Seasonal climate forecasting is important for societal welfare, as it supports decision-makers in taking proactive steps to mitigate risks from adverse climate conditions or to take advantage of ...

Accurate demand forecasting is essential for informed decision-making in today’s dynamic business environment, where product demand often follows diverse and shifting patterns throughout increasingly ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

FirstQFM, a pioneer in machine learning foundation models for quantum computing, announces a significant milestone in the commercial application of quantum computing today at the ISC High Performance ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

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 ...

Integrated forecasting and supply chain planning platforms can close the gap between forecasting and execution by connecting ...

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 ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...