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1,460 claims from 908 papers are on the record. 46 have been checked so far; the other 1,414 have no check with a result yet.

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Keyword: multimodal learning ×Clear all

4 claims from 2 papers

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time

   Chen, Han, Ling et al. · Communications Earth & Environment · 2025

   The paper presents FengWu, an AI global medium-range forecasting system, and FengWu-Ensemble, a diffusion-based probabilistic version, which the authors report outperform leading physics-based and AI forecasts.

   Unchecked3 claims
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   1. UncheckedFengWu-Ensemble, an AI ensemble forecast system, is reported to outperform the ECMWF Integrated Forecasting System Ensemble on several variables and metrics.“Comparative evaluations against the Integrated Forecasting System Ensemble show that FengWu-Ensemble achieves superior performance across multiple meteorological variables and evaluation metrics.”
   2. Unchecked“These enhancements allow FengWu to outperform deterministic forecasts produced by European Centre for Medium-Range Weather Forecasts High-Resolution Model, Pangu-Weather, and GraphCast.”
   3. UncheckedA deep learning weather model, FengWu, is reported to beat other machine learning models and the ECMWF model, giving accurate global forecasts beyond ten days.“A new deep learning-based global medium-range weather forecasting model outperforms existing machine learning models and the European Centre for Medium-Range Weather Forecasts model, producing accurate global weather forecasts beyond ten days.”

2. Computer Science › Multimodal Machine Learning Applications

   Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey

   Lin, Zhu, Xin et al. · arXiv (Cornell University) · 2024

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   1. Unchecked“The answer is that current technologies have NOT achieved universal intelligence and there remains a significant journey to undertake.”