IBM’s New Granite 4.0 AI Models Slash Costs with Hybrid Mamba-Transformer Architecture
#AI #IBM #EnterpriseAI #OpenSource #Mamba #Granite4 #AIModels #HybridModels
winbuzzer.com/2025/10/03/i...
Hybrid recommendation systems combine multiple algorithms to tackle real-world complexity—no single approach can do it all. Discover 3 ways to orchestrate them effectively. 🚀🔗 fanyangmeng.blog/hybrid-recom... #RecommendationSystems #MachineLearning #HybridModels
💡 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.
👉 Learn more:
buff.ly/uIN1R3O
12/15 efavdb proposes hybrid models: diffusion for large-scale structure, autoregressive for details. A balanced approach? ⚖️ #HybridModels #AI #Architecture
💡 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://buff.ly/3C7uwUU
I won’t be attending #EGU25, but I’m proud to co-convene and help organising an exciting session: "HS3.3: Explainable and hybrid machine learning in hydrology and Earth system sciences". See you all in 2026! 🌍💧 #MachineLearning #HybridModels #Hydrology
3/3 💡 Hybrid Models: The Best of Both Worlds?
Rather than abandoning traditional financial systems, let's create hybrid models that combine the benefits of DeFi and centralization. A more robust, secure, and user-friendly financial system is possible! #FinancialInnovation #HybridModels
#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 the 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 processes that occur on scales smaller than the ESMs’ model grid.