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공공보고서

‘공공보고서’는 사회적인 혐오 문제에 대응하는 전 세계 전문 기관의 각종 정책 자료를 망라한다.

AI Index 2018 Annual Report
  • 저자Yoav Shohamm, Raymond Perrault, Erik Brynjolfsson, Jack Clark, James Manyika, Juan Carlos Niebles, Terah Lyons, John Etchemendy, Barbara Grosz, Zoe Bauer
  • 발행처Stanford Institute for Human-Centered Artificial Intelligence
  • 발행연도2018
  • 작성언어영문
  • 키워드AI Index 2018 Annual Report
  • 자료형태보고서
  • 수록면94쪽
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조회

The AI Index is a starting point for informed conversations about progress in artificial intelligence. The report aggregates a diverse set of metrics, and makes the underlying data easily accessible to the general public. The AI Index Report is broken into 4 large sections:

Volume of Activity
The Volume of Activity metrics capture the "how much" aspects of the field, like attendance at AI conferences and VC investments into startups developing AI systems.

Technical Performance
The Technical Performance metrics capture the "how good" aspects; for example, how well computers can understand images and prove mathematical theorems.

Derivative Measures
We investigate the relationship between trends. We also introduce an exploratory measure, the AI Vibrancy Index, that combines trends across academia and industry to quantify the liveliness of AI as a field.

Towards Human Performance
We outline a short list of notable areas where AI systems have made significant progress towards matching or exceeding human performance. We also discuss the difficulties of such comparisons.

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