A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

The Datrix Group martech company is among the organizations selected globally in the BI and Advanced Analytics category MILAN, IT / ACCESS Newswire / February 24, 2026 / Bytek, a Datrix martech ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

A machine learning (ML) model might retrain or drift between quarterly operational syncs. This means that, by the time an issue is discovered, hundreds of bad decisions could already have been made.

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...

ADM, Evolving Systems’ big data platform, securely stores and analyzes massive telecom data, from billing to network reports, providing the foundation for AIQ’s predictive insights. Together, ADM and ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Radio spectrum is pricey. Operators drop billions at auction to lock down licensed frequency bands, and every single frequency counts. Dynamic Spectrum Sharing (DSS) was built to address exactly this, ...