the speed of technology and us · 카카오 브레인 2017.11.02 the speed of technology and us ai...
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카카오 브레인2017.11.02
The Speed of Technology and Us AI is the New Electricity
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1. AI 과거와 현재 그리고 내일
2. AI 플랫폼으로 진화
3. AI 시대 경쟁력 확보 전략
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결국 넘지 못한 AI의 벽!
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스스로 학습하는 알파고 Zero의 등장
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*source l http://www.motherjones.com/media/2013/05/robots-artificial-intelligence-jobs-automation
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Near Future of Super Intelligence ?
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*source l http://archives.newyorker.com/?iid=155929&startpage=page0000056#folio=CV1
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Near Future of AI Era ?
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1997 2011
2016 Next
인간 능력을 뛰어 넘는 AI 발전 역사
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I think that we live in a world where just as electricity transformed almost everything
almost 100 years ago, Today I actually have a hard time thinking of
an industry that I don't think AI will transform in the next several years
Andrew Ng
전, Baidu 연구소 Chief (최근 Resign )
스탠포드대 교수
Coursera 공동 창업자
100년 전 ‘전기’가 모든 것을 바꾸었듯 지금은 AI가 몇 년 내에 모든 것을 바꿀 것이다.
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AI is the New Electricity
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이동거리 vs 에너지소비
업무 자동화, 효율성 vs 일자리 대체
정보 vs Fake/Garbage
개인화 vs 24hrEverything
기술의 발전과 그 영향
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1990년대 인터넷으로 하는 것이 새로운 시대
2016년 AI 바둑 알파고의 승리가 새로운 시대
AI 시대의 도래
2000년대 인터넷을 모르면 생존할 수 없는 시대
AI를 모르면 생존할 수 없는 시대
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1. AI 과거와 현재 그리고 내일
2. AI 플랫폼으로 진화
3. AI 시대 경쟁력 확보 전략
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이미지 영상 문자 상황 데이터
…
[ 판단 ] [ 출력 ]
행동
언어
결정
전략
….
[ 입력 ]
AI 개념과 적용 사례
입력된 정보를 판단해 그에 맞는 최고의 결과를 출력하는 것
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superintelligence1.AItoday
ArtificialNarrowIntelligence(ANI):Machineintelligencethatequalsorexceedshumanintelligenceataspecifictask
ArtificialGeneralIntelligence(AGI):Amachinewiththeabilitytoapplyintelligencetoanyproblem,ratherthanjustonespecificproblem
ArtificialSuperintelligence(ASI):Anintellectthatis smarterthanthebesthumanbrains ineveryfield,includingscientificcreativity,generalwisdom&socialskills
source:http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html12
The Emergence of Superintelligence
*source l http://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html
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Google's diabetic retinopathy study
http://jamanetwork.com/journals/jama/article-abstract/2588763, JAMA
논문의목적: 딥러닝을적용해서당뇨망막병증자동검출알고리즘을만들어보자!!
누가: Google!! PhD!! Engineer!!
현재인공지능상황을가장잘표현한논문
산업 경계를 허무는 AI : 의료 분야
Google’s diabetic retinopathy study
> 논문 저자 : Google Engineer
> 논문 목적 : 딥러닝으로 당뇨망막병증 검출 진단시 의사를 넘어서는 성능을 보여줌
*source l https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45732.pdf
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AI기술 산업 적용 사례 - 아마존 Kiva
*source l https://www.youtube.com/watch?v=8gy5tYVR-28
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AI기술 산업 적용 사례 - 아마존의 Next
*source l https://www.youtube.com/watch?v=1QqQLq5hsN4
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AI기술 산업 적용 사례 - Commercial Drone
16*source l https://www.youtube.com/watch?v=slPddwBwMJw
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Tesla 자율주행차 Real Time - Data Processing
17*source l https://www.tesla.com/autopilot
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*source l https://github.com/alexjc/neural-doodle
그림 및 디자인 패턴을 인식해
스타일로 적용하는 기술
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AI 기술 : 디자인 분야
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IT 공룡 GAFA
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서비스 데이터 탤런트
GoogleYouTube
Gmail…
검색영상 소비이메일
…
R&D비용: ~$14B리크루팅: ~$130M
Geoff.HintonDemis HassabisR&D 1,300명+
AmazonPrimeAWS
…
쇼핑콘텐츠
B2B Cloud…
R&D비용: ~$16B리크루팅: ~$228M
AI Job Posting1,200명+
FacebookInstagramMessenger
…
소셜 피드- Text- Image- Video
…
R&D비용: ~$6BYann LeCunR&D 450명+
GAFA의 공세
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기업
*source l 각사 홈페이지 2016년 공시자료, https://disruptionhub.com/ai-talent-war/
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China’s AI Awakening
*source l https://www.bloomberg.com/news/articles/2017-08-14/china-s-plan-for-world-domination-in-ai-isn-t-so-crazy-after-all
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China’s Plan for World Domination in AI Isn’t So Crazy After All
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1. AI 과거와 현재 그리고 내일
2. AI 플랫폼으로 진화
3. AI 시대 경쟁력 확보 전략
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Big Data & Deep Learning
AI 시대 경쟁력 확보 전략
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AI기술 발전을 이끈 핵심 요인
Computing Power Open Research
*source l https://medium.com/@karpathy/a-peek-at-trends-in-machine-learning-ab8a1085a106
The Number of arrive papers submitted
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DATA!! MORE DATA!! GOOD DATA!!
Deep learning is Data-Driven approach!!
Data 확보
딥러닝의 높은 성과는 많은 데이터가 있기에 가능
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Computing Power
대용량 데이터 처리를 위한 분산 컴퓨팅 기술의 발전
Blockchain - Digital Transaction GPU Performance, TPU
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Open Research
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1) 연구 결과 공개
2) 누구나 재생산
3) 공동 작업 & 공동 연구
AI 연구의 선순환 구조
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Kakao AI Eco-System
Kakao AI Eco-System
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Kakao AI Eco-System
ToolBrainConnector
다양한 서비스, 제품을 통해새로운 사용자 경험 제공
다양한 참여로 함께 만들어 가는 AI 생태계
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Before you go to war, assemble allies Art of standards wars - Carl Shapiro and Hal R. Varian