Abstract: Ensuring robust performance of deep learning models across diverse target environments is a critical aspect of AI model development. However, acquiring a large variety and volume of ...

The state of the art in human-centric computer vision achieves high accuracy and robustness across a diverse range of tasks. The most effective models in this domain have billions of parameters, thus ...

Microsoft-owned social networking site LinkedIn will soon start using the data of its users to train its AI models, reports Windows Latest. The platform has sent out emails to users about the change, ...

Cybersecurity researchers have disclosed two security flaws in Wondershare RepairIt that exposed private user data and potentially exposed the system to artificial intelligence (AI) model tampering ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

You can choose to opt out. You can choose to opt out. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in CNBC, MIT Technology Review, Wired ...

Abstract: Training fair machine learning models becomes more and more important. As many powerful models are trained by collaboration among multiple parties, each holding some sensitive data, it is ...

Organizations today are rushing to adopt AI without fully appreciating the profound cybersecurity risks involved. The reality is stark: accidental data leaks, sophisticated adversarial attacks, and ...

LGND AI Inc. has raised $9 million in funding to enhance its namesake cloud platform, which helps artificial intelligence models process satellite images. The startup announced the seed round on ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.