SlideShare a Scribd company logo
1 of 15
Download to read offline
CyberAgent, Inc.
AI
(artificial intelligence)
Dec 2015(originally Mar. 2015)
Daisuke Minamide
15年12月8日火曜日
HAL 9000 -2001: A Space Odyssey-
15年12月8日火曜日
sophistication of AI
basic technology infrastructure
Deep Learning
Pattern Recognition
Statistical Analytics
computing power
open source
R&D institution
x
15年12月8日火曜日
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
15年12月8日火曜日
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
15年12月8日火曜日
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)
15年12月8日火曜日
vc investment in AI
15年12月8日火曜日
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
15年12月8日火曜日
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
15年12月8日火曜日
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
15年12月8日火曜日
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/
15年12月8日火曜日
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
15年12月8日火曜日
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.
15年12月8日火曜日
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.”
15年12月8日火曜日
“Dubito  ergo  cogito,  cogito  ergo  sum.”
(I  doubt  therefore  I  think,  I  think  therefore  I  am)
-­‐  Rene  Descar=es
15年12月8日火曜日

More Related Content

What's hot

Artificial Intelligence(AI).
Artificial Intelligence(AI).Artificial Intelligence(AI).
Artificial Intelligence(AI).Md. Afif Al Mamun
 
Will artificial intelligence replace programmers
Will artificial intelligence replace programmersWill artificial intelligence replace programmers
Will artificial intelligence replace programmersMaciej Dziergwa
 
Artificial Intelligence + Robots
Artificial Intelligence + RobotsArtificial Intelligence + Robots
Artificial Intelligence + RobotsStefano Rodella
 
Artificial Intelligence Overview Powerpoint Presentation Slides
Artificial Intelligence Overview Powerpoint Presentation SlidesArtificial Intelligence Overview Powerpoint Presentation Slides
Artificial Intelligence Overview Powerpoint Presentation SlidesSlideTeam
 
BUS 271 Ryan Roch Artificial Intelligence
BUS 271 Ryan Roch Artificial IntelligenceBUS 271 Ryan Roch Artificial Intelligence
BUS 271 Ryan Roch Artificial IntelligenceGabbieShaw
 
Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)Software in Brussels
 
What is Artificial Intelligence?
What is Artificial Intelligence?What is Artificial Intelligence?
What is Artificial Intelligence?SASSoftware
 
Artificial Intelligence and Future of Work
Artificial Intelligence and Future of WorkArtificial Intelligence and Future of Work
Artificial Intelligence and Future of WorkOleksandr Krakovetskyi
 
Career in artificial inteligence
Career in artificial inteligenceCareer in artificial inteligence
Career in artificial inteligenceSandeep Patnaik
 
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...Adelyn Zhou
 
Artificial Intelligence Presentation
Artificial Intelligence PresentationArtificial Intelligence Presentation
Artificial Intelligence PresentationMiraz Hossain
 
Artificial Intelligence Presentation
Artificial Intelligence Presentation Artificial Intelligence Presentation
Artificial Intelligence Presentation ayushharkawat
 
Artificial Intelligence and Robotics in 2017
Artificial Intelligence and Robotics in 2017Artificial Intelligence and Robotics in 2017
Artificial Intelligence and Robotics in 2017Mike Quindazzi
 
Benefits and risk of artificial intelligence slideshare
Benefits and risk of artificial intelligence slideshareBenefits and risk of artificial intelligence slideshare
Benefits and risk of artificial intelligence slideshareSandeep Mishra
 
Artificial Intelligence & Robotics
Artificial Intelligence & RoboticsArtificial Intelligence & Robotics
Artificial Intelligence & RoboticsBiswajit Pratihari
 
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...Bernard Marr
 
Artificial intelligence - A human revolution
Artificial intelligence - A human revolutionArtificial intelligence - A human revolution
Artificial intelligence - A human revolutionAccenture BeLux
 

What's hot (20)

Ai and productivity
Ai and productivityAi and productivity
Ai and productivity
 
Artificial Intelligence(AI).
Artificial Intelligence(AI).Artificial Intelligence(AI).
Artificial Intelligence(AI).
 
Will artificial intelligence replace programmers
Will artificial intelligence replace programmersWill artificial intelligence replace programmers
Will artificial intelligence replace programmers
 
Artificial Intelligence + Robots
Artificial Intelligence + RobotsArtificial Intelligence + Robots
Artificial Intelligence + Robots
 
Artificial Intelligence Overview Powerpoint Presentation Slides
Artificial Intelligence Overview Powerpoint Presentation SlidesArtificial Intelligence Overview Powerpoint Presentation Slides
Artificial Intelligence Overview Powerpoint Presentation Slides
 
BUS 271 Ryan Roch Artificial Intelligence
BUS 271 Ryan Roch Artificial IntelligenceBUS 271 Ryan Roch Artificial Intelligence
BUS 271 Ryan Roch Artificial Intelligence
 
Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)Artificial Intelligence overview (by impulse)
Artificial Intelligence overview (by impulse)
 
What is Artificial Intelligence?
What is Artificial Intelligence?What is Artificial Intelligence?
What is Artificial Intelligence?
 
Artificial Intelligence and Future of Work
Artificial Intelligence and Future of WorkArtificial Intelligence and Future of Work
Artificial Intelligence and Future of Work
 
Career in artificial inteligence
Career in artificial inteligenceCareer in artificial inteligence
Career in artificial inteligence
 
A.I
A.IA.I
A.I
 
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...
Applied Artificial Intelligence: How Machine Learning Transforms How We Live ...
 
Artificial Intelligence Presentation
Artificial Intelligence PresentationArtificial Intelligence Presentation
Artificial Intelligence Presentation
 
Artificial Intelligence Presentation
Artificial Intelligence Presentation Artificial Intelligence Presentation
Artificial Intelligence Presentation
 
Artificial Intelligence and Robotics in 2017
Artificial Intelligence and Robotics in 2017Artificial Intelligence and Robotics in 2017
Artificial Intelligence and Robotics in 2017
 
Benefits and risk of artificial intelligence slideshare
Benefits and risk of artificial intelligence slideshareBenefits and risk of artificial intelligence slideshare
Benefits and risk of artificial intelligence slideshare
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
Artificial Intelligence & Robotics
Artificial Intelligence & RoboticsArtificial Intelligence & Robotics
Artificial Intelligence & Robotics
 
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...
What Is The Difference Between Weak (Narrow) And Strong (General) Artificial ...
 
Artificial intelligence - A human revolution
Artificial intelligence - A human revolutionArtificial intelligence - A human revolution
Artificial intelligence - A human revolution
 

Viewers also liked

HTM & Apache Flink (2016-06-27)
HTM & Apache Flink (2016-06-27)HTM & Apache Flink (2016-06-27)
HTM & Apache Flink (2016-06-27)Eron Wright
 
農業AIアイディアソン資料 (2016.12.5開催)
農業AIアイディアソン資料 (2016.12.5開催)農業AIアイディアソン資料 (2016.12.5開催)
農業AIアイディアソン資料 (2016.12.5開催)Kohei Mochida
 
Wo! vol.37 事例から発想する人工知能系サービスの可能性
Wo! vol.37 事例から発想する人工知能系サービスの可能性Wo! vol.37 事例から発想する人工知能系サービスの可能性
Wo! vol.37 事例から発想する人工知能系サービスの可能性thinkjam.Inc.
 
農業AIハッカソンマイクロソフト様発表資料
農業AIハッカソンマイクロソフト様発表資料農業AIハッカソンマイクロソフト様発表資料
農業AIハッカソンマイクロソフト様発表資料Kohei Mochida
 
AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法
AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法
AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法Kazuki Nakajima
 
ハッカソン。来た、見た、負けた! Spajam2016仙台予選
ハッカソン。来た、見た、負けた! Spajam2016仙台予選ハッカソン。来た、見た、負けた! Spajam2016仙台予選
ハッカソン。来た、見た、負けた! Spajam2016仙台予選baban ba-n
 
農業Aiハッカソン
農業Aiハッカソン農業Aiハッカソン
農業AiハッカソンKohei Mochida
 
Watson x Unityで広がる可能性
Watson x Unityで広がる可能性Watson x Unityで広がる可能性
Watson x Unityで広がる可能性kazuya noshiro
 
うんかいったーハッカソン 2016 02-20
うんかいったーハッカソン 2016 02-20うんかいったーハッカソン 2016 02-20
うんかいったーハッカソン 2016 02-20Katsuhiro Morishita
 
R-CISC Summit 2016 Borderless Threat Intelligence
R-CISC Summit 2016 Borderless Threat IntelligenceR-CISC Summit 2016 Borderless Threat Intelligence
R-CISC Summit 2016 Borderless Threat IntelligenceJason Trost
 
WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~
WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~ WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~
WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~ Harada Kazuki
 
Watson活用事例~Watsonハッカソンの例を通じて~
Watson活用事例~Watsonハッカソンの例を通じて~Watson活用事例~Watsonハッカソンの例を通じて~
Watson活用事例~Watsonハッカソンの例を通じて~Hiroki Nakayama
 
農業Aiハッカソンやってみた20170218 dist
農業Aiハッカソンやってみた20170218 dist農業Aiハッカソンやってみた20170218 dist
農業Aiハッカソンやってみた20170218 distKohei Mochida
 
IBM Connect 2017 フィードバックセッション
IBM Connect 2017 フィードバックセッションIBM Connect 2017 フィードバックセッション
IBM Connect 2017 フィードバックセッションHikaru Matsuura
 

Viewers also liked (16)

HTM & Apache Flink (2016-06-27)
HTM & Apache Flink (2016-06-27)HTM & Apache Flink (2016-06-27)
HTM & Apache Flink (2016-06-27)
 
15 ai農業ハッカソン
15 ai農業ハッカソン15 ai農業ハッカソン
15 ai農業ハッカソン
 
農業AIアイディアソン資料 (2016.12.5開催)
農業AIアイディアソン資料 (2016.12.5開催)農業AIアイディアソン資料 (2016.12.5開催)
農業AIアイディアソン資料 (2016.12.5開催)
 
Wo! vol.37 事例から発想する人工知能系サービスの可能性
Wo! vol.37 事例から発想する人工知能系サービスの可能性Wo! vol.37 事例から発想する人工知能系サービスの可能性
Wo! vol.37 事例から発想する人工知能系サービスの可能性
 
農業AIハッカソンマイクロソフト様発表資料
農業AIハッカソンマイクロソフト様発表資料農業AIハッカソンマイクロソフト様発表資料
農業AIハッカソンマイクロソフト様発表資料
 
AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法
AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法
AIを組み込んだ近未来のアプリケーションで感じる新しいサービスの新しい開発手法
 
ハッカソン。来た、見た、負けた! Spajam2016仙台予選
ハッカソン。来た、見た、負けた! Spajam2016仙台予選ハッカソン。来た、見た、負けた! Spajam2016仙台予選
ハッカソン。来た、見た、負けた! Spajam2016仙台予選
 
農業Aiハッカソン
農業Aiハッカソン農業Aiハッカソン
農業Aiハッカソン
 
Watson x Unityで広がる可能性
Watson x Unityで広がる可能性Watson x Unityで広がる可能性
Watson x Unityで広がる可能性
 
うんかいったーハッカソン 2016 02-20
うんかいったーハッカソン 2016 02-20うんかいったーハッカソン 2016 02-20
うんかいったーハッカソン 2016 02-20
 
R-CISC Summit 2016 Borderless Threat Intelligence
R-CISC Summit 2016 Borderless Threat IntelligenceR-CISC Summit 2016 Borderless Threat Intelligence
R-CISC Summit 2016 Borderless Threat Intelligence
 
WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~
WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~ WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~
WatsonQA応用編~BluemixとWatson Engagement Advisor(WEA)連携~
 
Watson活用事例~Watsonハッカソンの例を通じて~
Watson活用事例~Watsonハッカソンの例を通じて~Watson活用事例~Watsonハッカソンの例を通じて~
Watson活用事例~Watsonハッカソンの例を通じて~
 
農業Aiハッカソンやってみた20170218 dist
農業Aiハッカソンやってみた20170218 dist農業Aiハッカソンやってみた20170218 dist
農業Aiハッカソンやってみた20170218 dist
 
AIの未来 ~技術と社会の関係のダイナミクス~
AIの未来~技術と社会の関係のダイナミクス~AIの未来~技術と社会の関係のダイナミクス~
AIの未来 ~技術と社会の関係のダイナミクス~
 
IBM Connect 2017 フィードバックセッション
IBM Connect 2017 フィードバックセッションIBM Connect 2017 フィードバックセッション
IBM Connect 2017 フィードバックセッション
 

Similar to Ai

When artificial intelligence meets user experience
When artificial intelligence meets user experienceWhen artificial intelligence meets user experience
When artificial intelligence meets user experienceAlex Avissar Tim
 
Artificial Intelligence explained simplistically
Artificial Intelligence explained simplisticallyArtificial Intelligence explained simplistically
Artificial Intelligence explained simplisticallyNBC Bearings
 
How to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence TechnologyHow to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence TechnologyIntelCollab.com
 
How to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence TechnologyHow to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence TechnologyArik Johnson
 
AI & Business - Opportunities & Dangers
AI & Business - Opportunities & DangersAI & Business - Opportunities & Dangers
AI & Business - Opportunities & Dangerswillmurphy
 
unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptx
unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptxunleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptx
unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptxUsama Wahab Khan Cloud, Data and AI
 
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningArtificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningMykola Dobrochynskyy
 
Understanding the New World of Cognitive Computing
Understanding the New World of Cognitive ComputingUnderstanding the New World of Cognitive Computing
Understanding the New World of Cognitive ComputingDATAVERSITY
 
Deepdive in AIML venture landscape By Ajit Nazre Rahul Garg
Deepdive in AIML venture landscape By Ajit Nazre Rahul GargDeepdive in AIML venture landscape By Ajit Nazre Rahul Garg
Deepdive in AIML venture landscape By Ajit Nazre Rahul GargAjit Nazre
 
CWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pubCWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pubCapgemini
 
Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.
Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.
Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.Sylvain Carle
 
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...IT Arena
 
British companies helping to turn AI from science fiction into fact | The Times
British companies helping to turn AI from science fiction into fact | The TimesBritish companies helping to turn AI from science fiction into fact | The Times
British companies helping to turn AI from science fiction into fact | The TimesVishal Chatrath
 
'Converge' Report - Shaping Artificial Intelligence for Southeast Asia
'Converge' Report - Shaping Artificial Intelligence for Southeast Asia'Converge' Report - Shaping Artificial Intelligence for Southeast Asia
'Converge' Report - Shaping Artificial Intelligence for Southeast AsiaShu Jun Lim
 
Artificial Intelligence (AI) 100 Startups 2017
Artificial Intelligence (AI) 100 Startups 2017Artificial Intelligence (AI) 100 Startups 2017
Artificial Intelligence (AI) 100 Startups 2017Sota Watanabe
 

Similar to Ai (20)

When artificial intelligence meets user experience
When artificial intelligence meets user experienceWhen artificial intelligence meets user experience
When artificial intelligence meets user experience
 
Artificial Intelligence explained simplistically
Artificial Intelligence explained simplisticallyArtificial Intelligence explained simplistically
Artificial Intelligence explained simplistically
 
How to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence TechnologyHow to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence Technology
 
How to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence TechnologyHow to Prepare for 2025's Intelligence Technology
How to Prepare for 2025's Intelligence Technology
 
Companies working on ai
Companies working on aiCompanies working on ai
Companies working on ai
 
Talk_AI_in_Africa
Talk_AI_in_AfricaTalk_AI_in_Africa
Talk_AI_in_Africa
 
AI & Business - Opportunities & Dangers
AI & Business - Opportunities & DangersAI & Business - Opportunities & Dangers
AI & Business - Opportunities & Dangers
 
unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptx
unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptxunleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptx
unleshing the the Power Azure Open AI - MCT Summit middle east 2024 Riyhad.pptx
 
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningArtificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
 
Understanding the New World of Cognitive Computing
Understanding the New World of Cognitive ComputingUnderstanding the New World of Cognitive Computing
Understanding the New World of Cognitive Computing
 
Deepdive in AIML venture landscape By Ajit Nazre Rahul Garg
Deepdive in AIML venture landscape By Ajit Nazre Rahul GargDeepdive in AIML venture landscape By Ajit Nazre Rahul Garg
Deepdive in AIML venture landscape By Ajit Nazre Rahul Garg
 
CWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pubCWIN17 san francisco-ai implementation-pub
CWIN17 san francisco-ai implementation-pub
 
Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.
Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.
Intelligence artificielle. Pourquoi et comment. Web à Québec 2017.
 
Ai ppt
Ai pptAi ppt
Ai ppt
 
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...
IoT, AI, ML Mix or How to Deal with New Technologies (Borys Pratsiuk Technolo...
 
Ai trend report
Ai trend reportAi trend report
Ai trend report
 
British companies helping to turn AI from science fiction into fact | The Times
British companies helping to turn AI from science fiction into fact | The TimesBritish companies helping to turn AI from science fiction into fact | The Times
British companies helping to turn AI from science fiction into fact | The Times
 
Iincore labs portfolio
Iincore labs portfolioIincore labs portfolio
Iincore labs portfolio
 
'Converge' Report - Shaping Artificial Intelligence for Southeast Asia
'Converge' Report - Shaping Artificial Intelligence for Southeast Asia'Converge' Report - Shaping Artificial Intelligence for Southeast Asia
'Converge' Report - Shaping Artificial Intelligence for Southeast Asia
 
Artificial Intelligence (AI) 100 Startups 2017
Artificial Intelligence (AI) 100 Startups 2017Artificial Intelligence (AI) 100 Startups 2017
Artificial Intelligence (AI) 100 Startups 2017
 

Recently uploaded

社内勉強会資料  Mamba - A new era or ephemeral
社内勉強会資料   Mamba - A new era or ephemeral社内勉強会資料   Mamba - A new era or ephemeral
社内勉強会資料  Mamba - A new era or ephemeralNABLAS株式会社
 
Formulas dax para power bI de microsoft.pdf
Formulas dax para power bI de microsoft.pdfFormulas dax para power bI de microsoft.pdf
Formulas dax para power bI de microsoft.pdfRobertoOcampo24
 
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理pyhepag
 
Fuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyFuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyRafigAliyev2
 
一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理cyebo
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理pyhepag
 
Generative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdfGenerative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdfEmmanuel Dauda
 
一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理cyebo
 
The Significance of Transliteration Enhancing
The Significance of Transliteration EnhancingThe Significance of Transliteration Enhancing
The Significance of Transliteration Enhancingmohamed Elzalabany
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理pyhepag
 
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...Valters Lauzums
 
How I opened a fake bank account and didn't go to prison
How I opened a fake bank account and didn't go to prisonHow I opened a fake bank account and didn't go to prison
How I opened a fake bank account and didn't go to prisonPayment Village
 
Pre-ProductionImproveddsfjgndflghtgg.pptx
Pre-ProductionImproveddsfjgndflghtgg.pptxPre-ProductionImproveddsfjgndflghtgg.pptx
Pre-ProductionImproveddsfjgndflghtgg.pptxStephen266013
 
Exploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptxExploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptxDilipVasan
 
Easy and simple project file on mp online
Easy and simple project file on mp onlineEasy and simple project file on mp online
Easy and simple project file on mp onlinebalibahu1313
 
basics of data science with application areas.pdf
basics of data science with application areas.pdfbasics of data science with application areas.pdf
basics of data science with application areas.pdfvyankatesh1
 
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictSupply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictJack Cole
 
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...ssuserf63bd7
 

Recently uploaded (20)

Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotecAbortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
Abortion pills in Dammam Saudi Arabia// +966572737505 // buy cytotec
 
社内勉強会資料  Mamba - A new era or ephemeral
社内勉強会資料   Mamba - A new era or ephemeral社内勉強会資料   Mamba - A new era or ephemeral
社内勉強会資料  Mamba - A new era or ephemeral
 
Formulas dax para power bI de microsoft.pdf
Formulas dax para power bI de microsoft.pdfFormulas dax para power bI de microsoft.pdf
Formulas dax para power bI de microsoft.pdf
 
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
一比一原版加利福尼亚大学尔湾分校毕业证成绩单如何办理
 
Fuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertaintyFuzzy Sets decision making under information of uncertainty
Fuzzy Sets decision making under information of uncertainty
 
一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理一比一原版麦考瑞大学毕业证成绩单如何办理
一比一原版麦考瑞大学毕业证成绩单如何办理
 
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
一比一原版(Monash毕业证书)莫纳什大学毕业证成绩单如何办理
 
Generative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdfGenerative AI for Trailblazers_ Unlock the Future of AI.pdf
Generative AI for Trailblazers_ Unlock the Future of AI.pdf
 
一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理一比一原版纽卡斯尔大学毕业证成绩单如何办理
一比一原版纽卡斯尔大学毕业证成绩单如何办理
 
The Significance of Transliteration Enhancing
The Significance of Transliteration EnhancingThe Significance of Transliteration Enhancing
The Significance of Transliteration Enhancing
 
一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理一比一原版阿德莱德大学毕业证成绩单如何办理
一比一原版阿德莱德大学毕业证成绩单如何办理
 
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
Data Analytics for Digital Marketing Lecture for Advanced Digital & Social Me...
 
How I opened a fake bank account and didn't go to prison
How I opened a fake bank account and didn't go to prisonHow I opened a fake bank account and didn't go to prison
How I opened a fake bank account and didn't go to prison
 
Pre-ProductionImproveddsfjgndflghtgg.pptx
Pre-ProductionImproveddsfjgndflghtgg.pptxPre-ProductionImproveddsfjgndflghtgg.pptx
Pre-ProductionImproveddsfjgndflghtgg.pptx
 
Exploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptxExploratory Data Analysis - Dilip S.pptx
Exploratory Data Analysis - Dilip S.pptx
 
Easy and simple project file on mp online
Easy and simple project file on mp onlineEasy and simple project file on mp online
Easy and simple project file on mp online
 
Slip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp ClaimsSlip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp Claims
 
basics of data science with application areas.pdf
basics of data science with application areas.pdfbasics of data science with application areas.pdf
basics of data science with application areas.pdf
 
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictSupply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
 
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
Data Visualization Exploring and Explaining with Data 1st Edition by Camm sol...
 

Ai

  • 1. CyberAgent, Inc. AI (artificial intelligence) Dec 2015(originally Mar. 2015) Daisuke Minamide 15年12月8日火曜日
  • 2. HAL 9000 -2001: A Space Odyssey- 15年12月8日火曜日
  • 3. sophistication of AI basic technology infrastructure Deep Learning Pattern Recognition Statistical Analytics computing power open source R&D institution x 15年12月8日火曜日
  • 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 15年12月8日火曜日
  • 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 15年12月8日火曜日
  • 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) 15年12月8日火曜日
  • 7. vc investment in AI 15年12月8日火曜日
  • 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 15年12月8日火曜日
  • 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 15年12月8日火曜日
  • 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 15年12月8日火曜日
  • 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/ 15年12月8日火曜日
  • 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 15年12月8日火曜日
  • 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. 15年12月8日火曜日
  • 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.” 15年12月8日火曜日
  • 15. “Dubito  ergo  cogito,  cogito  ergo  sum.” (I  doubt  therefore  I  think,  I  think  therefore  I  am) -­‐  Rene  Descar=es 15年12月8日火曜日