DeepCalorie: Transforming Nutrition with Machine Learning
As the project evolves, it promises to redefine dietary management, making healthy choices more accessible, accurate, and ...
Ummid1d
Developed: Machine Learning based Quantum Error Suppression Technology
The core idea of WiMi's Machine Learning-Based Quantum Error Suppression Technology (MLQES) is to predict potential errors in ...
Impacts2d
AI-Driven Material Testing: The Future of the Industry
Artificial Intelligence (AI) is significantly transforming the material testing industry by introducing new levels of ...
Scientific Research Publishing2d
Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models ()
Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models. Open Journal of Statistics, 14, 757-774. doi: ...
Machine learning speeds up prediction of materials' spectral properties
Many techniques in computational materials science require scientists to identify the right set of parameters that capture ...
TMCnet2d
WiMi Develops Quantum Error Mitigation Technology Based on Machine Learning
The core idea of WiMi's Machine Learning-Based Quantum Error Suppression Technology (MLQES) is to predict potential errors in quantum circuits using machine learning models and dynamically adjust the ...
pv magazine International6d
Scientist develops machine-learning method to identify faulty solar panels
A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar ...