Billions of dollars’ worth of cancer drugs are discarded each year. Manufacturers must refund Medicare for some of this waste ...

The New York Institute of Fashion (NIF Global), in collaboration with the London School of Trends (LST), made a powerful statement on the global runway with its latest showcase, “Fashion and Style ...

Abstract: The field of short-term load forecasting has been a growing area of research in the context of energy systems. The recent increased adoption of renewable energy sources and energy storage ...

More than $175 billion ⁠in U.S. tariff collections are at risk of having to be refunded if the U.S. Supreme Court rules ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

The Fed paper found that Kalshi's markets provide data that's "valuable to both researchers and policymakers." ...

A new report from the Federal Reserve indicates that prediction markets can be a valuable tool for researchers and policymakers in terms of providing rich, frequently updated probabilities regarding ...

As prediction markets boom, competition is heating up. So traders go the extra mile for a fraction-of-a-second advantage or to sleuth out information nobody else has. It can lead to a huge payday.

The Bureau of Meteorology has hit back at critics after a predicted weekend deluge bypassed Brisbane, insisting its forecasts remain “accurate and reliable” despite leaving the capital high and dry.

The accuracy of weather forecasts produced by AI models beat meteorologists’ contemporary methods. But how they work is a bit of a mystery.

Abstract: The past decade has witnessed the success of deep learning-based multivariate time-series forecasting in Internet of Things (IoT) systems. However, dynamic variable correlation remains a ...