It’s no wonder Yahoo has a strong connection with universities. Started by two grad students in a trailer on campus at Stanford, Yahoo continues to stay close to its roots in a number of ways.
Second annual Key Scientific Challenges Program brings together top minds in academia and industry.
Increasing demand for the web services and applications that have become such a central part of our lives (like email and web video, just to name a few) is also causing a steady rise in the need for more and more computing power to make all of theses services work and work well.
Yahoo Labs had another outstanding presence with 17 accepted papers, and winning the Best Paper Award out of a total of 45 accepted papers.
Last week, we hosted cloud computing technologists and researchers from around the world at Yahoo for the second Open Cirrus Summit. We chatted with researchers from Carnegie Mellon University, Cornell, and UC Berkeley to learn about some of the scientific research being conducted.
Computer scientists from leading technology corporations, world-class universities, and public sector organizations have gathered in Sunnyvale to discuss the future of computer science research in the cloud. The breadth of the research talent is expanding this week, as the School of Computer Science at Carnegie Mellon University officially joins the Open Cirrus Testbed.
In the last year, Yahoo Labs has bolstered its ranks of social scientists, adding highly credentialed cognitive psychologists, economists and ethnographers from top universities around the world. At approximately 25 people, it's still the smallest group within the research division, but one of the fastest growing.
Open Source Hadoop Cluster and Web data to help IIT Bombay conduct Breakthrough Research on Search Based Technologies
2009 was a stellar year at Yahoo Labs as it won seven best paper awards at these top conferences in the industry.
We are at the cusp of a new paradigm change: multi-core processing, which comes about when processor speeds are no longer increasing. Instead, the number of cores per computer is growing steadily every year.