87% of Creators Now Use AI — How the Technology Is Reshaping Creative Workflows

The creator economy is undergoing its most significant transformation since the rise of digital video. Artificial ...
IEEE

Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images

Abstract: Synthetic data offers a compelling solution to the challenges associated with acquiring high-quality medical data, which is often constrained by privacy concerns and limited accessibility.
Houston Chronicle

China beats US to releasing photos of strange comet by Mars

China has outpaced the United States in releasing the first images of the rare interstellar comet 3I/ATLAS as it made its close approach to Mars. The China National Space Administration (CNSA) ...
IEEE

In-Distribution Public Data Synthesis With Diffusion Models for Differentially Private Image Classification

Abstract: To alleviate the utility degradation of deep learning image classification with differential privacy (DP), employing extra public data or pre-trained models has been widely explored.
Microsoft

In-country data processing: Countries and timeline

This offer is designed to enable customers, particularly those in government and highly regulated industries, to access Microsoft 365 Copilot with an additional option for governance, security, and ...
Nature

Ethically sourced image data set encourages fairness in AI research

Walter J. Scheirer is in the Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA. Like many areas of artificial intelligence, breakthrough ...
Nature

Images for AI use can be sourced responsibly

It’s a truth almost universally acknowledged that widely used generative artificial-intelligence applications were built with data collected from the Internet. This was done, for the most part, ...