Brown CS News

Code analysis tools are crucial in preventing security vulnerabilities, but they’re difficult to develop and maintain because they must often deeply integrate with monolithic compilers. Enter: Malte’s work to “catalyze innovation” with compilers.

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.

Shriram Krishnamurthi has received one of software engineering’s highest honors for his lasting contributions to the foundations and growth of the discipline.

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.

The inaugural conference AI & Gender-Based Harms: Implications for Policy and Practice examined the impact of AI-facilitated gender-based harms and response policies with an interdisciplinary roster of researchers, clinicians, advocates, policymakers, and practitioners. Brown CS and Data Science Institute faculty member Diana Freed co-founded and co-chaired the conference with colleagues from Fordham University, the NYC Mayor's Office to End Domestic and Gender-Based Violence, and Weill Cornell Medicine.