Google X is amazing in that it is about the only one left doing true bluesky R&D. Everyone else is just doing product development.
Google X is amazing in that it is about the only one left doing true bluesky R&D. Everyone else is just doing product development.
That is quite wrong, really. There are many industrial research labs that are pursuing 'bluesky' research, in pretty much all sectors, including computer science, EE, chemistry, pharmacology, etc. Just to name a few, Mitisubishi Electric Research Labs (MERL), IBM Almaden/New York/Zurich, Microsoft Research, traditional pharma companies, traditional chemicals/materials companies, GE Global Research, etc. all have 'blueskies' agendas to varying extents.
It does look that way. You drive in the front gate, and go along a winding road through pastures for about half a mile before reaching the big glass buildings on a hilltop overlooking a huge park. The view from the cafeteria is spectacular. That's what people thought research centers should be like in the 1960s.
Today, it's a shadow of what it once was. I happened to be there the day IBM exited the disk drive business. Major layoffs followed. It's sad.
IBM employees have won five Nobel Prizes. The last one was in 1987.
http://youtu.be/P18EdAKuC1U?t=2m20s
https://www.google.com/search?client=safari&rls=en&q=an+acco...
Funnily, Google completes my phrase "an account of the principalities of wallachia and moldavia inspired this author's famous novel" but is completely clueless.
As the other poster said, Google seems to be winning the advertising game (after all that is how they make $).
It is not blue-sky research, though: it's pretty clear what the value proposition is, who the (potential) customers are, etc.; IBM just put on the publicity upfront with their "winning Jeopardy!" grand challenge to put themselves on the map in a space that is currently dominated by small boutique companies and a very limited numbers of bigger players such as Thomson-Reuters and (partly) Nuance.
Which means that IBM will have an easier time selling to existing enterprise customers who want to get in on this "big data" thing using text analytics (and, frankly, it's also good advertising for their existing data analytics business).
As someone who dwells in AI/Machine Learning for a living, let me tell you: Watson is the most extreme blue sky research out there. It happens to have a customer base that intersects with IBM's current base. Why should this be a diminishing factor?
Google's blue sky research is also ultimately for customers. IBM is good at actually selling its research as products. No company does anything for truly altruistic reasons. If so, Google would be spending billions of particle accelerators.
http://www.research.ibm.com/haifa/info/news_ibm_help_cern.ht...
Do you mean it is the most blue sky research being done in the field of AI by large companies? Even if it was closest to blue sky research being done in machine learning by large tech companies, that really doesn't automatically mean that it is blue sky research.
> It happens to have a customer base that intersects with IBM's current base
The definition of blue sky research is "research without any clear path to a product". It isn't diminishing the importance of research to say that it is blue sky (in fact many people would argue the opposite). Watson was already being touted for an actual product launch by the time that it was on Jeopardy.
I guess probably anything that Hinton was hired for which is more fundamental neural network research, maybe the cat recognizing neural network research they did on youtube video?
Basically all research is tied to some sanely forseeable bottom line item.
This idea is from Joseph Schumpeter. The same guy who coined the phrase "creative destruction."
what about them?
http://research.microsoft.com/apps/catalog/default.aspx?t=pe...
(This might be a different robotics team, who knows!)
That doesn't seem unfair, given the layoffs.
For what it's worth, MSR historically hasn't been beholden to find commercial applications for their work. If anything, it's usually disappointing how much really cool stuff they come up with that isn't ever productized in an accessible way.
I believe IBM still does quite a bit of fundamental research as well.