In materials science, substances are often classified based on defining factors such as their elemental composition or crystalline structure. This classification is crucial for advances in materials ...

A recent study published in Engineering utilized machine learning to identify distinct clusters of chronic obstructive pulmonary disease (COPD) patients in China, highlighting how comorbidity profiles ...

Using machine learning technology, a new study has identified three distinct profiles describing social and economic factors that are associated with a higher risk of suicide. Scientists at Weill ...

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Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...