Future Lab: Big Data, Innovative Solutions

October 18th, 2010 |
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As computer and network use becomes more widespread, more people are faced with the problem of making meaning out of large data sets. Big data presents not just technical challenges but time and cost challenges as well. In this episode of Future Lab, we look at two innovative ways, BOINC and Dicer, researchers are developing to help people deal with this flood of information.

Total time – 8:19

Interviewees:
David Anderson, Research Scientist, UC Berkeley; Director, BOINC and SETI@home
Jason Campbell, Senior Researcher, Intel Labs
Soila Pertet, Researcher and PhD Student, Carnegie Mellon University

Papers:
SETI@home: An Experiment in Public-Resource Computing

Demo:
Demo of Dicer on video

See photos on Flickr:


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Posted in: Big Data, Intel, Intel Labs