For their study, the researchers used some of the benchmark machine learning datasets: one was for digit classification, another for classifying chest X-rays, and one for classifying images of birds.

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron ...

Machine learning allows us to discover these novel phylogenetic traits.” The researchers plan to enhance their model's accuracy and adaptability by expanding the sample size of images used for ...

In machine learning problems where supervised learning might be a good fit but there’s a lack of quality data available, semi-supervised learning offers a potential solution.

This works for tasks such as classifying images but fails on sequential data such as text. A machine learning model that processes text must not only compute every word but also take into ...

A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...

Models trained on them suffer from “overinterpretation,” a phenomenon where they classify with high confidence images lacking in so much detail that they’re meaningless to humans.

Microscopists often wish – and intuit – that the microstructures that they measure correlate somehow to bulk properties. However, this correlation can be hard to measure.. Machine learning, in ...