As the project evolves, it promises to redefine dietary management, making healthy choices more accessible, accurate, and ...

Artificial Intelligence (AI) is significantly transforming the material testing industry by introducing new levels of ...

Prediction of After-Sales Behavior in E-Commerce Using Machine Learning Models. Open Journal of Statistics, 14, 757-774. doi: ...

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 ...

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar ...

With their speed, precision, and adaptability ... With advancements in artificial intelligence (AI) and machine learning, ...

With AI taking more and more space in biotech, CRISPR stands out as one of the most promising avenues for AI integration.

Breast cancer continues to pose a significant global health challenge as the most commonly diagnosed cancer in women ...

The magic of AI lies in its ability to learn and act - training develops the brain and inferencing puts it to work.

Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...

To screen catalysts, scientists must understand systems’ adsorption energy, something that machine learning (ML) models, particularly graph neural networks (GNNs), have been successful at predicting.