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

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

Distorted self-perceptions due to body dysmorphic disorder having people seeking reassurance from ChatGPT, with dangerous results.

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

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

A study suggests that a single brain MRI can be used to predict a person's rate of aging across their whole body, which researchers say could change how we predict and prevent chronic disease.

Next-generation optical inspection is about more than just sensitivity. It’s about reliably seeing through complexity.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can ...

ISSUE: Automated train inspection portals are turning “finders into fixers,” reducing risk exposure, mechanical-caused safety incidents and network disruptions.

Astronomers use algorithms to analyze the numerous images coming from space, but how accurate are they?

To improve the comprehensiveness of hash algorithms, an image hash combining multidimensional features and spatial structure is proposed. Firstly, the multidimensional feature matrix is constructed ...