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Machine Learning / Artificial
Intelligence
OUR FUTURE WITH THE MACHINE

ALEX POON

2/27/2014
ALEX POON

•

VP Engineering @ Outbrain (JUST QUIT)

•

Co-founder of Visual Revenue (Acquired by Outbrain 2013)

•

Love ...
ARTIFICIAL INTELLIGENCE
MACHINE LEARNING

INPUT

BLACK BOX

OUTPUT

TRAINING
DATA
ARTIFICIAL INTELLIGENCE
The INTELLIGENCE exhibited by machines or software, and the
branch of computer science that develo...
intelligence

REASONING

Human Only

Human +
Data Informed

algorithmic

Human +
Machine Assisted

Machine Only
http://x.a...
intelligence

REASONING

Human Only

Human +
Data Informed

algorithmic

Human +
Machine Assisted

Machine Only
http://x.a...
What about the future?
HUMAN ONLY

MACHINE ONLY
FUTURE: A little bit of both
More Data Sources

Working with Machines

Natural Languages
Now

H Only
H + Data
Informed
H+M...
Working with Machines
1

INPUT

2

INPUT
Input

3

Input
INPUT

Analyze

Analyze

Analyze

Decide

Decide

Decide
Working with Machines
1

INPUT

2

INPUT
Input

3

Input
INPUT

Analyze

Analyze

Analyze

Decide

Decide

Decide
SUMMARY
•

Strong Machine Learning techniques != Intelligence

•

In the near future, more data, sensors, natural language...
ALEX POON
alexpoonnyc@gmail.com
@alexpoon06
Excited about Machine Learning, NLP, and Data Engineering?

Look me up!
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Machine Learning and Artificial Intelligence; Our future relationship with the machines

The difference between Machine Learning and Artificial Intelligence. A discussion on the various future scenarios of working with Big Data and how human can compliment machines to solve more complex challenges

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Machine Learning and Artificial Intelligence; Our future relationship with the machines

  1. 1. Machine Learning / Artificial Intelligence OUR FUTURE WITH THE MACHINE ALEX POON 2/27/2014
  2. 2. ALEX POON • VP Engineering @ Outbrain (JUST QUIT) • Co-founder of Visual Revenue (Acquired by Outbrain 2013) • Love scalable systems, machine learning; Fascinated by Robots • Used to build signal intelligence software for Unmanned Aerial Vehicle (UAV) • Play Zerg in Starcraft II
  3. 3. ARTIFICIAL INTELLIGENCE
  4. 4. MACHINE LEARNING INPUT BLACK BOX OUTPUT TRAINING DATA
  5. 5. ARTIFICIAL INTELLIGENCE The INTELLIGENCE exhibited by machines or software, and the branch of computer science that develops machines and software with INTELLIGENCE. MACHINE LEARNING A branch of artificial intelligence, concerns the construction and study of systems that can LEARN from data SOURCE WIKIPEDIA
  6. 6. intelligence REASONING Human Only Human + Data Informed algorithmic Human + Machine Assisted Machine Only http://x.ai/2014/01/23/our-future-relationship-with-robots/ manual ACTION automatic
  7. 7. intelligence REASONING Human Only Human + Data Informed algorithmic Human + Machine Assisted Machine Only http://x.ai/2014/01/23/our-future-relationship-with-robots/ manual ACTION automatic
  8. 8. What about the future? HUMAN ONLY MACHINE ONLY
  9. 9. FUTURE: A little bit of both More Data Sources Working with Machines Natural Languages Now H Only H + Data Informed H+M Assisted M Only Future H Only H + Data Informed H + M Assisted M Only
  10. 10. Working with Machines 1 INPUT 2 INPUT Input 3 Input INPUT Analyze Analyze Analyze Decide Decide Decide
  11. 11. Working with Machines 1 INPUT 2 INPUT Input 3 Input INPUT Analyze Analyze Analyze Decide Decide Decide
  12. 12. SUMMARY • Strong Machine Learning techniques != Intelligence • In the near future, more data, sensors, natural language input • Machine and human cooperate to solve complex problems • Human judgments can improve algorithms when done right • We can partner with machines if we understand them
  13. 13. ALEX POON alexpoonnyc@gmail.com @alexpoon06 Excited about Machine Learning, NLP, and Data Engineering? Look me up!

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