3. sophistication of AI
basic technology infrastructure
Deep Learning
Pattern Recognition
Statistical Analytics
computing power
open source
R&D institution
x
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4. category of AI
strong AI weak AI
goal: replace a human brain
duplicate a human brain in all purpose
and let it perform any intelligence task
that a human being can.
keyword: deep learning
goal: narrow and limited intelligence
which takes over vertical tasks from
a human brain.
mainly recognize a pattern from
data a machine already experienced
(big data).
a good example is Siri by Apple.
keyword: machine learning
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5. research institution of AI
watson:
a cognitive system which
won at quiz show,
Jeopardy
project adam: image
recognition
OAK4: warehouse robot
deepface: face
recognition AI for
tagging on picture
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6. Application of AI
automation(robotics)agent service (concierge)
security
auto drive(google)
drone delivery(amazon)
security robot(knightscope)
Siri (apple)
google voice(google)
fraud detection(palantir)
voice recognition(barclays)
prediction/problem solving entertainment
media
automatic writing(AP)
Evernote Context(evernote)
deep blue:chess(IBM)
Shogi(将棋) AI
Miku Hatsune AI project
business intelligence(Sentient)
stock trading(Binatix)
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8. DeepMind
deepmind
Headquarters: London
Description: Artificial intelligence company
Founders: Mustafa Suleyman, Shane Legg, Demis Hassabis
Categories: Software
Website: http://deepmind.com
Acquired by Google on Jan, 2014 by $500M
deepmind has created a neural network that
learns how to play video games in a similar
fashion to humans and neural network that
may be able to access an external memory
like a conventional Turing machine, resulting
in a computer that appears to possibly mimic
the short-term memory of the human brain
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9. AlchemyAPI
AlchemyAPI
Headquarters: Denver, CO
Description: AlchemyAPI's web services for
real-time text analysis and computer vision give
you the intelligence needed to transform
unstructured data.
Founders: Elliot Turner
Categories: Text Analytics, Big Data Analytics,
Big Data, Machine Learning, Artificial
Intelligence, Developer APIs, Computer Vision,
Natural Language Processing, Enterprise
Software
Website: http://www.alchemyapi.com
Acquired by IBM on Mar, 2015
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10. Wit.ai
Wit.ai
Acquired by FB on Jan, 2015
Headquarters: Palo Alto, CA
Description: Natural Language for the Internet of Things
Founders: Laurent Landowski, Alex Lebrun, Willy Blandin
Investors: Ycombinator, SV angel, NEA, A16Z
Categories: Software
Website: https://wit.ai
the Wit.ai product lets developers add a few
lines of its code to instantly build in speech
recognition and voice control. its platform will
become the Stripe for voice command APIs
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11. Scaled Inference
Scaled Inference
a platform the company is building is pattern
recognition, anomaly detection, prediction,
and predictive ranking, which will be
accessible by developers by way of a set of
APIs.
Funding Received: $13.6 Million in 2 Rounds from 9
Investors
Most Recent Funding: $8 Million Series A on October,
2014
Headquarters: Palo Alto, CA
Description: Scalable General AI
Founders: Dmitry Lepikhin, Olcan Sercinoglu
Investor: Khosla, SVA, Data Collective, Felicis
Categories: Software, Machine Learning, Artificial
Intelligence
Website: https://scaledinference.com/
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12. Luka.ai
luka.ai
Funding Received: Undisclosed in 1 Round from 1
Investor
Most Recent Funding: Seed on December, 2014 /
Undisclosed Amount
Headquarters: San Francisco, CA
Description: a mobile app that gives restaurant
recommendations in a chat interface
Founders: Eugenia Kuyda, Philip Dudchuk
Categories: Travel, Restaurants, Lifestyle
Website: https://luka.ai/
currentYC batch company(2015w)
places and activities that matter.
Education
Movies
Restaurants
Fitness
Music
Exhibitions
Hotels
Travel
chat interface concierge service.
right now restaurant only but will
expand other verticals including
on demand service.
download here *need us account
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13. 13
Technology - Proprietary User Modeling Drives Personalization
• Interest Graphs describe a user by
combining content understanding
and user behavior
!
• Interest Graphs form the
foundation of easy consumer
personalization
!
• Proprietary Vidora technology
developed by PhDs from Caltech
and Berkeley
Vidora(portfolio)
Vidora, corp
Headquarters: San Francisco, CA
Description: Intelligent Consumer Experience
Optimization
Founders: Alex Holub, Philip West, Abhik Majumdar
Categories: Mobile, Machine Learning, Big Data,
Analytics
Website: http://www.vidora.com
company offers a platform which developers can
incorporate vidora’s machine learning system through the
cloud. with user modeling capability, developer can
optimize its website/any kinds of contents for individual
user.
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14. Elon and Gates position about AI
“I am in the camp that is concerned about super
intelligence,” Gates wrote. “First, the machines
will do a lot of jobs for us and not be super
intelligent. That should be positive if we
manage it well. A few decades after that,
though, the intelligence is strong enough to be a
concern.”
”I agree with Elon Musk and some others on
this and don’t understand why some people are
not concerned.”
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15. “Dubito ergo cogito, cogito ergo sum.”
(I doubt therefore I think, I think therefore I am)
-‐ Rene Descar=es
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