Explore how prediction markets work, their types, real-world applications, and the benefits they offer in forecasting events ...
Spider plot of one- and 10-day forecast (A) RMSE and (B) bias for YHGO and GLO12V4, normalized by the maximum value for each metric. Over 70% of the Earth is covered by oceans. Altogether, the Earth’s ...
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
Traders use Polymarket to predict outcomes, but the platform itself doesn't predict future events. It measures how the crowd currently estimates probability based on available information, similar to ...
A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate predictions of where floods will occur. In a new study published in AGU Advances, ...
Large amounts of data ("big data") offer enormous potential for improving the accuracy of genome-wide predictions in plant breeding. Encouraged by successful results with wheat hybrids, researchers at ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how optimized genomic prediction models can reliably forecast flowering time, yield ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results