Prezentace v rámci konference Smart Life, kterou pořádala Technologická agentura ČR dne 20. 10. 2016 v NTK v Praze.

1. Smart Life 2016
František Štrupl, Google
20.10.2016

2. 01001000 01100101 01101100 01101100 01101111

3. Hello
01001000 01100101 01101100 01101100 01101111

4. The World Hello is about :
5 Bytes
of DATA

5. Every day, we produce
2 500 000 000 000 000 000 bytes
of DATA * (trillion)
* IBM - What is Big Data

6. This would make
Four Millions of Millions
of Books
(4 000 000 000 000 Books)

7. All of these books stacked would represent
2x Distance Between
Earth & Moon
(384,400 km / 238,800 mi)

8. What has happened
since I’ve said
“Hello” ?

9. In the last 60 seconds ...
694 rides
Source : Uber

10. In the last 60 seconds ...
400h of Videos
uploaded
Source : Google

11. In the last 60 seconds ...
2.5 Millions
Of requests
Source : Google

12. In the last 60 seconds ...
77k hours
of videos streamed
Source : Netflix

13. In the last 60 seconds ...
75k Transactions
made Online
Source : Statistita

14. In the last 60 seconds ...
591’000
swaps
Source : Tinder

15. Confidential & Proprietary
FAST, UNPREDICTABLE CHANGE
is an absolute certainty

16. Confidential & Proprietary
ENTERING A NEW WORLD
Of Six Screens (yes, six!)
e.g. Samsung
Gear, Google
Glass
[WEARABLE][MOBILE]
e.g.
Project Ara
[TABLET]
e.g.
Senseg
[DESKTOP]
e.g.
Flutter, Leap
Motions, Thalmic
Labs
[IN-CAR]
e.g. HUD
Windscreens
[TV]
e.g.
Chromecast

17. Confidential & ProprietarySource: Digital Star Popularity Grows Versus Mainstream Celebrities by Susanne Alt, July 23, 2015

18. Confidential + Proprietary
THE NEXT 5BN
[100% of Global
Population]
Internet Population
Global Population
2014
[39% of Global
Population]
2.8 BN
7.2 BN
2020
8 BN
*
8 BN
8 BN
Source: (1) eMarketer, Nov 2013; (2) Eric Schmidt estimate*

19. Confidential & Proprietary
New possibilities

20. Artificial Intelligence / Machine Learning

21. 21
Google’s mission is to organize the world’s information
and make it universally accessible and useful.

22. 22
one important technology we use is neural networks
OUTPUTINPUT

23. 23
neural net models learn from examples
labeled photos
“cat”
“dog”
“car”
“apple”
“flower”
OUTPUT

24. 24
neural net models learn from examples
Make tiny adjustments to
model so output is closer
to label for a given image
labeled photos
“cat”
“dog”
“car”
“apple”
“flower”
OUTPUT

25. 25
after a model is trained, you can test it
?
unlabeled photo

26. 26
after a model is trained, you can test it
unlabeled photo
“cat”

27. 27
Input Output
“rice”
“restaurants in Seoul”
“hello!”
“A close up of a small child holding a stuffed animal.”
powerful functions that neural nets can learn
안녕하세요

28. 28
Android
Apps
Gmail
Maps
Photos
Speech
Search
Translation
YouTube
and many others ...
Used across products:
2012 2013 2014 2015
1500
1000
500
0
Number of directories containing model description files
rapidly accelerating use of deep learning at Google

29. DeepMind- AlphaGo
Demis Hassabis

30. 30
Street nameStreet number
Street View
Sign
Business facade
Sign
Business name
Traffic light
Traffic signStreet number

31. 31
Google Photos
31

32. 32
Google Translate
32

33. 33
Smart reply
in Inbox by Gmail
10%
of all responses
sent on mobile

34. Děkuji za pozornost!
František Štrupl
frantisek@google.com