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 ...

Technology companies have been “running real-time, unregulated product testing on Australians” for too long, communications minister says. By Laura Chung Reporting from Sydney, Australia The ...

Teenagers want a greater voice in the design and governance of platforms such as TikTok, Instagram and YouTube, according to new research led by University College Dublin. Rather than passive victims ...

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 ...

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, ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

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 ...

I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. Most scientific algorithms live in MATLAB - image processing and analysis, machine learning ...

“If I could change one thing about my organization’s segmentation approach, it would definitely be to further automate and integrate our segmentation tools and processes. By leveraging automation and ...