In the case of flooding, human remains may be tangled among vegetation and debris. Therefore, a system could identify clumps ...

Zero-knowledge proofs add a crucial integrity layer to AI moderation, enabling companies to verify decisions without exposing sensitive data or proprietary models, says Ismael Hishon-Rezaizadeh, CEO & ...

The ideal solution is an AI system that scans the entire image, prioritises images that have the strongest signs of victims, ...

Recent successes in applying computer vision and machine learning to drone imagery for rapidly determining building and road ...

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

AI vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

We take a deep dive into the inner workings of the wildly popular AI chatbot, ChatGPT. If you want to know how its generative ...

A Caltech-led team has developed a safe, effective, and painless breast imaging technique that incorporates machine learning ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike seeing an image of a star in a telescope, saying anything at all about the ...

Recent advances in artificial intelligence have significantly improved spectral data analysis. In this study, we used unsupervised machine learning to classify chemical compounds based on infrared (IR ...

This study introduces an ensemble classification framework to detect and grade diabetic retinopathy into 5 classes leveraging the concepts of transfer learning and data fusion. It utilizes three ...