This method is inefficient due to the challenges of exploring vast chemical spaces. In this study, a machine-learning-based methodology is developed to assist the design from available data in the ...

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...

Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile Create optimized graph-based models and functions in any native framework ...

This study introduces MUNIS, a deep learning tool that enhances T cell epitope prediction, crucial for accelerating vaccine development and immunology research.

Chinese company DeepSeek has released its Janus Pro image models. The company claims that these models can rival or beat Stable Diffusion and DALL-E 3 in benchmarks. An online demo doesn’t ...

In this paper, an ensemble-based joint training framework is proposed for anomaly detection, called E-ORAD, to enhance robustness. E-ORAD jointly optimizes sample weights and anomaly scores within a ...

More information: Bofei Zhang et al, A Machine Learning-Based Observational Constraint Correction Method for Seasonal Precipitation Prediction, Advances in Atmospheric Sciences (2024). DOI ...

Discover how AI is revolutionizing the way we predict climate changes! 🌍 Machine learning is paving the way for more accurate forecasts and solutions. Join the journey to a sustainable future!