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How brain connectivity and machine learning enhance understanding of human cognition
Researchers provide new insights into human cognition by prioritizing interpretability in predictive modeling of intelligence ...
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Not so simple machines: Cracking the code for materials that can learn
University of Michigan physicists have devised an algorithm that provides a mathematical framework for how learning works in ...
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Machine Learning: Theory & Hands-On Practice with Python Specialization
In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...
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Multimodal Machine Learning Model Increases Accuracy
Researchers in the Department of Mechanical Engineering have developed a novel machine learning model combining graph neural ...
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Identifying and Mitigating Bias in Machine Learning Models
A new MIT technique improves machine learning by removing key biased data points, boosting model performance for minority ...
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Multimodal language and graph learning of adsorption configuration in catalysis
“When it comes to chemical data, by integrating different modalities, we can construct a comprehensive view. Inspired by this ...
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FDA Publishes Final Predetermined Change Control Plan Guidance for AI-Enabled Device Software Functions
FDA finalized its guidance entitled “Marketing Submission Recommendations for a Predetermined Change Control Plan for ...
Multimodal machine learning model increases accuracy of catalyst screening
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and ...