EurekAlert!

Attention detection using EEG signals and machine learning: A review

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

PanGIA Biotech Announces Peer-Reviewed Study in Diagnostics Showing 97.8% Sensitivity in Detecting Prostate Cancer Using a Urine-Based Liquid Biopsy with Mac…

PanGIA Biotech, Inc. ("PanGIA") announced a peer-reviewed clinical study published in Diagnostics, "Urine-Based Machine ...
Technology Networks

Machine Learning Model Predicts Liver Cancer Risk Using Routine Clinical Data

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Shooter Detection Systems Introduces SDS Perimeter, Bringing Proven Gunshot Detection Expertise to Outdoor Environments

Shooter Detection Systems (SDS), an Alarm.com (NASDAQ: ALRM) company and leading provider of gunshot detection solutions, today announced that its SDS Perimeter Outdoor Gunshot Detection System is now ...

Janmejaya Mishra’s Work Highlights The Expanding Role Of AI And Machine Learning In Predictive Intelligence Systems

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...

Using Machine Learning Data to Achieve Sustainability, Performance and Governance Goals

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.
Devdiscourse

Quantum vs classical AI: Traditional models still lead in phishing detection

Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...