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The program will bring students to Brown from June 1 to July 30 to conduct original research: it offers a stipend of $6,300, travel costs to and from Providence, and campus housing. 

"By pushing students to think outside of the box," writes Arya Vishwakarma, "skits and playful assignments train students in the kind of creative thinking that helps one succeed in any field." 

Through an interactive story and searchable database, the team hopes to help researchers, journalists, policymakers, advocates, and the public better understand the systems that enable this harm.

When Anthropic published a report this week on how AI is making formal software verification practical at scale, it contained an experiment with deep Brown CS roots.

It’s tempting, Adriana explains, to think that generative models will absorb the challenge of these complex, highly constrained spaces without the need for explicit optimization, but she argues the opposite: optimization is not merely still relevant, it’s becoming more powerful.

Brown CS community members are returning from the event with five accepted papers, and the work spans research areas ranging from activism to data maintenance to AI and mental health.

Brown CS is glad to announce that applications are open for the Randy F. Pausch '82 Computer Science Undergraduate Summer Research Award, which provides $15,000 annually to support an undergraduate engaged in an intensive faculty-student summer research partnership with the Department of Computer Science. 

“The longer I am a scientist," she says, "the more I see it as an infinite game. A finite game is where there's a winner and a loser, and at some point, it ends. [In] an infinite game, you want to play to keep playing."

This semester, CNTR is starting a new project called the Career Atlas, and we’re really excited to bring students into the process from the beginning. The idea is to turn real career journeys into visual pathways that students can explore.

The leader of Brown’s NSF-funded AI research institute talks AI doom scenarios, the frontier labs’ “slowdown”, and making AI safer.