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Leaked CAD images show Meat Quest 3 and its technical characteristics

Leaked CAD images show Meat Quest 3 and its technical characteristics

Image: SadlyitsBradley The article can only be viewed with JavaScript enabled. Please enable JavaScript in your browser and reload the page. We’ve got the first solid leaks on Meta Quest 3’s design and tech, and they’ve got a few surprises in store. The leaks once again come from hardware analyst Bradley Lynch, who has already …

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Citing copyright concerns, Getty Images bans AI-generated content

Citing copyright concerns, Getty Images bans AI-generated content

A DALL-E 2 generated image based on the text prompt “1960s art of a cow abducted by a UFO in the Midwest” (image by Encik Tekateki via Wikimedia Commons) With a new world of visual potential recently opened up by artificial intelligence (AI) image generators such as DALL-E and Halfway through, there is also a …

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Electronic comparison of MRI brain images accurately determines biological age – Neuroscience News

Summary: By using artificial neural networks to analyze neuroimaging data, researchers are able to accurately determine biological age. Source: Max Planck Society A person’s biological age can be accurately determined from brain images using the latest AI technology, called artificial neural networks. Until now, however, it was unclear what characteristics these networks used to infer …

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Afraid of copyright issues, Getty Images bans AI-generated artwork

Afraid of copyright issues, Getty Images bans AI-generated artwork

Enlarge / A selection of crossed out stable broadcast images. Ars-Technica Getty Images has banned the sale of generative AI artwork created using image synthesis models such as Stable Diffusion, DALL-E 2 and Midjourney through its service, reports The Verge. To clarify the new policy, The Verge spoke with Getty Images CEO Craig Peters. “There …

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Do Trucks Mean Trump?  AI shows how humans misjudge images

Do Trucks Mean Trump? AI shows how humans misjudge images

Credit: Unsplash/CC0 public domain A study of the types of errors humans make when evaluating images can activate computer algorithms that help us make better decisions about visual information, such as when reading an x-ray or online content moderation. Researchers from Cornell and partner institutions analyzed more than 16 million human predictions of whether a …

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