The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

MIT researchers have created a periodic table that orders AI algorithms based on the properties they share with a mathematical framework known as information contrastive learning ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

the refined features were supplied into two supervised machine learning models in parallel; testing which framework achieved the highest classification accuracy when discriminating amongst control and ...

Abstract: Hyperspectral images (HSIs) offer exceptional precision ... and the results demonstrate that the proposed algorithm outperforms state-of-art methods in classification accuracy.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these ...

Concerns about AI's energy use have a lot of people looking into ways to cut down on its power requirements. Many of these ...

It is crucial to develop effective lung cancer classification algorithms to achieve accurate ... instance locations within the entire lung images. The second step was nodule malignancy prediction.