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Machine learning method cuts fraud detection costs by generating accurate labels from imbalanced datasets

Fraud is widespread in the United States and increasingly driven by technology. For example, 93% of credit card fraud now involves remote account access, not physical theft. In 2023, fraud losses ...
News Medical

Study points toward earlier and more accurate detection of ALS

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...
Devdiscourse

Energy-hungry cybersecurity models put climate goals at risk

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
Hosted on MSN

Lightweight framework enables faster, more accurate object detection for UAV remote sensing

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such ...
Healio

AI-trained data models may allow for more rapid, accurate detection of neurologic conditions

Please provide your email address to receive an email when new articles are posted on . There is great potential in using AI-trained data models to detect and specify neurologic conditions. Adding ...
techtimes

Leveraging Machine Learning Algorithms to Combat Fraud in Supply Chain Operations

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
AZoRobotics

Detecting Alzheimer’s Early: Machine Learning’s Role in Neurological Imaging

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...