A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

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 ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...