Aerospace PhD candidate Shivam Barwey receives 2020 J. Robert Beyster Computational Innovation Fellowship Award for developing a GPU-based library for turbulent reacting flow solvers, making him the first Aerospace student to win the award since 2016.|Short Read

U-M IOE professors receive AFOSR funding to further their research on human-autonomy teaming.|Short Read

The project enables neural networks to model how people are positioned based on only partial views of their bodies, like perspective shots in instructional videos or vlogs.|Medium Read

An op-ed on developing artificial intelligence to serve the common good by Chad Jenkins.|Short Read

The virtual interviewer uses therapeutic writing techniques to help users cope with difficult situations.|Short Read

The project demonstrated that a certain bias in humans who train intelligent agents significantly reduced the effectiveness of the training.|Medium Read

Virtual copies of nuclear reactors could enable smarter maintenance for current reactors and more automation for advanced reactors.|Medium Read

Zhang is working to improve data security and address important ethical issues related to AI and discriminatory data sets. |Short Read

Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.|Medium Read

Her work uses machine learning to measure mood, emotion, and other aspects of human behavior for purposes of providing early or real-time interventions for people in managing their health. |Medium Read

U-M IOE assistant professor, Xi Jessie Yang, and associate professor, Cong Shi, have received funding from the Army Research Laboratory to improve trust dynamics within human-agent relationships to create effective teaming.|Short Read

Creating and measuring intricacy in particles that could improve electronics and chemical reactions.|Medium Read