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 ...
The Debrief

No Sample-Return Required? Scientists Demonstrate Extraterrestrial Biosignature Detection Method Using the Mars Rover’s Existing Instruments

A new mineral-based biosignature detection method could identify signs of life on Mars using the Perseverance Rover's ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
The Conversation

Can scientists detect life without knowing what it looks like? Research using machine learning offers a new way

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...
Technology Networks

Machine Learning Improves Detection of Harmful Water Toxins

Researchers have combined machine learning with portable biosensors to accurately detect a dangerous cyanobacterial toxin ...
InsuranceNewsNet

Researchers at University Gadjah Mada Report Research in Machine Learning (Landscape of Machine Learning for Health Insurance Fraud Detection: Global Evidence and Lessons for ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Researchers detail new data in artificial intelligence. According to news originating from Yogyakarta, Indonesia, by NewsRx ...
Medical Dialogues

Volatilomic Diagnostics Demonstrate Promise for Inflammatory Oral Disease Detection, finds study

Despite variable validation performance across different disease categories and limited discriminatory ability for early ...
Directions Magazine

Machine Learning in Gis

Machine learning in GIS gives a Geographic information system the ability to detect patterns, classify features, and support faster decision-making from geographic data and information. In practice, ...