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 ...

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 ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

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

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...