Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

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 ...

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

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

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 ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

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 ...