From LVMH's internal AI factory to a new generation of venture-backed startups rewriting how clothes are designed, discovered, and sold, artificial intelligence is no longer a side experiment in ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment and ...

Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While ...

Apple researchers have developed a new way to train AI models for image captioning that delivers accurate descriptions while ...

The new release of Forescout's 4D platform uses a zone modeling approach to group devices, relying on device identity rather than network location.

In a major step toward more adaptable and intuitive machines, Kempner Institute Investigator Yilun Du and his collaborators have unveiled a new kind of artificial intelligence system that lets robots ...

Ophthalmology pioneered the clinical use of artificial intelligence (AI). Beyond automating routine tasks, including retinal disease screening via fundus photography and optical coherence tomography ...

How does the brain see the "big picture"? A new study reveals that the primary visual cortex (V1) calculates statistical ...

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a significant obstacle in transferring research datasets to actual clinical settings.

Image-2, a text-to-image model ranking third on the Arena leaderboard, but daily caps and square-only output limit its appeal.

Keeping up with artificial intelligence can feel like a full-time job these days, right? There’s always something ...