- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: ACM Computing Surveys (55:2) - New York, NY : Association for Computing Machinery - Art.-Id. 42
- Klassifikation
-
Natürliche Ressourcen, Energie und Umwelt
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Technische Universität Berlin
- (wann)
-
2022
- Urheber
-
Rolnick, David
Donti, Priya L.
Kaack, Lynn H.
Kochanski, Kelly
Lacoste, Alexandre
Sankaran, Kris
Ross, Andrew Slavin
Milojevic-Dupont, Nikola
Jaques, Natasha
Waldman-Brown, Anna
Luccioni, Alexandra Sasha
Maharaj, Tegan
Sherwin, Evan D.
Mukkavilli, S. Karthik
Kording, Konrad P.
Gomes, Carla P.
Ng, Andrew Y.
Hassabis, Demis
Platt, John C.
Creutzig, Felix
Chayes, Jennifer
Bengio, Yoshua
- DOI
-
10.14279/depositonce-15739
- Handle
-
11303/16960
- URN
-
urn:nbn:de:101:1-2022052501580282361518
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:46 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Rolnick, David
- Donti, Priya L.
- Kaack, Lynn H.
- Kochanski, Kelly
- Lacoste, Alexandre
- Sankaran, Kris
- Ross, Andrew Slavin
- Milojevic-Dupont, Nikola
- Jaques, Natasha
- Waldman-Brown, Anna
- Luccioni, Alexandra Sasha
- Maharaj, Tegan
- Sherwin, Evan D.
- Mukkavilli, S. Karthik
- Kording, Konrad P.
- Gomes, Carla P.
- Ng, Andrew Y.
- Hassabis, Demis
- Platt, John C.
- Creutzig, Felix
- Chayes, Jennifer
- Bengio, Yoshua
- Technische Universität Berlin
Entstanden
- 2022
Ähnliche Objekte (12)
Economics of using fossil fuels and tackling climate change
Machine learning for geographically differentiated climate change mitigation in urban areas
Tackling Climate Change and Urban Resilience in the City of Athens
Safe vs. fair: A formidable trade-off in tackling climate change
Tackling climate change from the bottom up: the climate protection plan for NRW at a glance
INTRAGRO: A machine learning approach to predict future growth of trees under climate change
Tackling knowledge and power: an environmental justice perspective on climate change adaptation in Kiribati
Machine learning for weather, air quality and climate
Reconstruction of climate fields using machine-learning methods
Tackling energy, climate and development challenges in Africa
Reading china: Predicting policy change with machine learning
Voice of the Students: How Can the EU Take the Global Lead on Tackling Climate Change?
Economics of using fossil fuels and tackling climate change
Machine learning for geographically differentiated climate change mitigation in urban areas
Tackling Climate Change and Urban Resilience in the City of Athens
Safe vs. fair: A formidable trade-off in tackling climate change
Tackling climate change from the bottom up: the climate protection plan for NRW at a glance
INTRAGRO: A machine learning approach to predict future growth of trees under climate change
Tackling knowledge and power: an environmental justice perspective on climate change adaptation in Kiribati
Machine learning for weather, air quality and climate
Reconstruction of climate fields using machine-learning methods
Tackling energy, climate and development challenges in Africa
Reading china: Predicting policy change with machine learning
Voice of the Students: How Can the EU Take the Global Lead on Tackling Climate Change?
Economics of using fossil fuels and tackling climate change
Machine learning for geographically differentiated climate change mitigation in urban areas
Tackling Climate Change and Urban Resilience in the City of Athens
Safe vs. fair: A formidable trade-off in tackling climate change
Tackling climate change from the bottom up: the climate protection plan for NRW at a glance
INTRAGRO: A machine learning approach to predict future growth of trees under climate change
Tackling knowledge and power: an environmental justice perspective on climate change adaptation in Kiribati
Machine learning for weather, air quality and climate
Reconstruction of climate fields using machine-learning methods
Tackling energy, climate and development challenges in Africa
Reading china: Predicting policy change with machine learning