AlphaGalileo20m
Machine learning advances glacier lake depth measurement
As global warming accelerates, the increasing number of supraglacial lakes and the need to accurately measure their depths ...
Machine learning and physics merge to enhance liquid-gas phase transition predictions
Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...
Google will use machine learning to estimate a user’s age
Google will soon use machine learning to estimate the age of its users. In an update on Wednesday, Google said it’s testing a ...
techxplore19h
Viewpoint: OpenAI's new 'deep research' agent is still just a fallible tool—not a human-level expert
OpenAI's "deep research" is the latest artificial intelligence (AI) tool making waves and promising to do in minutes what ...
healthday19h
Performance of AI Preeclampsia Prediction Models Deteriorates Over Time
For the Preeclampsia Integrated Estimate of RiSk (PIERS) Machine Learning (PIERS-ML) model and the logistic regress ...
GitHub8d
Machine Learning for .NET
ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...
marktechpost22d
MIT Researchers Propose Graph-PReFLexOR: A Machine Learning Model Designed for Graph-Native Reasoning in Science and Engineering
and dynamically generating knowledge graphs for hypothesis generation. It delivered significant improvements in reasoning depth, adaptability, and accuracy compared to conventional methods. The ...
GitHub26d
GraphChem: Graph-based machine learning for chemical property prediction
GraphChem is an open source Python package for constructing graph-based machine learning models with a focus on fuel property prediction. To contribute to GraphChem, make a pull request. Contributions ...