New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Tanmay approached forecasting as a system design problem. The goal was to produce decision-ready forecasts at portfolio scale ...

Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

Culex mosquito larvae cluster together underwater. The genus is the chief insect vector for West Nile virus in the United States. Credit: Gross, 2006, https://doi.org ...

Kalshi says it's more than just betting and that it offers high-quality forecasts. Now, a research paper from a group of Federal Reserve economists is backing that up. The researchers found that ...

Abstract: The research commenced with a focus on reverse logistics analysis, employing the fuzzy Delphi method (FDM) to identify barriers, enhancing decision-making and forecasting trends. A modified ...

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the debate about actual ROI those businesses are getting to the technology’s ...

Division of Family Health Care Nursing, Graduate School of Health Sciences, Kobe University, Kobe, Japan. The purpose of this study, then, was to clarify therapeutic communication methods in family ...

To successfully enter an international market takes far more than instinct. It demands time, disciplined research, and a strong understanding of the economic, competitive, and consumer forces shaping ...

People are now betting on everything. Prediction markets are amplifying those signals. The timing of the U.S. government shutdown. The likelihood of Taylor Swift canceling a tour date. The exact day ...