Data Science Institute
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CCMB graduate student Cecile Meier-Scherling is tackling the computational challenges of drug-resistant malaria with the one of the world’s fastest supercomputers after receiving the Frontera Computational Science Fellowship.
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TechPolicy.Press

'Sovereignty' Myth-Making in the AI Race

In the age of modern AI and politics, governments like the United States want sovereign AI: "self-sufficiency in the development of AI technologies." But the tech companies that have created this new technology have turned AI sovereignty into subscription services, "encouraging the illusion of a race for sovereign control while being the true powers behind the scenes."

In a new perspective piece published on TechPolicy.Press, Brown AI Policy researchers discuss AI sovereignty, sovereignty as a service, and where the power really lies between tech companies and governments.
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Second year PhD student Rui-Jie Yew was recently recognized as runner-up for Best Student Paper at the Artificial Intelligence, Ethics, and Society (AIES) Conference in San Jose at the end of October.
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News from DSI

2024 Graduating DSI students

Congratulations to all of the graduating students earning their doctoral, master’s, and undergraduate degrees from DSI-related programs this year!
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Held in Toronto, Canada, last month, the IEEE Conference on Secure and Trustworthy Machine Learning (IEEE SATML) focuses on expanding on the theoretical and practical understandings of vulnerabilities inherent to ML systems, exploring the robustness of ML algorithms and systems, and aiding in developing a unified, coherent scientific community which aims to build trustworthy ML systems. The event’s organizers recognized only two papers with their Distinguished Paper Award, and new research by Brown CS PhD student Victor Ojewale was one of them.
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News from DSI

Congratulations to Amina Abdullahi!

Tassallah Amina Abdullahi, a second-year doctoral student in Computer Science, has won a highly competitive Computational and Data Science Fellowship from the Association for Computing Machinery’s Special Interest Group on High Performance Computing (ACM SIGHPC).
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