Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
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Making simulations more accurate than ever with deep learning
Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A ...
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Quantum machine learning nears practicality as partial error correction reduces hardware demands
Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.
In a recent study published in the journal Informatics, researchers investigated the use of advanced machine learning methods to recognize facial expressions as indicators of health deterioration in ...
Researchers developed an AI solution to discover undiagnosed Alzheimer's disease, addressing disparities in healthcare access ...
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