AI in climate change : how artificial intelligence can power your climate action strategy
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20211002953 | ||
| 003 | MAP | ||
| 005 | 20220911185730.0 | ||
| 008 | 200416s2020 fra|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.134 | ||
| 245 | 1 | 0 | $aAI in climate change $b: how artificial intelligence can power your climate action strategy$cAnne-Laure Thieullent...[et al.] |
| 260 | $aParis [etc.]$bCapgemini Research Institute$c2020 | ||
| 300 | $a68 p. | ||
| 520 | $aAs the COVID-19 pandemic spread across the world, it also highlighted another major collective hazard we face climate change. Extreme weather events are increasing, lives are being affected and placed in danger, and costs are mounting for governments and industry. Given the urgency of this issue, this report seeks to understand how AI can accelerate our response. | ||
| 650 | 4 | $0MAPA20080574932$aCambio climático | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080605674$aDesarrollo tecnológico | |
| 650 | 4 | $0MAPA20080610425$aEmisiones contaminantes | |
| 650 | 4 | $0MAPA20200005599$aCOVID-19 | |
| 650 | 4 | $0MAPA20080552022$aPandemias | |
| 700 | 1 | $0MAPA20210001581$aThieullent, Anne-Laure | |
| 710 | 2 | $0MAPA20200008163$aCapgemini Research Institute |