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Sustainable AI: Environmental Implications, Challenges and Opportunities
v1v2 (latest)

Sustainable AI: Environmental Implications, Challenges and Opportunities

Conference on Machine Learning and Systems (MLSys), 2021
30 October 2021
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
Kiwan Maeng
Gloria Chang
Fiona Aga Behram
James Huang
Charles Bai
M. Gschwind
Anurag Gupta
Myle Ott
Anastasia Melnikov
Salvatore Candido
David Brooks
Geeta Chauhan
Benjamin C. Lee
Hsien-Hsin S. Lee
Bugra Akyildiz
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
ArXiv (abs)PDFHTML

Papers citing "Sustainable AI: Environmental Implications, Challenges and Opportunities"

50 / 192 papers shown
Title
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
Nicolas Alder
Kai Ebert
Ralf Herbrich
Philipp Hacker
AI4CE
175
3
0
28 Aug 2024
Mask in the Mirror: Implicit Sparsification
Mask in the Mirror: Implicit SparsificationInternational Conference on Learning Representations (ICLR), 2024
Tom Jacobs
R. Burkholz
417
6
0
19 Aug 2024
Reporting and Analysing the Environmental Impact of Language Models on
  the Example of Commonsense Question Answering with External Knowledge
Reporting and Analysing the Environmental Impact of Language Models on the Example of Commonsense Question Answering with External Knowledge
Aida Usmanova
Junbo Huang
Debayan Banerjee
Ricardo Usbeck
181
1
0
24 Jul 2024
Computer Audition: From Task-Specific Machine Learning to Foundation Models
Computer Audition: From Task-Specific Machine Learning to Foundation Models
Andreas Triantafyllopoulos
Iosif Tsangko
Alexander Gebhard
A. Mesaros
Maria Sandsten
B. Schuller
340
6
0
22 Jul 2024
CADC: Encoding User-Item Interactions for Compressing Recommendation
  Model Training Data
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
Hossein Entezari Zarch
Abdulla Alshabanah
Chaoyi Jiang
Murali Annavaram
190
1
0
11 Jul 2024
Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM
  Inference on Heterogeneous Systems
Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems
Grant Wilkins
Srinivasan Keshav
Richard Mortier
216
20
0
04 Jul 2024
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion
  Beyond ReLU Network
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network
Hyunseok Oh
Youngki Lee
308
3
0
01 Jul 2024
Innovating for Tomorrow: The Convergence of SE and Green AI
Innovating for Tomorrow: The Convergence of SE and Green AI
Luís Cruz
Xavier Franch Gutierrez
Luís Cruz
168
6
0
26 Jun 2024
CascadeServe: Unlocking Model Cascades for Inference Serving
CascadeServe: Unlocking Model Cascades for Inference Serving
Ferdi Kossmann
Ziniu Wu
Alex Turk
Nesime Tatbul
Lei Cao
Samuel Madden
185
7
0
20 Jun 2024
Computing Within Limits: An Empirical Study of Energy Consumption in ML
  Training and Inference
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference
Ioannis Mavromatis
Kostas Katsaros
Aftab Khan
142
6
0
20 Jun 2024
Efficient Offline Reinforcement Learning: The Critic is Critical
Efficient Offline Reinforcement Learning: The Critic is Critical
Adam Jelley
Trevor A. McInroe
Sam Devlin
Amos Storkey
OffRL
187
2
0
19 Jun 2024
LaCoOT: Layer Collapse through Optimal Transport
LaCoOT: Layer Collapse through Optimal Transport
Victor Quétu
Zhu Liao
Nour Hezbri
Fabio Pizzati
Enzo Tartaglione
307
0
0
13 Jun 2024
Beyond Efficiency: Scaling AI Sustainably
Beyond Efficiency: Scaling AI SustainablyIEEE Micro (IEEE Micro), 2024
Carole-Jean Wu
Bilge Acun
Ramya Raghavendra
Kim Hazelwood
GNN
198
24
0
08 Jun 2024
Cyclic Sparse Training: Is it Enough?
Cyclic Sparse Training: Is it Enough?
Advait Gadhikar
Sree Harsha Nelaturu
R. Burkholz
CLL
342
1
0
04 Jun 2024
From Structured to Unstructured:A Comparative Analysis of Computer
  Vision and Graph Models in solving Mesh-based PDEs
From Structured to Unstructured:A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs
J. Decke
Olaf Wünsch
Bernhard Sick
Christian Gruhl
186
1
0
31 May 2024
Carbon Connect: An Ecosystem for Sustainable Computing
Carbon Connect: An Ecosystem for Sustainable Computing
Benjamin C. Lee
David Brooks
Arthur van Benthem
Udit Gupta
G. Hills
...
Emma Strubell
Gu-Yeon Wei
Adam Wierman
Yuan Yao
Minlan Yu
147
5
0
22 May 2024
OpenCarbonEval: A Unified Carbon Emission Estimation Framework in
  Large-Scale AI Models
OpenCarbonEval: A Unified Carbon Emission Estimation Framework in Large-Scale AI Models
Zhaojian Yu
Yinghao Wu
Zhuotao Deng
Yansong Tang
Jinqiang Cui
160
5
0
21 May 2024
Green AI in Action: Strategic Model Selection for Ensembles in Production
Green AI in Action: Strategic Model Selection for Ensembles in Production
Nienke Nijkamp
June Sallou
Niels van der Heijden
Luís Cruz
164
6
0
21 May 2024
Sociotechnical Implications of Generative Artificial Intelligence for
  Information Access
Sociotechnical Implications of Generative Artificial Intelligence for Information Access
Bhaskar Mitra
Henriette Cramer
Olya Gurevich
274
7
0
19 May 2024
Fusion Intelligence: Confluence of Natural and Artificial Intelligence
  for Enhanced Problem-Solving Efficiency
Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency
Rohan Reddy Kalavakonda
Junjun Huan
Peyman Dehghanzadeh
Archit Jaiswal
Soumyajit Mandal
Swarup Bhunia
48
0
0
16 May 2024
Risks and Opportunities of Open-Source Generative AI
Risks and Opportunities of Open-Source Generative AI
Francisco Eiras
Aleksander Petrov
Bertie Vidgen
Christian Schroeder
Fabio Pizzati
...
Matthew Jackson
Phillip H. S. Torr
Trevor Darrell
Y. Lee
Jakob N. Foerster
339
23
0
14 May 2024
Implementation of Big AI Models for Wireless Networks with Collaborative
  Edge Computing
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing
Liekang Zeng
Shengyuan Ye
Xu Chen
Yang Yang
146
20
0
27 Apr 2024
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM
  Inference Workloads
Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads
Grant Wilkins
Srinivasan Keshav
Richard Mortier
277
19
0
25 Apr 2024
Towards Socially and Environmentally Responsible AI
Towards Socially and Environmentally Responsible AI
Pengfei Li
Yejia Liu
Jianyi Yang
Shaolei Ren
145
0
0
23 Apr 2024
Open-Source AI-based SE Tools: Opportunities and Challenges of
  Collaborative Software Learning
Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software LearningACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Zhihao Lin
Wei Ma
Tao Lin
Yaowen Zheng
Jingquan Ge
Jun Wang
Jacques Klein
Tegawende F. Bissyande
Yang Liu
Li Li
VLM
138
10
0
09 Apr 2024
Foundation Model for Advancing Healthcare: Challenges, Opportunities,
  and Future Directions
Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2024
Yuting He
Fuxiang Huang
Xinrui Jiang
Yuxiang Nie
Minghao Wang
Jiguang Wang
Hao Chen
LM&MAAI4CE
275
86
0
04 Apr 2024
A Survey of Optimization-based Task and Motion Planning: From Classical
  To Learning Approaches
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning ApproachesIEEE/ASME transactions on mechatronics (TAM), 2024
Zhigen Zhao
Shuo Cheng
Yan Ding
Ziyi Zhou
Shiqi Zhang
Danfei Xu
Ye Zhao
379
40
0
03 Apr 2024
Towards Sustainable SecureML: Quantifying Carbon Footprint of
  Adversarial Machine Learning
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
Syed Mhamudul Hasan
Abdur R. Shahid
Ahmed Imteaj
AAML
183
4
0
27 Mar 2024
CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web
  Services
CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services
Abel Souza
Shruti Jasoria
Basundhara Chakrabarty
Alexander Bridgwater
Axel Lundberg
Filip Skogh
Ahmed Ali-Eldin
David Irwin
Prashant J. Shenoy
172
36
0
21 Mar 2024
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly
  Large Language Model Inference
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference
Baolin Li
Yankai Jiang
V. Gadepally
Devesh Tiwari
198
20
0
19 Mar 2024
MELTing point: Mobile Evaluation of Language Transformers
MELTing point: Mobile Evaluation of Language Transformers
Stefanos Laskaridis
Kleomenis Katevas
Lorenzo Minto
Hamed Haddadi
255
33
0
19 Mar 2024
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in
  Social Discussions
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social DiscussionsConference on Information Technology for Social Good (ITSG), 2024
Vjosa Preniqi
Iacopo Ghinassi
Julia Ive
C. Saitis
Kyriaki Kalimeri
177
14
0
12 Mar 2024
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code
  Generation
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
Tina Vartziotis
Ippolyti Dellatolas
George Dasoulas
Maximilian Schmidt
Florian Schneider
Tim Hoffmann
S. Kotsopoulos
Michael Keckeisen
222
13
0
05 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Kushagra Pandey
Robert Bamler
Sina Daubener
...
Yixin Wang
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
646
39
0
28 Feb 2024
Training Green AI Models Using Elite Samples
Training Green AI Models Using Elite Samples
Mohammed Alswaitti
Roberto Verdecchia
Grégoire Danoy
Pascal Bouvry
Johnatan E. Pecero
134
7
0
19 Feb 2024
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation
Zihao Tang
Zheqi Lv
Shengyu Zhang
Leilei Gan
Kun Kuang
220
11
0
18 Feb 2024
Materiality and Risk in the Age of Pervasive AI Sensors
Materiality and Risk in the Age of Pervasive AI Sensors
Matthew P. Stewart
Emanuel Moss
Pete Warden
Brian Plancher
Susan Kennedy
Mona Sloane
Vijay Janapa Reddi
172
4
0
17 Feb 2024
Identifying architectural design decisions for achieving green ML
  serving
Identifying architectural design decisions for achieving green ML serving
Francisco Durán
Luís Cruz
Matias Martinez
Patricia Lago
76
6
0
12 Feb 2024
Neuromorphic hardware for sustainable AI data centers
Neuromorphic hardware for sustainable AI data centers
Bernhard Vogginger
A. Rostami
Vaibhav Jain
Sirine Arfa
Andreas Hantsch
...
Ulrike Faltings
Hector A. Gonzalez
Chen Liu
Christian Mayr
Wolfgang Maaß
334
14
0
04 Feb 2024
When Large Language Models Meet Vector Databases: A Survey
When Large Language Models Meet Vector Databases: A Survey
Zhi Jing
Yongye Su
Yikun Han
Bo Yuan
Haiyun Xu
Chunjiang Liu
Kehai Chen
Min Zhang
384
66
0
30 Jan 2024
Green Runner: A tool for efficient deep learning component selection
Green Runner: A tool for efficient deep learning component selection
Jai Kannan
204
2
0
29 Jan 2024
Evolving Code with A Large Language Model
Evolving Code with A Large Language ModelGenetic Programming and Evolvable Machines (GPEM), 2024
Erik Hemberg
Stephen Moskal
Una-May O’Reilly
180
47
0
13 Jan 2024
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic
  AI
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI
Zishen Wan
Che-Kai Liu
Hanchen Yang
Chaojian Li
Haoran You
Yonggan Fu
Cheng Wan
Tushar Krishna
Yingyan Lin
A. Raychowdhury
AAML
249
32
0
02 Jan 2024
Towards Message Brokers for Generative AI: Survey, Challenges, and
  Opportunities
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
Alaa Saleh
Roberto Morabito
Sasu Tarkoma
Susanna Pirttikangas
Lauri Lovén
263
7
0
22 Dec 2023
An effective and efficient green federated learning method for one-layer
  neural networks
An effective and efficient green federated learning method for one-layer neural networks
O. Fontenla-Romero
Berta Guijarro-Berdiñas
Elena Hernández-Pereira
Beatriz Pérez-Sánchez
FedML
126
0
0
22 Dec 2023
Efficiency-oriented approaches for self-supervised speech representation
  learning
Efficiency-oriented approaches for self-supervised speech representation learning
Luis Lugo
Valentin Vielzeuf
SSL
210
1
0
18 Dec 2023
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
Heli Järvenpää
Patricia Lago
Justus Bogner
Grace A. Lewis
H. Muccini
Ipek Ozkaya
137
32
0
15 Dec 2023
Can LLMs Configure Software Tools
Can LLMs Configure Software Tools
Jai Kannan
82
1
0
11 Dec 2023
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
DeepEn2023: Energy Datasets for Edge Artificial Intelligence
Xiaolong Tu
Anik Mallik
Haoxin Wang
Jiang Xie
210
4
0
30 Nov 2023
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Power Hungry Processing: Watts Driving the Cost of AI Deployment?Conference on Fairness, Accountability and Transparency (FAccT), 2023
Sasha Luccioni
Yacine Jernite
Emma Strubell
316
289
0
28 Nov 2023
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