techxplore2d
How machine learning can boost accuracy of solar power forecasts
As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power ...
marktechpost24d
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 ...
GitHub28d
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 ...
Healio1mon
Machine-learning method detects REM sleep behavior disorder with nearly 92% accuracy
The highest accuracy was achieved by combining all five features. An automated machine-learning method that analyzed sleep movements recorded with a conventional 2D camera may improve diagnosis of ...
Design-Reuse1mon
It's Not All About the MACs: Why "Offload" Fails
This accelerator was paired with a highly programmable core to run other, less commonly used layers in machine learning graphs. Dozens of lookalike architectures have been built over the past ...
C&EN1mon
Machine Learning for Accurate Prediction of Henry’s Law Constant in CO
College of Chemical and Biological Engineering, Zhejiang Provincial Key Laboratory of Advanced Chemical Engineering Manufacture Technology, Zhejiang University institution, Hangzhou 310027, PR China ...