For humans, identifying items in a scene — whether that’s an avocado or an Aventador, a pile of mashed potatoes or an alien mothership — is as simple as looking at them. But for artificial ...
Researchers adapted a well-known computer-vision algorithm used for sharpening photos and, for the first time, applied it to astronomical images from ground-based telescopes. While astrophysicists ...
In 2019 we got the first-ever direct image of a black hole, which resembled a fuzzy, orange donut. Now, the team has refined the iconic image with the help of machine learning algorithms to produce ...
YouTube on MSN
4 algorithms we borrowed from nature
We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...
In a nutshell: Stable Diffusion is a phenomenal example of how much a picture is worth more than a thousand words. In fact, by cutting the image-generation text prompt altogether, the visual AI could ...
Why it matters: The creative industry needs a constant flux of content to keep fans happy, and that content needs to be created somehow. When it comes to 3D models, AI algorithms could provide a big ...
In recent months, strange collages have been popping up on Twitter feeds featuring improbable and occasionally gruesome images that each represent some kind of farcical prompt. Examples include “the ...
Hosted on MSN
Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms
This article was originally published at The Conversation. The publication contributed the article to Space.com's Expert Voices: Op-Ed & Insights. Professional astronomers don’t make discoveries by ...
Magnetic resonance imaging (MRI) is a popular imaging modality in preclinical research because it delivers multiparametric information on tissues and organs in a noninvasive manner. The small ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results