ORNL’s AI initiative is focused on secure, trustworthy, and energy-efficient AI to transform and advance the scientific, engineering, and national security missions of the laboratory. The Initiative utilizes translational AI to accelerate scientific discoveries and to model, optimize, and control complex engineered systems; to automate science workflows at experimental facilities; and to develop and advance the foundations of secure, trustworthy, and energy-efficient AI methods.
The Artificial Intelligence Summer Institute enables college juniors and seniors, as well as graduate students, to collaborate with ORNL scientists to solve problems of national interest; engage in educational and professional development opportunities; explore careers at national laboratories; and interact with and present their research to ORNL scientists. As part of the Summer Institute, students are organized into teams with diverse educational backgrounds and tasked with developing their skills in solving scientific challenges using artificial intelligence, machine learning, and data science. They work alongside ORNL mentors who have expertise in artificial intelligence and machine learning and/or domain sciences such as physics, materials, or biology and participate in an educational and professional development seminar series. Participants also take part in scientific communication exercises to prepare them for a career in scientific research, including oral and poster presentations and technical reports.
Students will receive specialized training in areas such as large language models, graph neural networks, operator learning, high-performance computing, and advanced AI hardware accelerators while collaborating with experts across the lab, academia, and industry. Additionally, ORNL mentors will assist projects with the development and the integration of responsible AI practices, including uncertainty quantification, validation/verification, alignment, energy-efficient training, and bias evaluation (see the recent AI executive order here.).
Selection for the Summer Institute will be handled by ORNL’s Educational Programs office.
Reach out to Dan Lu and Prasanna Balaprakash for more information.