Every time you get sick, your body keeps a record of it. It does so through your immune system, a vast army of cells that mobilizes to fight off diseases. And after the infection is over — if it’s ...

Global Mapper v26.1 introduces AI-powered deep learning enhancements, improved point cloud processing, and streamlined user tools.

Is ML Useful In Integration? You may (still) be wondering whether any of this stuff is actually useful in real-world ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

It's called "woody breast" and for consumers it can mean a chewier chicken sandwich, but for the industry it can mean up to ...

University of Adelaide researchers have identified a new approach for endometriosis classification, believed to be the first ...

One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...

Explore how IBM’s approach to AI development differs from its competitors. Learn why the company is winning the enterprise AI market in 2025.

In this work, we present a machine learning based approach to support ecological monitoring, with a focus on glaciers. Our approach is based on semi-automated mapping from satellite images. Commercial ...

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However, due to the tissue heterogeneity, traditional machine learning algorithms often fail to provide ... We build a large Multiplex IHC Histopathological Image Classification (MIHIC) dataset for ...

This review presents a unified, efficient model of random decision forests which can be applied to a number of machine learning, computer vision, and medical image analysis tasks. Our model extends ...