#hybridmodels — Public Fediverse posts

Zebra-Llama: Towards Efficient Hybrid Models

https://arxiv.org/abs/2505.17272

#HackerNews #ZebraLlama #HybridModels #AIResearch #MachineLearning #Efficiency

Zebra-Llama: Towards Efficient Hybrid Models

https://arxiv.org/abs/2505.17272

#HackerNews #ZebraLlama #HybridModels #AIResearch #MachineLearning #Efficiency

IBM’s New Granite 4.0 AI Models Slash Costs with Hybrid Mamba-Transformer Architecture

#AI #IBM #EnterpriseAI #OpenSource #Mamba #Granite4 #AIModels #HybridModels

https://winbuzzer.com/2025/10/03/ibms-new-granite-4-0-ai-models-slash-costs-with-hybrid-mamba-transformer-architecture-xcxwbn

IBM’s New Granite 4.0 AI Models Slash Costs with Hybrid Mamba-Transformer Architecture

#AI #IBM #EnterpriseAI #OpenSource #Mamba #Granite4 #AIModels #HybridModels

https://winbuzzer.com/2025/10/03/ibms-new-granite-4-0-ai-models-slash-costs-with-hybrid-mamba-transformer-architecture-xcxwbn

💡 New Paper!
Clouds are crucial for climate modeling, affecting sunshine, heat, and rainfall. Traditional models use coarse grids, but new methods involve high-detail simulations and #MachineLearning to predict cloud cover and cloud content to improve #HybridModels accuracy.

👉 Learn more:
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024MS004651

#ClimateScience #CloudModeling

💡 New Paper!
Clouds are crucial for climate modeling, affecting sunshine, heat, and rainfall. Traditional models use coarse grids, but new methods involve high-detail simulations and #MachineLearning to predict cloud cover and cloud content to improve #HybridModels accuracy.

👉 Learn more:
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2024MS004651

#ClimateScience #CloudModeling

💡 New Paper!
How to improve #DeepLearning submodels for hybrid numerical modelling systems? Ouala et al. showcase an efficient and practical online learning approach using Euler Gradient Approximation for #HybridModels.

👉 Learn more: https://www.nature.com/articles/s42005-024-01880-7

💡 New Paper!
How to improve #DeepLearning submodels for hybrid numerical modelling systems? Ouala et al. showcase an efficient and practical online learning approach using Euler Gradient Approximation for #HybridModels.

👉 Learn more: https://www.nature.com/articles/s42005-024-01880-7

#AI4PEX research focus 5: Land

We build #hybridmodels representing short-to-long-term responses of #TerrestrialEcosystems to changes in climate and atmospheric CO2, improve the vegetation response to water and heat stress and temperature sensitivity of decomposition in soils.

#AI4PEX research focus 5: Land

We build #hybridmodels representing short-to-long-term responses of #TerrestrialEcosystems to changes in climate and atmospheric CO2, improve the vegetation response to water and heat stress and temperature sensitivity of decomposition in soils.

#AI4PEX research focus 3: Atmosphere

We will build new data-driven, yet physics-aware, ML-based #hybridmodels to better represent #CloudFeedbacks and related atmospheric processes with special focus on subtropical low clouds.

#AI4PEX research focus 3: Atmosphere

We will build new data-driven, yet physics-aware, ML-based #hybridmodels to better represent #CloudFeedbacks and related atmospheric processes with special focus on subtropical low clouds.