Read Lones’s full paper, titled, “How to avoid machine learning pitfalls: a guide for academic researchers,” for more details about common mistakes in the ML research and development process.

This project's goal was the classification of road types across all of Michigan. Machine learning models were used to classify multi-spectral, multi-resolution imagery of Michigan land to pick out and ...

On February 14, a researcher who was frustrated with reproducing the results of a machine learning research paper opened up a Reddit account under the username ContributionSecure14 and posted the ...

An implementation of even a relatively simple machine learning algorithm required days of reading scientific papers, research and coding.

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems, as its research papers accepted by a major AI conference demonstrate.

From deepfakes to natural language processing and more, the open source world is ripe with projects to support software development on the frontiers of artificial intelligence and machine learning.

Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

The Department of Homeland Security is seeking cloud-related information to support an analytics and machine learning research and development project that’s in the works for the Cybersecurity and ...