Aligning artificial intelligence with climate change mitigation

LH Kaack, PL Donti, E Strubell, G Kamiya… - Nature Climate …, 2022 - nature.com
There is great interest in how the growth of artificial intelligence and machine learning may
affect global GHG emissions. However, such emissions impacts remain uncertain, owing in …

Artificial intelligence applications for increasing resource efficiency in manufacturing companies—a comprehensive review

L Waltersmann, S Kiemel, J Stuhlsatz, A Sauer… - Sustainability, 2021 - mdpi.com
Sustainability improvements in industrial production are essential for tackling climate
change and the resulting ecological crisis. In this context, resource efficiency can directly …

Experimental observation of high thermal conductivity in boron arsenide

JS Kang, M Li, H Wu, H Nguyen, Y Hu - Science, 2018 - science.org
Improving the thermal management of small-scale devices requires developing materials
with high thermal conductivities. The semiconductor boron arsenide (BAs) is an attractive …

[HTML][HTML] The energy and carbon footprint of the global ICT and E&M sectors 2010–2015

J Malmodin, D Lundén - Sustainability, 2018 - mdpi.com
This article presents estimations of the energy and carbon footprint of the Information and
Communication Technology (ICT) and Entertainment & Media (E&M) sectors globally for …

Trends in data centre energy consumption under the european code of conduct for data centre energy efficiency

M Avgerinou, P Bertoldi, L Castellazzi - Energies, 2017 - mdpi.com
Climate change is recognised as one of the key challenges humankind is facing. The
Information and Communication Technology (ICT) sector including data centres generates …

[HTML][HTML] Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future

D Ueda, SL Walston, S Fujita, Y Fushimi… - Diagnostic and …, 2024 - Elsevier
The rapid advancement of artificial intelligence (AI) in healthcare has revolutionized the
industry, offering significant improvements in diagnostic accuracy, efficiency, and patient …

Strategies for improving the sustainability of data centers via energy mix, energy conservation, and circular energy

M Manganelli, A Soldati, L Martirano, S Ramakrishna - Sustainability, 2021 - mdpi.com
Information and communication technologies (ICT) are increasingly permeating our daily life
and we ever more commit our data to the cloud. Events like the covid-19 pandemic put an …

Carbonscaler: Leveraging cloud workload elasticity for optimizing carbon-efficiency

WA Hanafy, Q Liang, N Bashir, D Irwin… - Proceedings of the ACM …, 2023 - dl.acm.org
Cloud platforms are increasing their emphasis on sustainability and reducing their
operational carbon footprint. A common approach for reducing carbon emissions is to exploit …

Exploiting heterogeneity for tail latency and energy efficiency

ME Haque, Y He, S Elnikety, TD Nguyen… - Proceedings of the 50th …, 2017 - dl.acm.org
Interactive service providers have strict requirements on high-percentile (tail) latency to meet
user expectations. If providers meet tail latency targets with less energy, they increase …

Prototype energy models for data centers

K Sun, N Luo, X Luo, T Hong - Energy and Buildings, 2021 - Elsevier
Data centers in the United States consume about two percent of the nation's electricity.
Because heat gains from IT equipment drive cooling demand, data centers offer unique …