Mobilizing the Emerging
AI Talent

The Mobilizing the Emerging AI Talent project is a collaboration between the University of Texas at San Antonio, the Argonne National Laboratory, Bowie State University, Oakland University, Cleveland State University, Florida International University, and the University of Central Florida.

The project aims to train faculty, doctoral, graduate, and undergraduate students at six universities on contemporary AI research relevant to the Department of Energy, including topics such as transformers, perceivers, large language models, pre-trained visual and scientific models, and control of autonomous scientific labs.

The project team seeks to pursue scientific and technical innovations to support its educational and outreach plans. The project team, including Ph.D. students and undergraduate researchers, will study topics of contemporary research, such as (i) deep reinforcement learning with symbolic information, (ii) verification of image responses from student programs and generation of explanations for incorrect images, (iii) designing a calibration metric for feedback on codes in Jupyter notebooks, (iv) enhancing privacy and fairness of the underlying AI models, (v) fine-tuning and pruning pre-trained visual models for robotic control in autonomous scientific lab CPS test-beds, and (vi) robustness metrics for pre-trained models. The research team will work together as a collaborative group of six academic institutions mentored by Argonne National Laboratory to actively investigate these fundamental research problems.