Brown CS News

It focuses on transformorphic computing, a fundamentally new approach to automatically and correctly improving widely deployed systems without burdening their users and with strong guarantees about their behavior. 

In her solo paper, written when Kathi was a faculty member at Worcester Polytechnic Institute, she returns to and makes progress on Soloway’s Rainfall problem, often used to assess student programming skills in introductory courses. 

The ultimate goal is to produce new systems that enable practitioners to focus solely on creating and improving the accuracy of modern AI systems, without having to worry about details related to efficient execution and resource management.

Patrick was part of team White Space Explorer, which was awarded First Place Team. Lyndee was part of team 5-Star Formula, which was awarded Third Place Team.
 

Serena has joined the third cohort of researchers whose mission is to understand the adoption of artificial intelligence across economies, industries, and communities.

The need is clear: AI is rapidly permeating journalism, increasing dependency on a few Big Tech companies who control much of the infrastructure underpinning commercial AI. Many in the industry have raised alarms about what this means for editorial independence, labor, and the long-term viability of journalism itself.

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.

With a course offered this past spring semester, professors and students alike have begun grappling with the role automated AI agents have in teaching students the basics of software development.

"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."