*Anecdotes*:

* Doing object recognition used to be a hard problem. If you need a car detector, you would hire five PHDs and let them work on it for a few years. Now it's a solved problem, even your phone has a strong enough computer to do a good job.

* Google voice was unusable for me a few years ago, now it gets my bad English accent.
* DeepMind f*king solved Go. A game that 2 years ago was thought to be 10 years out of reach.
* Object detection is real time, one can use it for self driving cars, the radar solution might be getting outdated.

* 2013 'Wired interview with Geoff Hinton, one of the neural net pioneers':http://www.wired.com/2013/03/google_hinton/
* 2012 'Google cat detector on 16000 machines':http://www.wired.com/2012/06/google-x-neural-network/

And some news:

*And some news*:

Mircea Pasoi and Cristian Strat, after their successful stint at twitter, recently founded Alien Labs. They use deep learning to build intelligent chat bots for an office environment. This is an awesome opportunity to work together again. It's been 8 years since we last did. At Google, we worked on an ads inventory management problem using 'network flows':http://goo.gl/5SDRrM Our claim to fame is that we got help from Cliff Stein, the S in 'CLRS':https://mitpress.mit.edu/books/introduction-algorithms :). This is also an opportunity for me to jump on the deep learning train tackling real world problems.