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DTSTAMP:20220129T000102Z
UID:5308DC15-A738-4560-876B-6DD776E4D70B
DTSTART;TZID=US/Pacific:20220125T180000
DTEND;TZID=US/Pacific:20220125T193000
DESCRIPTION:AI is a foundational technology at Meta: we use AI to identify 
 relevant and interesting content our users delight at interacting with\, t
 o translate content to transcend language barriers\, and to keep our commu
 nities safe by identifying inappropriate content\, such as bullying\, dome
 stic violence and terrorism in images\, videos\, and text. The need for ev
 er higher quality models intersects with the imperative of keeping AI grow
 th sustainable. While academic research has emphasized an exponential reso
 urce growth of models to deliver quality\, we must bend the curve to ensur
 e sustainable growth and minimize environmental impact. As we are looking 
 for ever higher quality\, larger scale models to deliver on our mission to
  connect users and build safe communities\, AI accelerators provide the fo
 undation for scaling up quality\, while keeping power consumption manageab
 le and sustainable\, and delivering on our sustainability commitments.\n\n
 Co-sponsored by: IEEE Computational Intelligence Society - San Diego Chapt
 er\n\nSpeaker(s): Michael Gschwind\, FIEEE \, \n\nMenlo Park\, California\
 , United States\, Virtual: https://events.vtools.ieee.org/m/300539
LOCATION:Menlo Park\, California\, United States\, Virtual: https://events.
 vtools.ieee.org/m/300539
ORGANIZER:dejan.milojicic@hpe.com
SEQUENCE:7
SUMMARY:Sustainable AI @ Scale: Accelerating AI Models for Billions of User
 s
URL;VALUE=URI:https://events.vtools.ieee.org/m/300539
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;AI is a foundational technology at Meta: w
 e use AI to identify relevant and interesting content our users delight at
  interacting with\, to translate content to transcend language barriers\, 
 and to keep our communities safe by identifying inappropriate content\, su
 ch as bullying\, domestic violence and terrorism in images\, videos\, and 
 text.&amp;nbsp\;The need for ever higher quality models intersects with the im
 perative of keeping AI growth sustainable. &amp;nbsp\;While academic research 
 has emphasized an exponential resource growth of models to deliver quality
 \, we must bend the curve to ensure sustainable growth and minimize enviro
 nmental impact. &amp;nbsp\; As we are looking for ever higher quality\, larger
  scale models to deliver on our mission to connect users and build safe co
 mmunities\, AI accelerators provide the foundation for scaling up quality\
 , while keeping power consumption manageable and sustainable\, and deliver
 ing on our sustainability commitments.&amp;nbsp\;&lt;/p&gt;
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