AI is advancing the software development sector helping businesses in 2026 to refine their software strategies and stay competitive. Businesses collaborating with professional AI-driven software ...
MOSCOW, December 24. /TASS/. Russia’s student startup DronOko (DroneEye) has developed a computer vision technology for unmanned aircraft systems (UAS), which enables real-time data processing and ...
Abstract: The consumption of image data by machines is rapidly increasing due to the growing adoption of image recognition technologies. This trend has accelerated research in image compression ...
AI Image Recognition Advances: Detecting Meteors in Perseids Shower and Andromeda Galaxy Photography
According to @ai_darpa, a long-exposure photograph from 2016 captured a meteor from the Perseids shower streaking through the frame of the Andromeda galaxy, highlighting a unique opportunity for ...
GRANTS PASS, Ore — Wildlife Images executive director Dave Siddon is no stranger to the Sunrise studio, and he always brings a friend or two along with him when he visits. This morning was no ...
AI tools like Google’s Veo 3 and Runway can now create strikingly realistic video. WSJ’s Joanna Stern and Jarrard Cole put them to the test in a film made almost entirely with AI. Watch the film and ...
Meta Platforms META2.30%increase; green up pointing triangle is developing a new image and video-focused AI model code-named Mango alongside the company’s next text-based large language model. Meta’s ...
This project uses the OpenALPR pre-compiled 64-bit binaries for Windows for license plate recognition and evaluation. OpenALPR source:https://github.com/openalpr ...
A novel artificial intelligence tool funded by the U.S. Defense Advanced Research Projects Agency (DARPA) may offer a surprising new form of digital camouflage in a world increasingly monitored by ...
We release Qwen3-Omni, the natively end-to-end multilingual omni-modal foundation models. It is designed to process diverse inputs including text, images, audio, and video, while delivering real-time ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results