Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Sony IMX678 STARVIS™ 2 Color Sensor | Up to 120+ dB HDR Imaging | LED Flicker Mitigation | Low-Light Performance | ...

We ventured into dangerous waters for some underwater metal detecting, but what we didn’t expect was to be surrounded by crocodiles and a massive python. This video takes you into the wild, where we ...

Congenital heart defects (CHDs) are among the most common birth defects, affecting nearly 1 in 100 babies born in the U.S. Yet despite advances in prenatal imaging, CHD remains one of the most ...

Abstract: Defect of insulators and vibration dampers on power transmission lines would affect the normal operation of power transmission. Defect detection of insulators and dampers always relies on ...

Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate ...

Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

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 ...

Obstetricians at Mount Sinai were the first in New York City to use an artificial intelligence tool that can lead to early detection of congenital heart defects in fetuses. Doctors in the Raquel and ...