Monday, March 3, 2008


Quem estiver de bobeira no dia 6 de Março e puder ir até o Inter Research lab vai encontrar as portas abertas. Vale a pena....


6 March 2008
2:30 - 5:00 pm

Intel Research
2150 Shattuck Ave (Penthouse Suite)
Berkeley, CA 94704

Once a year Intel Research hosts their "Open House" featuring many of our research projects with interactive demonstratons, posters, and prototypes. This year the Urban Atmospheres group at Intel Research will be debuting a project in collaboartion with other researchers at Intel and UC Berkeley on personal mobile enviromental sensors and tools.

Come and meet us!

The lab is located just off the UC Berkeley campus at 2150 Shattuck Avenue (right across from the Berkeley BART station) in the penthouse suite. The open house will include refreshments, demos of key research projects, and lots of posters and opportunities to meet students, faculty, and researchers.

Intel's Berkeley Lab is one of a small network of university labs started in 2001 with a mission to perform collaborative off-roadmap research with key academic institutions. Most of the work in the lab is governed by a contract called the open collaborative research agreement to promote close cooperation between Intel and university staff. The lab currently houses 14 full-time Intel researchers and many students.

Some of the lab's past work included early activity in sensor networks, the development of the Planet Lab distributed systems test bed, declarative distributed systems, and technology for emerging regions. This year the open house will feature our current research in a variety of areas including:

modernization of communication APIs for internet services
writing scalable and correct programs for parallel computers
developing new approaches to simplify secure distributed computing systems
results of telemedicine deployments in Ghana
mobile environmental sensing and cititizen action
electrically steerable antennas
building high-speed routers out of commodity parts
presenting short films on sustainability
creating efficient algorithms for everyday sensing and learning

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