The Very Large Telescope's SPHERE instrument captured unprecedented images of 51 dusty rings shaping young planetary systems.

Researchers suggest that this dataset could significantly accelerate innovation in AI-based diagnostics for blood disorders.

Earlier this week, MIT permanently pulled its 80 Million Tiny Images dataset—a popular image database used to train machine learning systems to identify people and objects in an environment. The ...

Getty Images is going all in to establish itself as a trusted data partner. The creative company, known for enabling the sharing, discovery and purchase of visual content from global photographers and ...

MRI with a 15-channel dental coil detects bone invasion with superior accuracy in patients with head and neck cancer, a ...

Astronomers have long debated the role of galaxy mergers in powering active supermassive black holes. Now an unprecedented dataset of a million galaxies from the Euclid telescope provides evidence ...

The Massachusetts Institute of Technology permanently took down its 80 Million Tiny Images dataset—a popular image database used to train machine learning systems to identify people and objects in an ...

New York (CNN) — More than a thousand images of child sexual abuse material were found in a massive public dataset used to train popular AI image-generating models, Stanford Internet Observatory ...

Agricultural producers and manufacturers often need information about crop attributes, from nutrient content to chemical composition, to make management decisions. In recent years, multispectral ...