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Capital One’s new study reveals challenges, concerns and opportunities for companies using machine learning to improve business performance.Read More

A common denominator among all generative AI architectures is the use of a method known as the diffusion model, which takes inspiration from the physical process of gas molecule diffusion.Read More

Your anti-malware software may not work if you upgraded to the new operating system. But Apple says a fix is on the way.

The suspected Chinese influence operation had limited success. But it signals a growing threat from a new disinformation adversary.

People with Android phones got a notification that a trembler was about to rock Silicon Valley. WIRED looks at the tech behind that feat.

Telescopes around the world are capturing photons from the blast, and researchers anticipate exciting discoveries ahead.

The Defender Guard Pro stores your footage locally and delivers clear video—and you can do it all on a budget.

New research from Carnegie Mellon University’s Robotics Institute can help robots feel layers of cloth rather than relying on computer vision tools to only see it. The work could allow robots to assist people with household tasks like folding laundry.

The oddly satisfying small domes that you press on your soda’s to-go cup lid may one day save a winged drone from a nosedive.

Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. For instance, GANs have been successfully used to generate image datasets to train other deep learning algorithms, to generate videos or animations for …

Read more “T2CI GAN: A deep learning model that generates compressed images from text”