Results 21 to 30 of about 189,902 (294)
Green software and generative AI : Can generative AI be used to implement green software? [PDF]
The digitalization of our society has lead to increased emissions of the ICT field, as the energy required to run the constantly growing amount of ICT devices and IT software run on them is also increasing.
Brusila, Tommi
core +2 more sources
Communications of the ACM, 2020 Creating efficiency in AI research will decrease its carbon footprint and increase its inclusivity as deep learning study should not require the deepest pockets.
Roy Schwartz 0001 +3 more
openaire +2 more sources
Green AI - A multidisciplinary approach to sustainability. [PDF]
Environ Sci EcotechnolHuang J, Gopal S.
europepmc +4 more sources
A review of green AI research under carbon peaking and neutrality goals
Zhejiang dianli, 2023 The large-scale training of artificial intelligence （AI） has led to a significant surge in computational resource demands， energy consumption， and carbon emissions， which not only poses severe challenges to the realization of carbon peaking and ...
LU Yudong, CHEN Yi
doaj +1 more source
Breast, 2020 Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and specialists over an extensive period of time. Communication is essential for treatment compliance, lowering error and complication risk, as well as handling ...
E.C. Moser, Gayatri Narayan
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AI-4-SE/green-configuration-measurements: Measurement Data
, 2023 This release contains all energy and performance measurement data that is gathered during the Green Configuration ...
Max
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AI-4-SE/green-configuration-measurements: Green Configuration Measurement Data
, 2023 This release contains all energy and performance measurement data that is gathered during the Green Configuration ...
Max
core +1 more source
Systems, 2023 With the emergence of the digital economy, digital technologies—such as artificial intelligence (AI)—have provided new possibilities for the green development of enterprises.
Ying Ying, Xiaoyan Cui, Shanyue Jin
doaj +1 more source
AI ethics and higher education
, 2022 Artificial intelligence (AI) is exerting unprecedented pressure on the global higher educational landscape in transforming recruitment processes, subverting traditional pedagogy, and creating new research and institutional opportunities.
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Uncovering Energy-Efficient Practices in Deep Learning Training:Preliminary Steps Towards Green AI [PDF]
, 2023 Modern AI practices all strive towards the same goal: better results. In the context of deep learning, the term "results"often refers to the achieved accuracy on a competitive problem set.
Yarally, Tim +10 more
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