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

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 ...

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

View all available purchase options and get full access to this article. The following represents disclosure information provided by authors of this manuscript. All relationships are considered ...

Forbes contributors publish independent expert analyses and insights. Sai writes about healthcare, innovation and technology. This voice experience is generated by AI. Learn more. This voice ...

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 ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

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