A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets|Medium Read

Students in EECS 545: Machine Learning, taught by Prof. AL Hero, presented their final projects in a poster session sponsored by KLA. |Short Read

Prof. Euisik Yoon and his team developed a new machine learning tool that enables large-scale testing of cancer drug effectiveness with microfluidics. |Medium Read

Hero and Lindquist took a few minutes to talk about the impact of machine learning on Signal Processing and Control Systems, and what they plan to do about it|Long Read

CE undergrad Amulya Parmar designed a machine learning algorithm to curb fake news as part of the Tavtech Fellowship program.|Short Read

The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.|Short Read

Data gleaned from cameras and sensors increases predictive accuracy.|Medium Read

A Q&A with machine learning expert Emily Mower Provost.|Medium Read

Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.|Short Read

Wagenmaker will utilize the award as he pursues his doctoral degree at the University of Washington.|Short Read

Model successfully applied to data from medical centers with different patient populations, electronic health record systems|Medium Read

Jason Mars, CEO of Ann Arbor startup Clinc, was named #2 in Bank Innovations’s "10 Most innovative CEOs in Banking 2017" list. Clinc is leading the pack for development of intelligent banking assistant software.|Medium Read