CS Blog

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Middle Schoolers get tour of Robotics Lab for Brown 250+ Celebrations

Community outreach connects Brown CS students to the Providence area. For more articles on how Brown CS students inspire and lead members of the greater Providence community click here.

The robotics open house was hosted by the Brown Robotics Lab on first floor of the CIT Building.  Visitors were greeted in the lobby by Morgan ...

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pr2.jpgPR2 Kuma

The Brown Bears Robotics Team has been selected for the annual RoboCup@Home robotics competition.  The Bears consists of graduate and undergraduate students working with Professor Chad Jenkins, along with Kuma (the PR2 robot) from the Brown Robotics Lab.  This year's RoboCup competition will be held in Brazil in July, just after ...

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BrownCS Students Win Best Teamwork Award

Brown CS students continue to distinguish themselves at hackathons nationwide. To read more on this topic, click here.

On Friday and Saturday, February 7 and 8, the Atlantic Council hosted their second annual Cyber 9/12 Student Competition in Washington DC. It is an event designed to give students a taste of the challenges that ...

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Brown University Press Release Media Contact: Kevin Stacey

To keep data safe in the cloud, a group of computer scientists suggests doing the Melbourne Shuffle.

Yes, that’s a dance move, but it’s also a computer algorithm developed by researchers at Brown University.

The computing version of the Melbourne Shuffle aims to hide patterns ...

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Imagine being tasked with designing protective clothing for law enforcement officers. The protective gear needs to be effective at stopping hurled projectiles while not severely restricting the movements of the wearer. To design such armor, it's useful to partition the human body into nearly rigid (lower arm and leg) and highly deformable parts (neck ...

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Zhiyu Liu and Maurice Herlihy Win Best Paper Award

Reached by phone after his recent shared triumph, Professor Maurice Herlihy of Brown University’s Computer Science Department was feeling optimistic: “This is good news for programmers.” The paper that he co-wrote with PhD student Zhiyu Liu (“Well-Structured Futures and Cache Locality”) had just won the Best Paper Award at the Proceedings of the 19th ...

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The core of computer vision is concentrated on learning how to automatically recognise things that humans are already awesome at recognising (dogs, cats, sail boats, handwriting, etc.). Humans can recognise these things in approximately 0.3 seconds -- you can recognize a Jack Russell before you can even think the words ‘super cute dog,' [1]. Humans ...

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