We've just posted the first three videos in the Google Technology Roundtable Series. Each one is a discussion with senior Google researchers and technologists about one of our most significant achievements. We use a talk show format, where I lead a discussion on the technology.
While the videos are intended for a reasonably technical audience, I think they may be interesting to many as an overview of the key challenges and ideas underlying Google's systems. And of course they offer a glimpse into the people behind Google.
The first one we made is "Large-Scale Search System Infrastructure and Search Quality." I interview Google Fellows Jeff Dean and Amit Singhal on their insights in how search works at Google.
The next title is "Map Reduce," a discussion of this key technology (first, at Google, and now having a great impact across the field) for harnessing parallelism provided by very large-scale clusters computers, while mitigating the component failures that inevitably occur in such big systems. My discussion is with four of our Map Reduce expert engineers: Sanjay Ghemawat and Jeff Dean again, plus Software Engineers Jerry Zhao and Matt Austern who discuss the origin, evolution and future of Map Reduce. By the way, this type of infrastructure underlies the infrastructure concepts in our recent post on "The Intelligent Cloud."
The third video, "Applications of Human Language Technology," is a discussion of our enormous progress in large-scale automated translation of languages and speech recognition. Both of these technology domains are coming of age with capabilities that will truly impact what we expect of computers on a day-to-day basis. I discuss these technologies with human language technology experts Franz Josef Och, an expert in the automated translation of languages, and Mike Cohen, an expert in speech processing.
We hope to produce more of these, so please leave feedback at YouTube (in the comments field for each video), and we will incorporate your ideas into our future efforts.
[Cross-posted on the Google Research Blog.]
