A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...
A growing body of peer-reviewed research is giving scientists new tools to isolate the distinct climate signals left behind by volcanic mega-eruptions and extreme wildfires, two forces that can alter ...
A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...
An AI-powered toolkit automatically extracts and quantifies microstructural features from microscopy images, accelerating ...
A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...
In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...
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 ...
Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...