OpenAI says it’s getting serious about AI detection and labeling

OpenAI is announcing updates today that aim to make it easier for people to identify when online content has been generated ...

Hybrid projector delivers super-resolution images across extended depth with 16-fold gain

Researchers at the University of California, Los Angeles (UCLA) have developed a novel image projection system that delivers ...
IEEE

FastSAM-CD: Remote Sensing Image Change Detection Using Vision Foundation Models With Stronger Encoder and Decoder

Abstract: Remote sensing image change detection (RSICD) is a crucial technique for Earth observation. However, the mainstream RSICD methods still face two main challenges. First, the encoding stage ...
People

Trump Posts New AI Image of Him and Jesus Touching Heads After Backlash for Depicting Himself as Christ: 'I Think It's Quite Nice'

The comparisons of himself to Jesus come as Trump openly feuds with Pope Leo XIV and has angered some Christian supporters over the war with Iran Irish for Trump/X.com via Donald Trump/Truth Social; ...
The New York Times

These Tools Say They Can Spot A.I. Fakes. Do They Really Work?

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.
GitHub

A Go library and CLI tool to encode/decode WebP images without system dependencies (CGO).

There are a couple of libraries to encode WebP images in Go, and even though they do the job well, they have one limitation that don't satisfy my needs: they depend on libraries to be installed on the ...
ascopubs.org

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...
IEEE

Decoder-Only Image Registration

Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...