variables: 935640
Data license: CC-BY
This data as json
id | name | unit | description | createdAt | updatedAt | code | coverage | timespan | datasetId | sourceId | shortUnit | display | columnOrder | originalMetadata | grapherConfigAdmin | shortName | catalogPath | dimensions | schemaVersion | processingLevel | processingLog | titlePublic | titleVariant | attributionShort | attribution | descriptionShort | descriptionFromProducer | descriptionKey | descriptionProcessing | licenses | license | grapherConfigETL | type | sort | dataChecksum | metadataChecksum |
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935640 | Cumulative number of large-scale AI systems by country | AI systems | 2024-06-19 14:36:00 | 2024-07-08 16:47:56 | 2017-2024 | 6573 | { "unit": "AI systems" } |
0 | cumulative_count | grapher/artificial_intelligence/2024-06-19/epoch_compute_intensive_countries/epoch_compute_intensive_countries#cumulative_count | 2 | major | Refers to the location of the primary organization with which the authors of a large-scale AI systems are affiliated. An AI system can have multiple authors, each potentially affiliated with different institutions, thus contributing to the count for multiple countries. The 2024 data is incomplete and was last updated 20 June 2024. | [] |
The number of large-scale AI systems by country is determined by tallying the number of machine learning models that are associated with the geographical location of the researchers' affiliated institutions. It's important to note that a single model can have multiple authors, each potentially affiliated with different institutions, thus contributing to the count for multiple countries. | { "note": "Confirmed large-scale AI models are those where the training compute exceeds 10\u00b2\u00b3 floating-point operations (FLOP)." } |
int | [] |
e2a186d9d2cd74b1d25e915a0ec89f83 | 68f77d259e8ab2634db1b8a8fbcaa9d2 |