Abstract: This paper proposes and demonstrates an arbitrarily tunable multi-frequency pulse modulation scheme based on an active fiber loop, which effectively suppresses the interference fading effect ...
It looks like a cute little dolphin-themed toy, but the Flipper Zero is a surprisingly powerful learning tool for hacking. Here's how I mastered mine—and how you can, too.
The FDA approved Cleveland Diagnostics' blood-based test to help diagnose high-grade prostate tumors and aid in biopsy decisions, the company announced. Dubbed IsoPSA, the in vitro diagnostic kit is ...
On World Cancer Day, attention is turning to a world-first trial showing that artificial intelligence is helping doctors identify more cases of breast cancer during routine screenings. Researchers in ...
Researchers at UMass Lowell have uncovered an innovative way to spot Alzheimer’s disease long before the first official diagnosis. By using machine learning to analyze clinical notes in electronic ...
Smartwatches with both PPG and ECG functionality improve the detection of atrial fibrillation in comparison with standard care. Researchers from Amsterdam UMC have analyzed the data from 437 patients ...
NEW YORK THRU SUNDAY. ALISON KOSIK ABC NEWS NEW YORK ARKANSAS STATE TROOPERS ARE DEPLOYING A NEW FORM OF CAMERA TECHNOLOGY. THE GOAL -- CATCH DRIVERS USING CELL PHONES IN WORK ZONES. THEY SAY WORK ...
LAS VEGAS (KTNV) — The time it takes to get to and from Harry Reid International Airport could be a little quicker with a new option for travelers: the Vegas Loop. If you're not familiar, the Vegas ...
Two University of Arizona researchers have been working on a wearable healthcare device using artificial intelligence to detect subtle warning signs of frailty in elderly patients, marking a step ...
Researchers have successfully trained a new AI foundation model capable of predicting medical conditions using Apple Watch data, achieving high accuracy even when that data is incomplete or irregular.
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 ...