Nature

Two forecasting model selection methods based on time series image feature augmentation

Accurate forecasting of food commodity prices is one of the most challenging yet crucial tasks for agricultural economists. Timely and reliable price predictions not only support market participants ...
Nature

A comparative evaluation of time-series models for forecasting inpatient deaths and discharges against medical advice

Forecasting inpatient mortality (IM) and discharges against medical advice (DAMA) provides essential insights for healthcare quality monitoring and hospital management. This study compared six ...
Forbes

IBM Improves Generative AI Forecasting Using Time, Not Just Attention

According to IBM, attention is not all you need when forecasting certain outcomes with generative AI. You also need time. Earlier this year, IBM made its open-source TinyTimeMixer (TTM) model ...
Geeky Gadgets

Forecast Anything with Transformers with Chronos or PatchTST

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...
Investopedia

Understanding Time Series: Analyzing Data Trends Over Time

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

FirstQFM® Outperforms Leading Classical Forecasting Models with Quantum-Powered System at ISC 2026, Built with NVIDIA CUDA-Q

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 ...