AI systems will learn bad behavior to meet performance goals, suggest researchers

Two researchers at Stanford University suggest in a new preprint research paper that repeatedly optimizing large language ...

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...
IEEE

Framework for Securing Quality Control Process in Engineering Using IOT based Machine Learning Models

Abstract: The study aims to investigate how combining many technologies may improve the scalability, adaptability, and security of network engineering systems. Some of the technologies that come under ...
The Chosun Ilbo on MSN

LG Chem Leverages AI, Drones for Anomaly Detection

LG Chem is accelerating efforts to enhance customer value by pursuing an "Artificial Intelligence Transformation (AX)" across ...

Using AI to identify at-risk patient groups in emergency room triage systems

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.
IEEE

BCI based EEG Signals classification using Machine Learning Approach

Abstract: this research investigates the effectiveness of classifiers in non-invasive electroencephalogram (EEG) Classification based brain computer interface (BCI) systems. Such systems are crucial ...
The Business & Financial Times on MSN

Predictive analytics in business strategy

The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...