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Brown CS Announces Major Achievements In Data Science

Click the links that follow for more Brown CS content about Carsten Binnig, DARPA, the Data Science Initiative, Lorenzo De Stefani, Tim Kraska, Sloan fellowships, Tupleware, Eli Upfal, Vizdom, Andy van Dam, and Emanuel Zgraggen.

Only a few months after the founding of Brown University's Data Science Initiative (DSI), the Department of Computer Science ...

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Tim Kraska Receives A Sloan Research Fellowship

For more content about Tim Kraska, click here.

Picture yourself in a meeting with colleagues, looking up at a conference room wall. Not far in the future, Assistant Professor Tim Kraska of Brown University's Department of Computer Science (Brown CS) expects it to be equipped with an interactive whiteboard that will enable domain experts ...

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Andrew Crotty Wins A Google PhD Fellowship

Andrew Crotty of Brown University's Department of Computer Science (Brown CS) has just received a Google PhD Fellowship for his research in data management, particularly the design of big data analytics systems. His current work focuses on developing a new high-performance analytics platform, Tupleware, which is geared toward complex computations like machine learning.

The ...

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Professors Tim Kraska and Andy van Dam and Adjunct Associate Professor Carsten Binnig of Brown University’s Department of Computer Science have just won a Google Faculty Research Award. Their proposal (“Human-In-the-Loop Data Exploration”) is now one of 113 funded projects chosen from more than 800 proposals received from around the world. They join only ...

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Tim Kraska Wins NSF CAREER And AFOSR Young Investigator Awards

Assistant Professor Tim Kraska of Brown University's Computer Science Department has just won a National Science Foundation (NSF) CAREER Award and an Air Force Office of Scientific Research (AFOSR) Young Investigator Research Award for his work on redefining analytics for small high-performance computing clusters. He joins multiple previous Brown CS winners of the CAREER ...

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Tupleware: Redefining Modern Analytics

Up until a decade ago, most companies sufficed with simple statistics and offline reporting, relying on traditional database management systems (DBMSs) to meet their basic business intelligence needs. This model prevailed in a time when data was small and analysis was simple.

But data has gone from being scarce to superabundant, and now companies want ...