Ziman said that the larger problem, echoed in a series of interviews discussed in the paper, is the way inaccurate imagery ...

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...

Learn about ChatGPT 5’s groundbreaking innovations, from unified AI design to its impact on industries, education, and mental ...

From better models to new text and image features, here's everything new with Apple Intelligence on iPhone, iPad, Mac, Apple ...

Tucked in the Trump administration’s sweeping AI action plan announced Wednesday is a recommendation that tech companies with ...

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

In today’s world, accurately understanding and interpreting emotions in human-computer interaction is important. In this context, this study has adopted a detailed approach to the emotion recognition ...

Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data augmentation such ...

A hacker for the cartel was able to use surveillance cameras to help track down and kill the informants in 2018, the U.S. said.