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

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

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

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 ...

Foreign exchange markets are shaped by liquidity fluctuations, which can trigger return volatility and price jumps. Identifying and predicting abnormal FX returns is critical for risk management and ...

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 ...

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 ...