(From left) Doctoral student Hannah Yamagata, research assistant professor Kushol Gupta, and postdoctoral fellow Marshall Padilla holding 3D-printed models of nanoparticles.
(Image: Bella Ciervo)
2 min. read
Many questions sit at the intersection of artificial intelligence and water. How can AI infrastructure use the resource efficiently and sustainably? On the flip side, how can AI technologies address water issues like scarcity and chemical contamination? A new partnership linking The Water Center at Penn, Amazon, the Water Environment Federation (WEF), and the Leading Utilities of the World, a global network of water and wastewater utilities, seeks to find answers.
Unveiled in late September during the largest annual climate event in the United States, Climate Week NYC, the Water-AI Nexus Center of Excellence has two major focuses: ensuring that AI infrastructure isn’t running through water at an untenable rate, while simultaneously using rapidly growing AI technologies to address myriad water challenges.
“We need to adapt and build resilience in the face of climate change, and water has a big part to play,” says Howard Neukrug, a professor of practice in the Department of Earth and Environmental Science in the School of Arts & Sciences and executive director of The Water Center at Penn. “And while water is a global issue, the solutions and problems both tend to be very local.”
Neukrug, former Commissioner and CEO of Philadelphia Water before coming to Penn, has been thinking about regional water challenges for a long time. Of late, he’s had countless conversations about the issues and opportunities AI poses for the water industry. The Water-AI Nexus Center of Excellence collaboration emerged through such discussions in the field.
AI has repeatedly made headlines for the sustainability issues it poses, namely because of its staggering energy consumption. Some of that comes from mineral extraction (to build the tech in the first place) and e-waste, but the majority is due to the energy AI requires while running its models, a process that in turn requires massive amounts of water for data centers to cool. In an early report, Water-AI Nexus noted that the typical annual water use for an average-sized U.S. data center is around 41 million gallons.
Neukrug says probing that issue will be a top priority for the new partnership.
This story is by Ev Crunden. Read more at Omnia.
From Omnia
(From left) Doctoral student Hannah Yamagata, research assistant professor Kushol Gupta, and postdoctoral fellow Marshall Padilla holding 3D-printed models of nanoparticles.
(Image: Bella Ciervo)
Jin Liu, Penn’s newest economics faculty member, specializes in international trade.
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