The second version of Microsoft’s in-house image model lands at #3 on Arena.ai’s leaderboard, behind only Google and OpenAI, and begins rolling out across Copilot and Bing Image Creator today. A year ...

In a survey study of U.S. teens, more than half (55.3%) reported that they had created at least one image using nudification tools, which use generative artificial intelligence (GenAI) to show what an ...

A new study suggests that teen girls use so-called nudification apps at the same rate as teen boys. The artificial ...

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Can Canada own the AI industry it helped invent? A new report explores AI sovereignty and the roadmap to changing our ...

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...