For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

Researchers at Guilin University of Electronic Technology in China have developed a new vision-integrated prosthetic system ...

SHERLOCK, a rapid CRISPR-based diagnostic, detects Candida auris and antifungal resistance mutations in patient samples in under an hour.

Infection with the pathogenic yeast fungus Candida auris (C. auris) can wreak havoc on the health of hospital patients and ...

Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...