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The Brown Systems research group has broken their own record with four accepted papers. One of these won both a Jay Lepreau Best Paper Award and a Best Artifact Award and another was a Best Paper Award Runner-Up.

His project aims to build new graph algorithms that work in the presence of length constraints and, in doing so, provide new algorithms for solving classic problems as fast as possible.

"Most benchmarks for AI agents," the authors explain, "usually only ask one question, did the agent complete the task? And what they don't ask is whether the agent should have completed the task in the first place."

"These are our top students," says Director of Undergraduate Studies Kathi Fisler. "As a group, they've done superior work, but we were also very impressed with how generously they were able to give back to the department and their fellow students."

She'll study how people communicate goals to machines and design AI systems that can interpret imperfect instructions by reasoning about the intent behind them. Expected outcomes include safer decision-making technologies and new tools that help organizations deploy AI more effectively.

“I'm deeply honored by this award,” Ed says, “but my impact is measured in milli-Andys.”

Last month, Brown CS faculty member Michael Littman, Brown University’s Associate Provost for Artificial Intelligence, received one of his profession’s highest honors by being elected an Academy member. 

The award recognizes strong achievement from undergraduate researchers and provides $13,350 to enable them to continue their work over the summer.

For Erin, the complexity of the immune system is less a mystery than a puzzle waiting to be understood. Everest is driven by a simple question: How can machines better support people in high-pressure environments?

Her work explores how AI systems can reason directly in dynamic 3D environments rather than only through text, including methods that extend 4D capture with generative models.