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المؤلفون: David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, Yoshua Bengio
المصدر: ACM Computing Surveys, 55 (2)
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computers and Society, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), General Computer Science, Computer Science - Artificial Intelligence, Statistics - Machine Learning, Computers and Society (cs.CY), Machine Learning (stat.ML), ComputerApplications_COMPUTERSINOTHERSYSTEMS, ddc:004, Machine Learning (cs.LG), Theoretical Computer Science
وصف الملف: application/pdf; application/application/pdf
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2دورية أكاديمية
المؤلفون: Lynn H. Kaack, Priya L. Donti, Emma Strubell, George Kamiya, Felix Creutzig, David Rolnick
المصدر: Nature, Nature Climate Change. 12(6):518-527
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المؤلفون: Priya L. Donti, J. Zico Kolter
المصدر: Annual Review of Environment and Resources. 46:719-747
مصطلحات موضوعية: business.industry, Computer science, Artificial intelligence, Energy transition, Machine learning, computer.software_genre, business, computer, General Environmental Science, Sustainable energy
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::177ff91af665d1bafd79c6f5d169dadb
https://doi.org/10.1146/annurev-environ-020220-061831 -
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المؤلفون: Dipti Srinivasan, Susanne Köhler, Artur Gil, Panayiota J. Alevizou, Pia Johanna Schweizer, Ruby Appiah-Campbell, David Rolnick, Lucia A. Reisch, Lucas Joppa, Peter Howson, Lynn H. Kaack, Priya L. Donti, Massimo Pizzol, Tilman Santarius, Nina Michaelidou
المصدر: Reisch, L A, Joppa, L, Howson, P, Gil, A, Alevizou, P, Michaelidou, N, Appiah-Campbell, R, Santarius, T, Köhler, S, Pizzol, M, Schweizer, P J, Srinivasan, D, Kaack, L H, Donti, P L & Rolnick, D 2021, ' Digitizing a sustainable future ', One Earth, vol. 4, no. 6, pp. 768-771 . https://doi.org/10.1016/j.oneear.2021.05.012
مصطلحات موضوعية: Cryptocurrency, Digital transformation, cryptocurrencies, Environmental economics, Carbon footprint, Digitalisation, Leverage (negotiation), Sustainability, SDG 13 - Climate Action, Earth and Planetary Sciences (miscellaneous), SDG 9 - Industry, Innovation, and Infrastructure, Business, SDG 12 - Responsible Consumption and Production, Bitcoin, General Environmental Science
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::996c14321ba56b312de1e916f0704811
https://doi.org/10.1016/j.oneear.2021.05.012 -
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المؤلفون: Priya L. Donti
المصدر: XRDS: Crossroads, The ACM Magazine for Students. 27:58-61
مصطلحات موضوعية: Action (philosophy), business.industry, Computer science, General Earth and Planetary Sciences, Climate change, Artificial intelligence, business, Machine learning, computer.software_genre, computer, General Environmental Science
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المؤلفون: Lynn H. Kaack, Priya L. Donti, Emma Strubell, George Kamiya, Felix Creutzig, David Rolnick
المساهمون: Data Science Lab, Hertie School, Hertie School of Governance [Berlin], Department of Humanities, Social and Political Sciences [ETH Zürich] (D-GESS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Institute of Science, Technology, and Policy [ETH Zürich], School of Computer Science, Carnegie Mellon University, Carnegie Mellon University [Pittsburgh] (CMU), Department of Engineering and Public Policy, Carnegie Mellon University, International Energy Agency, Mercator Research Institute on Global Commons and Climate Change (MCC), Potsdam Institute for Climate Impact Research (PIK), Sustainability Economics of Human Settlements, Technical University Berlin, Technical University Berlin, School of Computer Science, McGill University, McGill University = Université McGill [Montréal, Canada], Mila - Quebec AI Institute, Kaack, Lynn
مصطلحات موضوعية: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [SHS.ENVIR] Humanities and Social Sciences/Environmental studies, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, [SDE.ES] Environmental Sciences/Environmental and Society, Environmental Science (miscellaneous), [SDE.ES]Environmental Sciences/Environmental and Society, Social Sciences (miscellaneous), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd7fa26b776080c6bcf48c0644c4ebe7
https://hal.archives-ouvertes.fr/hal-03368037 -
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المؤلفون: J. Zico Kolter, Kyri Baker, Bingqing Chen, Priya L. Donti, Mario Berges
المصدر: e-Energy
مصطلحات موضوعية: FOS: Computer and information sciences, Mathematical optimization, Computer Science - Machine Learning, Artificial neural network, Computer science, business.industry, 020209 energy, Physical system, Functional requirement, 02 engineering and technology, Systems and Control (eess.SY), 010501 environmental sciences, 01 natural sciences, Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Reinforcement learning, Differentiable function, Projection (set theory), business, 0105 earth and related environmental sciences, Efficient energy use, Building automation
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5605d8e21a1ff456ebfa41d132152c95
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المؤلفون: J. Zico Kolter, Inês Azevedo, Priya L. Donti
المصدر: Environmental sciencetechnology. 53(16)
مصطلحات موضوعية: business.industry, Climate change, General Chemistry, Renewable energy, Demand response, Electric power system, Electricity, Damages, Econometrics, Environmental Chemistry, Environmental science, Power pool, Mid-Atlantic Region, business, Efficient energy use
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المؤلفون: Andrey Bernstein, Andreas J. Schmitt, Rui Yang, Priya L. Donti, Yajing Liu, Yingchen Zhang
مصطلحات موضوعية: Matrix completion, General Computer Science, Noise measurement, Computer science, business.industry, 020209 energy, 020206 networking & telecommunications, 02 engineering and technology, Missing data, Electric power system, Mean absolute percentage error, Optimization and Control (math.OC), Control theory, Distributed generation, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, State (computer science), Observability, business, Mathematics - Optimization and Control
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0df9978c966cce7d26490f14700c6c9f
http://arxiv.org/abs/1801.09799