Patented Algorithm Designed to Help Identify Otherwise Dangerous Prostate Tumors Earlier Using Repeat Blood Test Results Licensing Agreement Expands 20/20 BioLabs’ AI-Enabled Multi-Cancer Early ...
The Arkodim company specified that the neural network analysis and tracking algorithms calculate ballistics and ensure reliable target tracking even during brief loss of visual contact ...
New digital screening: Hospitals are piloting a quick, sensor-equipped cognitive exam that uses AI to detect early Alzheimer’s indicators. Genetics and risk: Genetic testing for APOE variants can help ...
Firefly Aerospace Subsidiary SciTec Awarded AFRL Contract for Advanced Algorithm R&D and Verification Architecture ...
BioMedWire Editorial Coverage: The ability to accurately detect drug and alcohol intoxication has long been a persistent challenge across industries, from law enforcement and workplace safety to ...
Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Barksdale Federal Credit Union has selected its platform to enhance origination fraud and anomaly detection to ...
Abstract: Object detection technology for UAV images holds significant importance in various fields. However, many existing object detection algorithms suffer from limited detection accuracy, along ...
Detection is only half the story. Lynote.ai also offers one of the most sophisticated AI humanizer tools available today — ...
Abstract: In recent years, Artificial Intelligence for IT Operations (AIOps) has gained popularity as a solution to various challenges in IT operations, particularly in anomaly detection. Although ...
Researchers at the Department of Energy's Oak Ridge National Laboratory (ORNL) have developed a tool condition monitoring ...
Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.
Researchers are studying a machine learning-powered warning system for breast cancer. It works by detecting subtle changes in a mammogram that humans can't spot, but could soon become cancer.