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 ...

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 ...

Object detection in snowy weather poses significant challenges due to degraded image quality and obscured features. This paper introduces a unified detection framework that integrates image ...

Many carbon-rich meteorites contain ingredients commonly found in life, but no evidence of life itself. James St. John, CC BY When NASA scientists opened the sample return canister from the OSIRIS-REx ...