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...

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

Blending the Best: An Insight into Blockchain’s Hybrid Models

With blockchain’s hybrid models, businesses can customize their networks to their specific technological requirements. This article will delve into blockchain’s hybrid models and all they are about.  As… #BlockchainModels #HybridModels

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

#IBC2025 #InnovationAwards #CloudSolutions #HybridModels #ContentTransformation

💡 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

12/15 efavdb proposes hybrid models: diffusion for large-scale structure, autoregressive for details. A balanced approach? ⚖️ #HybridModels #AI #Architecture

💡 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

#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.

Updates on CRAN: brnn (0.9.4), hybridModels (0.3.8), localScore (2.0.2), nycflights23 (0.2.0), rollupTree (0.3.1)

#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.

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

CRAN updates: hybridModels localScore nycflights23 rollupTree #rstats