Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

Forbes contributors publish independent expert analyses and insights. Jesse Damiani covers AI, ClimateTech, and emerging media. Mar 03, 2025, 04:06pm EST Mar 04, 2025, 03:48pm EST Image of Hurricane ...

University of Geneva-led research says machine learning forecasts underestimate intensity, frequency of heat waves, cold ...

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 ...

This study was led by Professor Qi Zhong and Professor Xiuping Yao from the China Meteorological Administration Training Center, and Assistant Engineer Zhicha Zhang from the Zhejiang Meteorological ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

Magnetic resonance imaging (MRI) radiomics as predictor of clinical outcomes to neoadjuvant immunotherapy in patients with muscle invasive bladder cancer undergoing radical cystectomy. This is an ASCO ...

Overview: Machine learning systems analyze massive datasets to identify patterns and automate complex digital decision-making ...

Explore how machine learning is transforming the dairy industry, using AI and data-driven insights to improve efficiency, ...