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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">[Apologies if you receive multiple copies of this CFP]</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0); font-weight: 700;">Call for papers: Workshop on "Green Algorithms: Shaping a Sustainable World with AI Innovation" at ICMLA 2024</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(36, 36, 36); background-color: rgb(255, 255, 255);">This workshop will be part of the program of the “23rd International Conference on Machine Learning and Applications”,
which will be held in Miami, Florida, USA, December 18 - 20, 2024.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0); font-weight: 700;">Green Algorithms: Shaping a Sustainable World with AI Innovation</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"><i>Organized by: Verónica Bolón-Canedo, Laura Morán-Fernández, Brais Cancela, and Amparo Alonso-Betanzos (CITIC - University of A Coruña, Spain)</i></span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Green algorithms are typically characterized as algorithms capable of optimizing energy efficiency and minimizing the environmental footprint of AI models. These
algorithms aim to facilitate the utilization of technology in addressing diverse environmental challenges. This categorization encompasses two distinct types of algorithms:</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Green by AI: AI algorithms that enhance environmental sustainability by optimizing energy use, conserving ecosystems, and improving renewable energy's efficiency.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Green in AI: Energy-efficient AI algorithms, aiming to reduce the environmental impact of its operations through innovative approaches and hardware advancements.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">In this workshop, we invite papers on both practical and theoretical issues about developing new artificial intelligence algorithms that are sustainable and green,
as well as review papers with the state-of-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to:</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Developing energy-efficient algorithms for training and/or inference.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Investigating AI approaches for sustainable data management and storage techniques.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Exploring the use of renewable energy sources for artificial intelligence.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Examining the ethical and social implications of green algorithms and artificial intelligence.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Investigating methods for reducing the carbon footprint of artificial intelligence algorithms.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Studying the impact of green algorithms on various industries and applications.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Applications of artificial intelligence to achieve sustainability and combat climate change.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Explainable AI in green algorithms and applications to enhance transparency and accountability.</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Tools and frameworks for computational consumption of algorithms</span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0); font-weight: 700;">Key Dates:
</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(17, 85, 204);"><a href="https://www.icmla-conference.org/icmla24/keydates.html" id="OWA5f130670-3dd0-efa3-c91a-1bc2f99d37c4" class="OWAAutoLink" data-loopstyle="linkonly" style="color: rgb(17, 85, 204); text-decoration: none; margin-top: 0px; margin-bottom: 0px;">https://www.icmla-conference.org/icmla24/keydates.html</a></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"> </span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0); font-weight: 700;">Submission Guidelines:
</span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(17, 85, 204);"><a href="https://www.icmla-conference.org/icmla24/howtosubmit.html" id="OWAdb238059-2a90-958f-25f3-c9fd2dc3284b" class="OWAAutoLink" data-loopstyle="linkonly" style="color: rgb(17, 85, 204); text-decoration: none; margin-top: 0px; margin-bottom: 0px;">https://www.icmla-conference.org/icmla24/howtosubmit.html</a></span><span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);"> </span></p>
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<span style="font-family: Calibri, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">Prospected authors need to indicate as “Submission Type” the workshop title.</span></p>
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<span style="background-color: white;">Laura Morán Fernández, PhD</span></div>
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Laboratorio de I+D en Inteligencia Artificial</div>
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<span style="background-color: white;">CITIC - Universidade da Coruña </span></div>
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