Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused and practical technical answers.Det ...

Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems.

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.

Know your machines The broad conclusion of the study is that humans are pretty adept at deciphering adversarial images, even from a machine learning model’s point of view.

Researchers have developed a powerful new computer program called Morpheus that can analyze astronomical image data pixel by pixel to identify and classify all of the galaxies and stars in large ...

Machine learning used to classify fossils of extinct pollen Peer-Reviewed Publication Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign image: ...

In the current study, we aimed to create a human-annotated data set of abstracts on cancer susceptibility genes and develop a machine learning–based NLP approach to classify abstracts as relevant to ...