BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Stanford Energy Seminar: Andrew A. Chien | Can generative AI g
 et the power it demands? And without reversing grid decarbonization?
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260810T235421Z
UID:tag:localist.com\,2008:EventInstance_48296194222459
DTSTART:20250123T003000Z
DTEND:20250123T012000Z
DESCRIPTION:The Stanford Energy Seminar has been a mainstay of energy engag
 ement at Stanford for nearly 20 years and is one of the flagship programs 
 of the Precourt Institute for Energy. We bring a wide variety of perspecti
 ves to the Stanford community\, including academics\, entrepreneurs\, util
 ity executives\, and policymakers. \n\nTalk Abstract: AI and Cloud computi
 ng’s power growth will increase US electric power consumption by 2% (202
 6) and to 8% (2030) (EIA\,GS). Jevon’s paradox has overcome 50 years of 
 energy efficiency improvements\, driving computing power consumption to Te
 rawattHours (BIG!). This growth both power grid stability and decarbonizat
 ion\, datacenters are slowing the retirement of and even adding new fossil
  fuel generation. In short\, the climate change impact of computing is poi
 sed to grow rapidly. We discuss how computing flexibility (power\, reliabi
 lity) can help the grid decarbonize (Zero-carbon cloud)\, and how generati
 ve AI applications such as ChatGPT can be greened. The key is cooperation 
 to manage reliability and to balance power load with variable generation. 
 It depends on redesigning the service model for cooperation between datace
 nter loads and power grids. This approach can support both corporate goals
  (efficient computing) and societal goals (power grid decarbonization)\, a
 nd is a key to preventing AI from accelerating climate change. More inform
 ation is available at http://zccloud.cs.uchicago.edu/.\n\nSpeaker bio: And
 rew A. Chien is the William Eckhardt Distinguished Service Professor of Co
 mputer Science at the University of Chicago and Senior Scientist at Argonn
 e National Laboratory. For the 2024-25 academic year\, Chien is a visiting
  professor at Stanford on sabbatical. Chien has led the Zero-carbon Cloud 
 project since 2015\, and is well-known for his research on datacenters\, r
 enewable energy and sustainability\, cloud resource management and softwar
 e\, large-scale system architecture\, and graph computing architecture. He
  is leader of the IARPA-funded “UpDown System Project”\, designing bre
 akthrough scalable graph analytics systems. Chien has received numerous re
 cognitions for his research. Dr. Chien currently serves on the NSF CISE Ad
 visory Committee\, NSF Advisory Committee on Advanced Cyberinfrastructure\
 , and DARPA ISAT. He is a Fellow of the ACM\, IEEE\, and AAAS. He served a
 s EiC of Communications of the ACM\, 2017-2022\, and Vice President of Res
 earch at Intel Corporation from 2005-2010. He has served on the Faculty of
  the University of Illinois and as SAIC Chair Professor of University of C
 alifornia\, San Diego. He received BS\, MS\, and PhD degrees from the Mass
 achusetts Institute of Technology.\n\n \n\nMore information about the semi
 nar:\n\nAnyone with an interest in energy is welcome to join! You can enjo
 y seminars in the following ways:\n\nAttend live. The auditorium may chang
 e quarter by quarter\, so check each seminar event to confirm the location
 . Explore the current quarter's schedule.Watch live in a browser livestrea
 m if available. Check each seminar event for its unique livestream URL.Wat
 ch recordings of past seminars Available on the Past Energy Seminars page 
 and the Energy Seminars playlist of the Stanford Energy YouTube channel(Fo
 r students) Take the seminar as a 1-unit class (CEE 301/ENERGY 301/MS&E 49
 4)If you'd like to join the Stanford Energy Seminar mailing list to hear a
 bout upcoming talks\, sign up here.
GEO:37.429138;-122.17552
LOCATION:Shriram Center\, Room 104
SUMMARY:Stanford Energy Seminar: Andrew A. Chien | Can generative AI get th
 e power it demands? And without reversing grid decarbonization?
URL;VALUE=URI:https://events.stanford.edu/event/stanford-energy-seminar-and
 rew-chien
CATEGORIES:Lecture/Presentation/Talk
END:VEVENT
END:VCALENDAR
