Heat wave predictions months in advance with machine learning

With heat waves among Europe's deadliest climate hazards, a team of scientists led by CMCC has developed a prediction system capable of providing helpful information four to seven weeks before summer, ...
AZoRobotics on MSN

AI Helps Scientists Pinpoint Where Groundwater is No Longer Safe in India

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...
IEEE

Research on High-Speed Electric Spindle Thermal Error Modeling Based on Stacking Ensemble Learning Method

Abstract: Spindle thermal error is a significant factor affecting the machining accuracy of CNC machine tools. This study addresses the limitations of single thermal ...
New Electronics

Alif Semiconductor providing support for ExecuTorch Runtime in Ensemble MCUs

Alif Semiconductor, a supplier of Artificial Intelligence and Machine Learning (AI/ML) microcontrollers (MCUs) and fusion ...

Alif Semiconductor elevates generative AI at the edge with new support for ExecuTorch Runtime in its Ensemble MCUs

Alif Semiconductor®, the leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine ...

Explainable AI Market Will Reach $34.6 Billion by 2033 - Interview Kickstart's Adds XAI Specialization to Machine Learning Course

SANTA CLARA, CA - October 30, 2025 - - The global demand for Explainable AI (XAI) is accelerating as organizations seek ...

Lantern Pharma to Present AI-Driven Cancer Drug Development & Research Platforms at Inaugural AI for Biology and Medicine Symposium at UNT

DALLAS--Lantern Pharma to Present AI-Driven Cancer Drug Development & Research Platforms at Inaugural AI for Biology and ...

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

Transformer and RF Ensemble Learning to Solve Large-Scale Security Constrained Unit Commitment

Abstract: This paper focuses on the security constraint unit commitment (SCUC) problem in large-scale power systems and proposes a Transformer and random forest (RF) ensemble learning method to solve ...