BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Mexico/General
BEGIN:DAYLIGHT
DTSTART:20210404T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20211031T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210527T203225Z
UID:60CCF582-2749-4B8F-BE33-B0D23970B392
DTSTART;TZID=Mexico/General:20210526T200000
DTEND;TZID=Mexico/General:20210526T213000
DESCRIPTION:Abstract\n\nNiklaus Emil Wirth introduced the innovative idea t
 hat Programming = Algorithm + Data Structure. Inspired by this\, we advanc
 e the concept to the next level by stating that Design = Algorithm + Archi
 tecture. With concurrent exploration of algorithm and architecture entitle
 d Algorithm/Architecture Co-exploration (AAC)\, this methodology introduce
 s a leading paradigm shift in advanced system design from System-on-a-Chip
  to Cloud and Edge.\n\nAs algorithms with high accuracy become exceedingly
  more complex and Edge/IoT generated data becomes increasingly bigger\, fl
 exible parallel/reconfigurable processing are crucial in the design of eff
 icient signal processing systems having low power. Hence the analysis of a
 lgorithms and data for potential computing in parallel\, efficient data st
 orage and data transfer is crucial. With extension of AAC for SoC system d
 esigns to even more versatile platforms based on analytics architecture\, 
 system scope is readily extensible to cognitive cloud and reconfigurable e
 dge computing for multimedia and mobile health\, a cross-level-of abstract
 ion topic which will be introduced in this tutorial together with case stu
 dies.\n\nSpeaker(s): Dr. Chris Lee\, \n\nGuadalajara\, Jalisco\, Mexico\, 
 Virtual: https://events.vtools.ieee.org/m/270828
LOCATION:Guadalajara\, Jalisco\, Mexico\, Virtual: https://events.vtools.ie
 ee.org/m/270828
ORGANIZER:r.calderonr@ieee.org
SEQUENCE:6
SUMMARY:Machine Learning for Analytics Architecture: AI to Design AI\, by D
 r. Chris Lee
URL;VALUE=URI:https://events.vtools.ieee.org/m/270828
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;Niklaus 
 Emil Wirth introduced the innovative idea that&amp;nbsp\;&lt;em&gt;Programming = Alg
 orithm + Data Structure.&lt;/em&gt;&amp;nbsp\;Inspired by this\, we advance the conc
 ept to the next level by stating that&amp;nbsp\;&lt;em&gt;Design = Algorithm + Archi
 tecture.&lt;/em&gt;&amp;nbsp\;With concurrent exploration of algorithm and architect
 ure entitled Algorithm/Architecture Co-exploration (AAC)\, this methodolog
 y introduces a leading paradigm shift in advanced system design from Syste
 m-on-a-Chip to Cloud and Edge.&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp\;&lt;
 /span&gt;&lt;/p&gt;\n&lt;p&gt;As algorithms with&amp;nbsp\;&lt;em&gt;high accuracy&lt;/em&gt;&amp;nbsp\;becom
 e exceedingly more complex and Edge/IoT generated data becomes increasingl
 y bigger\,&amp;nbsp\;&lt;em&gt;flexible&lt;/em&gt;&amp;nbsp\;parallel/reconfigurable processin
 g are crucial in the design of&amp;nbsp\;&lt;em&gt;efficient&lt;/em&gt;&amp;nbsp\;signal proce
 ssing systems having&amp;nbsp\;&lt;em&gt;low power.&lt;/em&gt;&amp;nbsp\;Hence the analysis of
  algorithms and data for potential computing in parallel\, efficient data 
 storage and data transfer is crucial. With extension of AAC for SoC system
  designs to even more versatile platforms based on analytics architecture\
 , system scope is readily extensible to cognitive cloud and reconfigurable
  edge computing for multimedia and mobile health\, a cross-level-of abstra
 ction topic which will be introduced in this tutorial together with case s
 tudies.&lt;/p&gt;
END:VEVENT
END:VCALENDAR

