EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

The advent of modern remote sensors alongside the development of advanced parallel computing has significantly transformed both the theoretical and real implementation aspects of remote sensing.

AI is revolutionizing flood victim searches by rapidly scanning drone imagery to pinpoint debris that may hide bodies, ...

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 ...

Over the past years, computer scientists have introduced increasingly sophisticated generative AI models that can produce ...

A Caltech-led team has developed a safe, effective, and painless breast imaging technique that incorporates machine learning to help differentiate between suspicious and healthy tissue. The method has ...

In this paper, we propose a new method for CT pathological image analysis of brain and chest to extract image features and classify images. Because the deep neural network needs a large number of ...