segmentation is extensively employed in medical analysis and diagnosis. Clustering represents a mainstream approach for image segmentation, ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

In a previous post, I dove into some survey results to explain why segmentation has evolved into a foundational concept for network security. Specifically, I discussed how a dual segmentation approach ...