In order to understand the structure and functioning of the brain, neuroscientists need to study the complex, ...

The primary challenge in satellite laser downlinks is atmospheric turbulence, which distorts and weakens signals.

A UK team prepared infrastructure to process images from world’s largest digital camera and provide on-demand access to science community across the world.

Microsoft has opened its first AI Co-Innovation Lab dedicated to advanced manufacturing at the University of ...

The National Science Foundation’s Daniel K. Inouye telescope debuted a close-up of the sun captured by its new, ultra-powerful imaging tool. Here’s what you can see.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

In 2020, Smithsonian Open Access released 2.8 million 2D and 3D images and 173 years of staff-created data into the public domain as Creative Commons Zero, meaning the images are free for everyone ...

The team's re-analysis of the Event Horizon Telescope data suggests the accretion disk around the Milky Way's black hole should be more elongated from east to west (Image credit: Miyoshi et al ...

Neural networks have helped physicists grapple with large amounts of complex data, allowing important advances that include making images of black holes and devising materials for new technologies ...

Generative AI, which is technically a first cousin of AI, combines data science and machine learning at its core. To fully leverage this potential, leaders must build teams that understand the ...