Results 211 to 220 of about 180,976 (265)

Artificial intelligence adoption for advancing energy justice: a multidimensional perspective. [PDF]

Sci Rep
Ye Y, Huang T, Shi Z, Luo Y, Zhang X.
europepmc   +1 more source

DataXflowGen for GenAI-driven model generation. [PDF]

Sci Rep
Crouch SAW, Breitenbach T.
europepmc   +1 more source

Editorial: New trends in green chemistry: sustainable and alternative strategies for the extraction of high-value compounds from agri-food matrices and residues. [PDF]

Front Chem
Annunziata F, Borgonovo G, Rijo P, Pinto A.   +3 more
europepmc   +1 more source

Predicting the Unpredictable: A Data-Driven Machine Learning Model for Emergency Department Waiting Room Surge Status. [PDF]

Mayo Clin Proc Digit Health
Jones D, Walker L, Asher L, Davis G, Carr B, Colletti J.   +5 more
europepmc   +1 more source

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Green AI

Proceedings of the 44th International Conference on Software Engineering, 2022
This chapter examines the environmental impact of artificial intelligence (AI) and explores strategies to align AI development with sustainability goals. As AI-driven technologies expand, their energy consumption and carbon footprint present significant challenges, particularly in the operation of data centers and high-performance computing ...
Georgiou, Stefanos, Kechagia, Maria, Sharma, Tushar, Sarro, Federica, Zou, Ying   +4 more
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Green Driver: AI in a Microcosm

Proceedings of the AAAI Conference on Artificial Intelligence, 2011
The Green Driver app is a dynamic routing application for GPS-enabled smartphones. Green Driver combines client GPS data with real-time traffic light information provided by cities to determine optimal routes in response to driver route requests.
Jim Apple, Paul Chang, Aran Clauson, Heidi E. Dixon, Hiba Fakhoury, Matthew L. Ginsberg, Erin Keenan, Alex Leighton, Kevin Scavezze, Bryan Smith   +9 more
openaire   +1 more source

AI and Green Technologies

This study empirically investigates the intricate interplay between AI adoption and environmental sustainability, elucidating the extent to which AI-driven predictive analytics, automation, and intelligent resource optimization engender tangible ecological benefits within corporate ecosystems.
Anjali Saluja, Sanjay Taneja, Bhupinder Pal Singh Chahal, Manpreet Kaur, Akshita Chaudhary   +4 more
openaire   +1 more source

Shifting from Red AI To Green AI

The 2020s may see amazing advances in AI, however, as far as the foundation and proficient utilization of energy is concerned, we have not reached the optimized level. As AI research advances, we should demand the best platform, methodologies, and tools for building AI models.
Samruddhi Shetty, Nirmala Joshi, Abhijit Banubakode   +2 more
openaire   +1 more source

Green AI Quotient: Assessing Greenness of AI-based software and the way forward

2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023
Samarth Sikand, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder   +3 more
openaire   +1 more source