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DTSTAMP:20220421T113642Z
UID:11433841-ACA6-4D05-9564-42CF726133C4
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DTEND;TZID=America/New_York:20220420T201500
DESCRIPTION:Development of artificial intelligence/machine learning (AI/ML)
  capabilities is unquestionably on the rise\, as the United States and oth
 er nations seek to increase their military strength. Less clear is the ran
 king of those nations – who is leading the way in AI/ML? How does U.S. A
 I/ML research and development compare to other nations\, such as China?\n\
 nThis webinar presentation will summarize a recent global AI/ML landscape 
 report to provide the audience a nuanced analysis of who’s leading in th
 e AI/ML landscape\, including top researchers\, key research hubs\, and pa
 tterns of collaboration among nations.\n\nThe goal of the webinar is to in
 form understanding of the scope and nature of the AI/ML landscape\, collab
 oration\, and competition based on an analysis of recent global research a
 nd development (R&amp;D) trends. The analysis used a data-driven approach to b
 reak the extremely broad domain of AI/ML into specific research clusters\,
  such as computer vision\, cybersecurity applications\, neuromorphic compu
 ting\, etc. This result is a detailed and realistic look at global leaders
 hip that considers differences in R&amp;D focus between the United States and 
 emerging competitors.\n\nSpeaker(s): Jason Augustyn\, \n\nAgenda: \n7:00 I
 ntroductions\n\n7:05 Presentation Begins\n\n8:00 Open Discussion\n\n8:15 C
 lose\n\nVirtual: https://events.vtools.ieee.org/m/309997
LOCATION:Virtual: https://events.vtools.ieee.org/m/309997
ORGANIZER:schulman@ieee.org
SEQUENCE:2
SUMMARY:Emerging Trends in Artificial Intelligence and Machine Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/309997
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Development of artificial intelligence/mac
 hine learning (AI/ML) capabilities is unquestionably on the rise\, as the 
 United States and other nations seek to increase their military strength. 
 Less clear is the ranking of those nations &amp;ndash\; who is leading the way
  in AI/ML? How does U.S. AI/ML research and development compare to other n
 ations\, such as China?&lt;/p&gt;\n&lt;p&gt;&lt;br /&gt;This webinar presentation will summa
 rize a recent global AI/ML landscape report to provide the audience a nuan
 ced analysis of who&amp;rsquo\;s leading in the AI/ML landscape\, including to
 p researchers\, key research hubs\, and patterns of collaboration among na
 tions.&lt;/p&gt;\n&lt;p&gt;&lt;br /&gt;The goal of the webinar is to inform understanding of
  the scope and nature of the AI/ML landscape\, collaboration\, and competi
 tion based on an analysis of recent global research and development (R&amp;amp
 \;D) trends. The analysis used a data-driven approach to break the extreme
 ly broad domain of AI/ML into specific research clusters\, such as compute
 r vision\, cybersecurity applications\, neuromorphic computing\, etc. This
  result is a detailed and realistic look at global leadership that conside
 rs differences in R&amp;amp\;D focus between the United States and emerging co
 mpetitors.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;7:00 Introductions&lt;/p&gt;\n&lt;p&gt;7:05
  Presentation Begins&lt;/p&gt;\n&lt;p&gt;8:00 Open Discussion&lt;/p&gt;\n&lt;p&gt;8:15 Close&lt;/p&gt;
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