Computation used to train notable artificial intelligence systems
Computation is measured in total petaFLOP, which is 10¹⁵ floating-point operations.
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Charts
- Affiliation of research teams building notable AI systems, by year of publication
- Annual attendance at major artificial intelligence conferences
- Annual global corporate investment in artificial intelligence, by type
- Annual global patent filings for artificial intelligence technologies
- Annual private investment in artificial intelligenceNetBase Quid
- Annual private investment in artificial intelligence, by focus areaNetBase Quid
- Annual scholarly publications on AI, by field of study
- Annual scholarly publications on artificial intelligence
- Chess ability of the best computers
- Computation used to train notable AI systems, by affiliation of researchers
- Cumulative AI-related bills passed into law since 2016
- Datapoints used to train notable artificial intelligence systems
- Employer of new AI PhDs in the United States and Canada
- GPU computational performance per dollar
- ImageNet: Top-performing AI systems in labeling images
- Newly-funded artificial intelligence companies
- Parameters in notable artificial intelligence systems
- Performance of artificial intelligence systems on Atari games
- Protein folding prediction accuracy
- Share of artificial intelligence jobs among all job postings
- Share of companies using artificial intelligence technology
- Share of computer science PhDs specializing in artificial intelligence in the US and Canada
- Share of women among new artificial intelligence and computer science PhDs in the US and Canada