A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...
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Machine learning identifies factors that may determine the age of onset of Huntington's disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
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