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A Berkeley View of Systems Challenges for AI

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Presentation on theme: "A Berkeley View of Systems Challenges for AI"— Presentation transcript:

1 A Berkeley View of Systems Challenges for AI
이예빈

2 Contents Introduction Trends and Challenges Research opportunities
-Mission critical AI -Personalized AI -AI across organizations -AI demands outpacing the Moore’s Law Trends and Challenges Research opportunities Conclusion

3 접근성 데이터 INTRO 소프트웨어 인공지능이란? 해결해야 하는 문제들? -Mission critical AI
-Personalized AI -AI across organizations -AI demands outpacing the Moore’s Law

4 Challenge1: 딜레마 상황 대처

5 Challenge2: Personalizing vs privacy

6 Challenge3: without compromising confidentiality!

7 Challenge4: outpace the Moore’s Law!
현 상황: 데이터 증가 속도>>기술 발전 속도

8 Berkeley view resolutions to these problems
Acting in dynamic environments! Continual learning: 인공지능을 데이터 입력과 동시에 트 레이닝! Robust decisions: add system support to machine learning Explainable decisions: 진단의 정확성을 통계적으로 분석/ 결과에 대한 합리적인 설명 Provenance(발원지) 원인과 결과의 메커니즘 파악

9 EOD


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