BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:US/Pacific
BEGIN:DAYLIGHT
DTSTART:20250309T030000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:PDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:PST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250201T202849Z
UID:00E8A2F1-038D-4C08-B07D-CA154C851B3A
DTSTART;TZID=US/Pacific:20250129T193000
DTEND;TZID=US/Pacific:20250129T210000
DESCRIPTION:Synopsis:\n\nIf not solved\, AI models&#39; power and water consump
 tion threaten human society and ecology. AI is expected to consume 4% of t
 he world&#39;s electricity by 2026. Water requirements are even more alarming 
 as water is a shared\, non-renewable resource. This talk will discuss some
  ways\, such as data center redesign that industry and academia are workin
 g to tackle this issue and the research directions that may enable us to t
 rain and use energy-efficient models.\n\nSpeaker(s): Dr. Vishnu S. Pendyal
 a\, Soumya Batra\n\nVirtual: https://events.vtools.ieee.org/m/455744
LOCATION:Virtual: https://events.vtools.ieee.org/m/455744
ORGANIZER:pendyala@ieee.org
SEQUENCE:99
SUMMARY:Sustainable AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/455744
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p style=&quot;text-align: right\;
 &quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/9e99b38
 d-e641-4bac-8dc1-330327edc5b9&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;&lt;strong&gt;Synops
 is:&lt;br&gt;&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;\n&lt;div&gt;If not solved\, AI models&#39; power and water
  consumption threaten human society and ecology. AI is expected to consume
  4% of the world&#39;s electricity by 2026. Water requirements are even more a
 larming as water is a shared\, non-renewable resource. This talk will disc
 uss some ways\, such as data center redesign that industry and academia ar
 e working to tackle this issue and the research directions that may enable
  us to train and use energy-efficient models.&amp;nbsp\;&lt;/div&gt;
END:VEVENT
END:VCALENDAR

