Skip to content
NSF CoDec is a U.S. National Science Foundation Expedition in Computing
NSF CoDec
  • Home
  • About
  • Research
  • People
  • Publications
  • Home
  • About
  • Research
  • People
  • Publications

In the News

Andrew A Chien gives a keynote at the Yotta 2024 conference

  • Post category:In the News/News
  • Post published:October 9, 2024

Andrew A Chien gave a keynote talk entitled "Dynamic Range and Cooperation: How AI Datacenters get the Ample, Cheap, Green Power?" at the Yotta 2024 conference in Las Vegas, Nevada.

Continue ReadingAndrew A Chien gives a keynote at the Yotta 2024 conference

Andrew A Chien quoted in Sierra Club Magazine on Cloud Carbon Footprint

  • Post category:In the News/News
  • Post published:September 21, 2024

Andrew A Chien is quoted in an article titled "The Carbon Footprint of Amazon, Google, and Facebook Is Growing" in the Sierra Club Magazine.

Continue ReadingAndrew A Chien quoted in Sierra Club Magazine on Cloud Carbon Footprint

Andrew A Chien gives a keynote at the NSF Workshop on A Holistic AI Computing Framework

  • Post category:In the News/News
  • Post published:August 21, 2024

Andrew A Chien gave a keynote talk entitled "Reduce Datacenter Operational Carbon and leverage that Efficiency to reduce the Water-use and Embodied Carbon".

Continue ReadingAndrew A Chien gives a keynote at the NSF Workshop on A Holistic AI Computing Framework

Andrew A Chien appears on WBEZ to discuss how cloud computing causes environmental harm

  • Post category:In the News/News
  • Post published:July 31, 2024

Andrew A Chien appeared on the WBEZ (Chicago PBS) program Reset with Sasha Ann Simons, as part of a panel entitled "How Cloud Computing Causes Environmental Harm".

Continue ReadingAndrew A Chien appears on WBEZ to discuss how cloud computing causes environmental harm
  • Go to the previous page
  • 1
  • 2
Logos of UMass Amherst, Carnegie Mellon, MIT, UChicago, Wisconsin, and UCLA.

Copyright © 2024               Accessibility

Github Youtube Linkedin

This material is based upon work supported by the U.S. National Science Foundation (NSF) under Grant Number 2325956. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.