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Quantum leaps in the quality of a wide range of everyday technologies
thanks to the Artificial Intelligence
Credits:https://www.yahoo.com/tech/battle-of-the-voice-assistants-siri-cortana-211625975.html
we are increasingly interacting with “our” computers by just talking to them
SpeechRecognition
Google Translate now renders spoken sentences in one language into spoken sentences in
another, for 32 pairs of languages and offers text translation for 100+ languages.
Natural LanguageProcessing
Google Translate now renders spoken sentences in one language into spoken sentences in
another, for 32 pairs of languages and offers text translation for 100+ languages.
Natural LanguageProcessing
Google Translate now renders spoken sentences in one language into spoken sentences in
another, for 32 pairs of languages and offers text translation for 100+ languages.
Natural LanguageProcessing
Now our computers can recognize images and generate descriptions for
photos in seconds.Computer
Vision
All these three areas are crucial to unleashing improvements in robotics,
drones, self-driving cars, etc.
Source: http://edition.cnn.com/2013/05/16/tech/innovation/robot-bar tender-mit-google-makr-shakr/
All these three areas are crucial to unleashing improvements in robotics,
drones, self-driving cars, etc.
Source:http://axisphilly.org/article/military-drones-philadelphia-base-control/
All these three areas are crucial to unleashing improvements in robotics,
drones, self-driving cars, etc.
Source:http://fortune.com/2016/04/23/china-self-driving-cars/
Many of these breakthroughs have been made possible by a family of Artificial Intelligence techniques popularly known as DEEP LEARNING
Many of these breakthroughs have been made possible by a family of Artificial Intelligence techniques popularly known as DEEP LEARNING
Although the greatest impacts of deep learning may be obtained when it is integrated into the whole toolbox of other AI techniques
Artificial Intelligence, Neural Networks,
are not a new concepts!
John McCarthy coined the term Artificial Intelligence
in the 1950s
http://www.independent.co.uk/news/obituaries/john-mccarthy-computer-scientist-known-as-the-father-of-ai-6255307.html
In 1958 Frank Rosenblatt built a prototype neural net, which he called the Perceptron
Source:http://www.enzyklopaedie-der-wirtschaftsinformatik.de/wi-enzyklopaedie/Members/wilex4/Rosen-2.jpg/image_preview
Even the FIB in Barcelona, was
teaching AI in 1982
Why, Artificial intelligence has, all of a sudden, become the next big thing
again during this decade?
Source:Economist
,Feb25th,2010http://w
ww.econom
ist.com/node/15579717
now AI algorithms can be “trained” by exposing them to large data sets that were previously unavailable.The data deluge
and the Computing Powernecessary to implement
AI algorithms is now available
Do you know what “my” computer was like in 1982?
Credits: http://w
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Credits: http://w
ww
.ithistory.org/sites/default/files/hardware/facom
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FACOM 230 – FujitsuInstructions per second: few Mips * (M = 1.000.000) Processors : 1
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Convex Computer C3480 Instructions per second: 800 Mips (400 Flops)Processors : 8
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IBM RS6000 SPInstructions per second: 192.000 MFlopsProcessors : 128
MARENOSTRUM III - IBMInstructions per second: 1.000.000.000 MFlopsProcessors : 6046 (48448 cores)
Until then, the increase in computational powerevery decade of “my” computer, was mainly
thanks to CPU improvements!
Why is Deep Learning so popular and in demand these days?
(CPU improvements?)
SOURCE: https://www.hpcwire.com/2016/11/23/nvidia-sees-bright-future-ai-supercomputing/?eid=330373742&bid=1597894
Since then, the increase in computational power for deep learning has not only been from CPU improvements …
but also from the realization that GPUs (NVIDIA) were 20 to 50 times more efficient than traditional CPUs.
And Intel … (*) Intel spent more than $400 million to buy this deep-learning startup.
And AMD…
https://www.hpcwire.com/2016/12/13/amd-instinct-machine-intelligence/?eid=330373742&bid=1617147
And Google ...
Google revealed few months ago, that for over a year it had been secretly using its own tailor-made chips, called tensor processing units, or TPUs, to implement applications trained by deep learning.
SOURCE: Google
Marenostrum 4 will have more than 3,400 new generation Intel Xeon processors nodes & emerging technologies as
Power + NVIDIA GPUs, Intel Knights Landing and Intel Knights Hill, ARMv8, …
COMPUTING POWER is the real enabler!
What if I do not have this hardware?
However, now we are entering into an era of computation
democratization for companies !
And what is “my/your” computer like now?
Source: http://www.google.com/about/datacenters/gallery/images
And what is “my/your” computer like now?
28.000 m2
Credits:http://datacenterfrontier.com/server-farms-writ-large-super-sizing-the-cloud-campus/
Huge data centers!
Foto:Go
ogle
28.000 m2
Foto:Go
ogle
28.000 m2
Foto:Go
ogle
28.000 m2
For those (experts) who want to develop their own software, cloud services like Amazon Web Services
provide GPU-driven deep-learning computation services
And Google ...
And what about the software that we require for AI?
An open-source world for the AI software
Plentiful open-source software have greased the innovation process
as has an open-publication ethic, whereby many researchers publish their results immediately on one
database without awaiting peer-review approval.
And for “less expert” people, various companiesare providing a working scalable implementation of
ML/AI algorithms as a Service (AI-as-a-Service)
Source: https://twitter.com/smolix/status/804005781381128192Source: http://www.kdnuggets.com/2015/11/machine-learning-apis-data-science.html
Artificial intelligence will transform everything
Even the food we eat or the beer we drink will be affected!
Even the food we eat or the beer we drink will be affected!
Source: http://edition.cnn.com/2013/05/16/tech/innovation/robot-bartender-mit-google-makr-shakr/
Source: http://edition.cnn.com/2013/05/16/tech/innovation/robot-bartender-mit-google-makr-shakr/
Robot bartender creates crowd-sourced cocktails
Artificial Intelligence application areasSo
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Artificial Intelligence application areasSo
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s://s
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Computers can now teach themselves
No human being has programmed a computer to perform any of the stunts described above.
Expose a learning algorithm to terabytes of data to train it, and then allow the computer
to figure out for itself how to proceed.
Source: https://cs.byu.edu/artificial-intelligence-and-machine-learning
AlphaGo wasn’t designed to play Go, it learnt it by playing!
Source: http://fortune.com/2016/04/23/china-self-driving-cars/Source: https://gogameguru.com/alphago-defeats-lee-sedol-game-1/
And this can be applied to many sectors, not just for playing!
IBM has bought a handful of companies with vast stores of medical data databases and is using Artificial Intelligence
to try to help doctors spot diseases more rapidly.
http://www.techradar.com/news/calling-dr-watson-ibms-ai-helps-to-diagnose-diseases
A bit of provocation!(To stimulate further discussion during Q&A)
source:http://www.express.co.uk/sport/football/779169/Barcelona-manager-news-Ernesto-Valverde-Luis-Enrique-Mauricio-Pochettino
AlphaGo: can we use it for doing a step further?
Remember: It wasn’t designed to play Go, it learnt to compete by himself!
• Opta Sports• Instat• Stats Prozone• Tracab• Beemray• nac• Wyscout• Er1c• Metrica Sports• Mediacoach• ...
Some of my friendstold me about:
ADVERSARIAL SEARCH TREE: example Tic-Tac-Toe
Fortunately...
Football is a complex game of strategy,
a field of imperfect information!(this is not the case of GO)
Libratus?
19.0000.000hoursofcomputation
Poker: an imperfect information game with 10160 combinations
Like Poker, football has an enormous amount of potential game states, in which heaps of different actions are possible in every game situation
Libratus: can we use it for doing a step further?
T. Sandholm: “The algorithmswe used are not poker specific,they take as input the rules ofthe game and output strategy.”
http://www.csmonitor.com/USA/Society/2017/0204/NFL-viewership-decline-Was-2016-a-turning-point-for-fans
A little more provocative!
https://machinelearnings.co/artificial-intelligence-and-humanless-sports-33-70a8b6eb2ede#.hss2cfs67
Will robots, controlled by AI, one day replace humans in our most widely-viewed sports?
And ....
We talk later J
In the past, a lot of companies wished they had started thinking earlier about their Internet strategy.
In the past, a lot of companies wished they had started thinking earlier about their Internet strategy.
I think in a few years from now there will be a number of companies that wish they had started thinking earlier about their AI strategy.
In the past, a lot of companies wished they had started thinking earlier about their Internet strategy.
I think in a few years from now there will be a number of companies that wish they had started thinking earlier about their AI strategy.
