AI fuels Duke research with the potential to improve human lives, from modeling patient hearts with supercomputers and mining ...

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Duke researchers are using advances in computing to expand our knowledge of biology and human health and build artificial ...

This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

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The findings show that boosting algorithms, a class of machine learning models, consistently outperform traditional statistical methods, particularly for traits with well-defined genetic signals. In ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Organizations of all sizes use different types of AI to facilitate key functions. Distinguishing among AI technologies and understanding their architectures is essential to choosing AI to fit use ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...