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I guess it never really was clear what it should do (everything?!) or what it was (they also developed server communications and APIs for loads of things) ... also: "Wave was one stab at tackling our information overload, at providing a central hub for all the information we need to deal with every day. And it will be back, in one form or another." http://www.guardian.co.uk/technology/pda/2010/aug/05/google-wave

I liked the concept but it was too slow .... a pity

The $30 million Google Lunar X PRIZE will be awarded to the first privately funded teams to build robots that successfully land on the lunar surface, explore the Moon by moving at least 500 meters (~1/3 of a mile), and return high definition video and imagery. The Google Lunar X PRIZE expires whenever all prizes are claimed, or at the end of 2015. As of midnight on December 31st, 2010, the team registration for the Google Lunar X PRIZE is closed. No additional applicants will be accepted to join the competition. ...too late

please see the act report on this from a few years ago - its on the wiki - should we maybe make an update analysis? any volunteers? Giusi?

I'll have a look

Biologists have figured out the most efficient way to destroy an ecosystem - and it's based on the Google search algorithm. Scientists have long

Looks really cool! And it's open source :)

Don't know if you've noticed, but the current version is becoming more and more usable... did you try it already in your collaborative work?

We've used it a bit with Juxi and Leopold for the work on the new issue of acta futura, and I think it is quite nice. The problem right now is that only a few people in the team have an account (and I have exhausted my invitations). Maybe you have one or two you are willing to share? :)

How Google finally makes its money, we were having this discussion some time ago

Flight simulator in Google Earth.

Interestingly, Google uses optical character recognition (ocr) on pdfs that their bots find online, and then convert to html to make them searchable.

Unique opportunity to get back in time to 2001

interesting that Google is getting involved into this. The article describes well the situation though, lots of ideas, existing technology but no framework and solid products yet

Actually quite interesting and in-depth

The Wall Street Journal hears that the search firm is preparing to build 180 "small, high capacity" satellites that will go into low orbit and provide internet connections to underserved areas

sorry, did not see your earlier post ... fully altruistic move of course as they claim

actually I posted about it first :P

pretty impressive stuff!

LSTMs: that was also the first thing in the paper that caught my attention! :) I hadn't seen them in the wild in years... My oversight most likely. The paper seems to be getting ~100 citations a year. Someone's using them.

There are a few papers on them. Though you have to be lucky to get them to work. The backprop is horrendous.

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

And the interface even looks a bit less retarded than theano

Not a science related article but rather an in depth look at what makes a team succeed.

Shorter version available here, highlighting the 5 key points: https://rework.withgoogle.com/blog/five-keys-to-a-successful-google-team/

"To create Sketch-RNN, Google Brain researchers David Ha and Douglas Eck collected more than five million user-drawn sketches from the Google tool Quick, Draw! Each time a user drew something on the app, it recorded not only the final image, but also the order and direction of every pen stroke used to make it. The resulting data gives a more complete picture (ho, ho, ho) of how we really draw." It's funny because this David Ha used to be a quant banker ha ha

And this, kids, is why cloud computing is bad.

Its already "old" news but kinda nice...

any idea if what the canadians claim to sell is closer to a quantum computer than what they did 2011? (I remember Luzi's comment back then that this had nothing to do with a quantum computer) Canada being member state of ESA ... should we start getting interested?

Google Glass 2.0 aka Google Contacts

google paper on quantum computers ... anybody with further insight on how realistic this is

Not an answer to Leopold's question but here is a little primer on quantum computers for those that are (like me) still confused about what they actually do: http://www.dwavesys.com/tutorials/background-reading-series/quantum-computing-primer It give a good intuitive idea of the kinds of problems that an adiabatic quantum computer can tackle, an easy analogy of the computation and an explanation of how this get set up in the computer. Also, there is emphasis on how and why quantum computers lend themselves to machine learning (and maybe trajectory optimization??? - ;-) ).