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AZoBuild on MSNMachine Learning Accurately Predicts Strength of Concrete Made with Industrial WasteThe study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.
A research team from Peking University and Peking University Shenzhen Graduate School have used artificial intelligence (AI) ...
Researchers evaluated the relative importance of phenotypic and genetic factors in predicting risk for head and neck cancer.
The gradient boost model achieves the best performance for predicting no-shows and late cancellations in primary care practices.
It’s impossible to ignore the tidal wave of excitement—and hype—surrounding generative AI. This revolutionary technology has ...
12d
Live Science on MSNScientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are madeResearchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...
Forget big data sets and giant models; a new machine learning architecture aces logic puzzles on minuscule training and ...
A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework ...
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