AI4Energy vs. Energy4AI: The intertwined role of sustainable power generation and compute in the dawn of the AI age
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00376489" target="_blank" >RIV/68407700:21230/24:00376489 - isvavai.cz</a>
Výsledek na webu
<a href="https://sites.google.com/view/sigenergy-seminar/seminars?authuser=0" target="_blank" >https://sites.google.com/view/sigenergy-seminar/seminars?authuser=0</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
AI4Energy vs. Energy4AI: The intertwined role of sustainable power generation and compute in the dawn of the AI age
Popis výsledku v původním jazyce
In recent decades, Artificial Intelligence (AI) has come from being a relatively obscure topic of research to a broadly mainstream topic driving innovation and investment in industry and academia alike. Within this expansion of interest, most attention is given to new opportunities in how AI approaches can improve the state of the art to address present challenges in various fields. To address this research gap, we show that the near-term sustainability of the current explosion of AI applications and its tied power consumption increase is closely co-dependent on investment in power grid infrastructure, and some specific ways how AI can in turn be applied to help Power Grids.
Název v anglickém jazyce
AI4Energy vs. Energy4AI: The intertwined role of sustainable power generation and compute in the dawn of the AI age
Popis výsledku anglicky
In recent decades, Artificial Intelligence (AI) has come from being a relatively obscure topic of research to a broadly mainstream topic driving innovation and investment in industry and academia alike. Within this expansion of interest, most attention is given to new opportunities in how AI approaches can improve the state of the art to address present challenges in various fields. To address this research gap, we show that the near-term sustainability of the current explosion of AI applications and its tied power consumption increase is closely co-dependent on investment in power grid infrastructure, and some specific ways how AI can in turn be applied to help Power Grids.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
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OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů