A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than ...

With Raman spectroscopy, low-level methane detection in Y-grade products is achieved swiftly, improving operational ...

This study applies Long Short-Term Memory (LSTM) networks to forecast discharge at Neeleshwaram station, Periyar, Kerala, India. Using 18 years of data, exploratory analysis and feature engineering ...

This paper introduces a novel and cost-effective deep learning solution for forecasting shortterm ... and contour analysis, the developed pipeline accurately identifies cloud regions in images and ...

From an orbit 36,000 km from Earth, the Meteosat Third Generation Sounder satellite (MTG-S) is set to revolutionize the way ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool ...

Scientists found that neural networks cannot yet forecast 'gray swan' weather events, which might not appear in existing training data but could still happen -- like 200-year floods or massive ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods.

Neurodegenerative diseases like Alzheimer's are a growing concern in the U.S., with over 7 million Americans living with ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...