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DESCRIPTION:Machine Learning in Embedded\, Data-deprived Devices\n\nAbsract
  – Modern AI approaches are not suitable for small embedded systems that
  are disconnected from the Cloud. The must autonomously process sensor dat
 a\, decide what actions to take\, and learn from their experiences without
  the benefit of Cloud infrastructure. Common challenges include learning f
 rom only one example\, making rapid decisions and taking action in millise
 conds\; and delivering guaranteed performance. This talk will describe a v
 ariety of domains with these challenges and some of the approaches we use 
 to handling them.\n\nNon-US persons/citizens will have to join virtually. 
 We apologize for the inconvenience.\nMeeting link: https://ieeemeetings.we
 bex.com/ieeemeetings/j.php?MTID=ma7c03e51657c28bc5c544fb06ee4ab54\n\nMeeti
 ng number: 2530 743 0734 Password: XkpykrVN835  Agenda:\nIEEE HSV &amp; AESS D
 L Machine Learning in Embedded\, Data-deprived Devices\nJoin by video syst
 em\nDial 25307430734@ieeemeetings.webex.com\nYou can also dial 173.243.2.6
 8 and enter your meeting number.      Join by phone\n\n+1-415-655-0002 Uni
 ted States Toll\n1-855-282-6330 United States Toll Free\nAccess code: 2530
  743 0734\nHost PIN: 7069\n[Global call-in numbers](https://ieeemeetings.w
 ebex.com/webappng/sites/ieeemeetings/meeting/info/08ef2264f4504e9aaccf9d5f
 98d2d405#)| [Toll-free calling restrictions](https://cisco.com/go/tollfree
 -restrictions)\n\nSpeaker(s): Dr. Karen Haigh\, \n\nAgenda: \n11:30 Welcom
 e\, AESS introduction &amp; chapter update\n\n11:40 Meal (Boxed Lunch)\n\n11:4
 5 - 12:15 Speaker\n\n12:15 - 12:30 Discussion\n\n12:30 - Adjourn\n\n658 Di
 scovery Dr NW\, Huntsville\, AL 35806\, Huntsville\, Alabama\, United Stat
 es\, 35806\, Virtual: https://events.vtools.ieee.org/m/400698
LOCATION:658 Discovery Dr NW\, Huntsville\, AL 35806\, Huntsville\, Alabama
 \, United States\, 35806\, Virtual: https://events.vtools.ieee.org/m/40069
 8
ORGANIZER:goins@ieee.org
SEQUENCE:82
SUMMARY:IEEE HUNTSVILLE AESS CHAPTER IEEE\, DR. HAIGH\, DISTINGUISHED LECTU
 RER TALK:Machine Learning in Embedded\, Data-deprived Devices
URL;VALUE=URI:https://events.vtools.ieee.org/m/400698
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;&lt;span style=&quot;color: #000000\;&quot;&gt;Mac
 hine Learning in Embedded\, Data-deprived Devices&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;
 &lt;strong&gt;Absract &amp;ndash\; Modern AI approaches are not suitable for small e
 mbedded systems that are disconnected from the Cloud. The must autonomousl
 y process sensor data\, decide what actions to take\, and learn from their
  experiences without the benefit of Cloud infrastructure. Common challenge
 s include learning from only one example\, making rapid decisions and taki
 ng action in milliseconds\; and delivering guaranteed performance. This ta
 lk will describe a variety of domains with these challenges and some of th
 e approaches we use to handling them.&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Non-US pers
 ons/citizens will have to join virtually. We apologize for the inconvenien
 ce.&lt;/strong&gt;&lt;/p&gt;\n&lt;div class=&quot;meeting_detail_wrapper&quot; role=&quot;region&quot; aria-l
 abel=&quot;Meeting Information&quot;&gt;\n&lt;dl&gt;\n&lt;dt title=&quot;Meeting link:&quot;&gt;Meeting link:
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 6ee4ab54&quot; role=&quot;button&quot; aria-label=&quot;Using command C or Ctrl C to copy the 
 information&quot;&gt;https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=ma7c03
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 ector&quot; class=&quot;auto-select&quot; dir=&quot;auto&quot; tabindex=&quot;0&quot; title=&quot;2530 743 0734&quot; r
 ole=&quot;button&quot; aria-label=&quot;Using command C or Ctrl C to copy the information
 &quot;&gt;2530 743 0734&lt;/span&gt;&lt;/dd&gt;\n&lt;dt title=&quot;Password: &quot;&gt;Password:&lt;/dt&gt;\n&lt;dd id
 =&quot;mdp_advanced_info_password&quot; dir=&quot;auto&quot;&gt;XkpykrVN835&lt;/dd&gt;\n&lt;dd id=&quot;mdp_adv
 anced_info_host_key&quot;&gt;&lt;/dd&gt;\n&lt;dt title=&quot;Agenda: &quot;&gt;Agenda:&lt;/dt&gt;\n&lt;dd id=&quot;mdp
 _advanced_info_agenda&quot; class=&quot;html-support-unset&quot;&gt;\n&lt;div&gt;IEEE HSV &amp;amp\; A
 ESS DL Machine Learning in Embedded\, Data-deprived Devices&lt;/div&gt;\n&lt;/dd&gt;\n
 &lt;/dl&gt;\n&lt;/div&gt;\n&lt;div class=&quot;meeting_detail_wrapper&quot; role=&quot;region&quot; aria-labe
 l=&quot;More ways to join&quot;&gt;\n&lt;section&gt;\n&lt;dl&gt;\n&lt;dt title=&quot;Join by video system&quot;&gt;
 Join by video system&lt;/dt&gt;\n&lt;dd&gt;\n&lt;div id=&quot;mdp_video_address&quot;&gt;Dial&amp;nbsp\;&lt;s
 pan dir=&quot;auto&quot;&gt;25307430734@ieeemeetings.webex.com&lt;/span&gt;&lt;/div&gt;\n&lt;div id=&quot;m
 dp_video_dialing_ip_address&quot;&gt;You can also dial 173.243.2.68 and enter your
  meeting number.&lt;/div&gt;\n&lt;/dd&gt;\n&lt;/dl&gt;\n&lt;/section&gt;\n&lt;section&gt;\n&lt;dl&gt;\n&lt;dt tit
 le=&quot;Join by phone&quot;&gt;Join by phone&lt;/dt&gt;\n&lt;dd&gt;\n&lt;div&gt;\n&lt;div id=&quot;mdp_audio_cal
 l_in_numbers&quot; dir=&quot;auto&quot;&gt;\n&lt;div&gt;\n&lt;div&gt;&lt;span dir=&quot;auto&quot;&gt;+1-415-655-0002&lt;/s
 pan&gt;&amp;nbsp\;United States Toll&lt;/div&gt;\n&lt;div&gt;&lt;span dir=&quot;auto&quot;&gt;1-855-282-6330&lt;
 /span&gt;&amp;nbsp\;United States Toll Free&lt;/div&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;div id=&quot;mdp_a
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 9&lt;/div&gt;\n&lt;/div&gt;\n&lt;/dd&gt;\n&lt;/dl&gt;\n&lt;dl&gt;\n&lt;dt&gt;&lt;/dt&gt;\n&lt;dd&gt;\n&lt;div&gt;&lt;a id=&quot;mdp_show
 _global_call_in_number_link&quot; href=&quot;https://ieeemeetings.webex.com/webappng
 /sites/ieeemeetings/meeting/info/08ef2264f4504e9aaccf9d5f98d2d405#&quot;&gt;Global
  call-in numbers&amp;nbsp\;&lt;/a&gt;&lt;span class=&quot;txt_split&quot;&gt;|&lt;/span&gt;&amp;nbsp\;&lt;a id=&quot;m
 dp_toll_free_calling_restrictions_link&quot; href=&quot;https://cisco.com/go/tollfre
 e-restrictions&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot; aria-label=&quot;Download the to
 ll-free calling restrictions document&quot;&gt;Toll-free calling restrictions&lt;/a&gt;&lt;
 /div&gt;\n&lt;/dd&gt;\n&lt;/dl&gt;\n&lt;/section&gt;\n&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;11:30 
 Welcome\, AESS introduction &amp;amp\; chapter update&lt;/p&gt;\n&lt;p&gt;11:40 Meal (Boxe
 d Lunch)&lt;/p&gt;\n&lt;p&gt;11:45 - 12:15 Speaker&lt;/p&gt;\n&lt;p&gt;12:15 - 12:30 Discussion&amp;nb
 sp\;&lt;/p&gt;\n&lt;p&gt;12:30 - Adjourn&lt;/p&gt;
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