Edex Live on MSN

Indian banks accelerating AI adoption for financial crime compliance: Report

The Indian banks are rapidly integrating machine learning models into Financial Crime Compliance (FCC) operations amid rising ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...
IEEE

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach

Abstract: This research proposes a lightweight hybrid approach for anomaly detection in correlated IoT sensor data, combining PCA for fast monitoring and Autoencoders for deeper analysis. Validated on ...
Devdiscourse

Fog computing can transform remote patient care with real-time AI detection

Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...
GEN - Genetic Engineering and Biotechnology News

AI “Smoke Alarm” Could Detect Culture Contamination Earlier

Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.
XDA Developers on MSN

It's easy to train your own image classification model with an ESP32, and I did it in five minutes

Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...
IEEE

Anomaly Detection for GOOSE Spoofing Attacks in Digital Substations Using Deep Learning Models: A DNN and LSTM Approach

Abstract: Digital substations have significantly increased the accuracy of power grid operations thus advancing high efficiency and reliability in grid operations. While this advancement has brought ...