Combining machine learning with a climate system model enhances flood season rainfall predictions
As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...
Tech Xplore on MSN9h
Machine learning-based method enhances accuracy of measuring dip angles and directions in rock facets
Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...
Phys.org6d
Combining machine learning with a climate system model enhances flood season rainfall predictions
More information: Bofei Zhang et al, A Machine Learning-Based Observational Constraint Correction Method for Seasonal Precipitation Prediction, Advances in Atmospheric Sciences (2024). DOI ...
AI Selloff Opens Door for Alternate Machine-Learning Methods
Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers ...
AI advancement in T cell epitope prediction could propel vaccine development
A collaboration between the Ragon Institute and the Jameel Clinic at MIT has achieved a significant milestone in leveraging ...
Climate Cosmos on MSN5d
AI and Climate: How Machine Learning Is Improving Climate Predictions
Discover how AI is revolutionizing the way we predict climate changes! 🌍 Machine learning is paving the way for more ...
Frontiers2d
Machine Learning for Operator Fatigue Detection and Monitoring with Wearable Electronics
Recent advancements in machine learning (ML) and artificial intelligence (AI) have paved the way for novel applications in wearable electronics, ...
EurekAlert!2d
Leveraging artificial intelligence for vaccine development: A Ragon-MIT advancement in T cell epitope prediction
A collaboration between the Ragon Institute and MIT’s Jameel Clinic has led to the development of MUNIS, a deep learning tool that significantly enhances T cell epitope prediction, accelerating ...