AI & Environment Resource HubAuthor or publisher unknown · 2024-01-23
In this episode, we’re taking a deep dive into the use of water in AI computing in traditional data center models, and some of the looming questions concerning AI’s sustainability.
Author unknown. 2024-01-23. AI's Water Usage with Professor Shoalei Ren. https://clean-integration.simplecast.com/episodes/shoalei-ren (AI & Environment Resource Hub; record pod-0024; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Water; Oceans and coasts; Built environment and infrastructure
We believe that innovation and technological advancement are key to building 21st-century economies in the region. We partner with diverse organizations to fostering economic growth, social progress, and environmental sustainability.
Shared topics: Cross-cutting sustainability; Water; Oceans and coasts; Built environment and infrastructure
Artificial Intelligence (AI) has the potential to transform how water is managed. Yet, these emerging opportunities raise critical considerations around issues such as data governance, energy use, and the environmental footprint of digital infrastructure. To explore these challenges and opportunities, IWRA is launching a new webinar series: "The Promises and Challenges of AI, Data Centres & Freshwater Futures". Bringing together experts from around the world, the series examines the intersection of emerging technologies and water sustainability.
Shared topics: Cross-cutting sustainability; Water; Oceans and coasts; Built environment and infrastructure
Welcome to the core infrastructure of the European Digital Twin Ocean. EDITO offers cutting edge tools to develop digital twins, support science-based decision making, and ensure maximum impact for research and innovation actions across the key objectives of the EU Mission Ocean & Waters: protect biodiversity, stop marine pollution, and support a sustainable blue economy.
Shared topics: Cross-cutting sustainability; Water; Oceans and coasts; Built environment and infrastructure
AI drives scientific progress and business growth but depends on vast data and computational resources, raising sustainability concerns.