A new study of frontier models on Kalshi and Polymarket finds consistent losses, even as early signs suggest more autonomous ...
Recent advances in hydrological science highlight the urgent need for robust and adaptive modeling approaches to support effective disaster management in ...
For decades, scientists have worked to improve predictions of El Niño-Southern Oscillation (ENSO), a climate powerhouse that ...
USC researchers are developing a computational model that combines satellite data and physics-based simulations to forecast a ...
Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
Consumption-based pricing does not eliminate contracts, but it does change how organizations must approach them. ...
Abstract: This study focuses on the volatility characteristics and forecasting needs of the soybean meal-rapeseed meal price spread, aiming to address the difficulty of traditional linear models in ...
Slight cooling trend expected: The model forecasts a mean anomaly 0.07°C below 2024 levels, suggesting a potential stabilization after the record-breaking temperatures of 2023-2024. Seasonal pattern ...
Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...
The top panel shows the OpenIFS forecast of a storm event in September 2016, at 78 km horizontal grid spacing, compared against the ECMWF operational forecast at the time, on a 9 km grid in the bottom ...
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