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VERSION:2.0
PRODID:IEEE vTools.Events//EN
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TZID:Asia/Calcutta
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20200813T171452Z
UID:2EE5D00F-6A76-40C8-9065-23680602694E
DTSTART;TZID=Asia/Calcutta:20200731T170000
DTEND;TZID=Asia/Calcutta:20200731T180000
DESCRIPTION:The field of Artificial Intelligence has made rapid progress in
  recent years\, matching or in some cases\, even surpassing human accuracy
  at tasks such as computer vision\, natural language processing and machin
 e translation. The intersection of artificial intelligence (AI) and GIS is
  creating massive opportunities that were not possible before. AI\, machin
 e learning and deep learning are helping us make a better world by helping
  increase crop yield through precision agriculture\, in fighting crime by 
 deploying predictive policing models\, or predicting when the next big sto
 rm will hit and being better equipped to handle it. GIS has traditionally 
 used machine learning tools for prediction\, classification and clustering
 . One area of AI that has emerged in recent years is deep learning\, and i
 t has done exceedingly well in computer vision tasks. This is particularly
  useful for GIS\, as satellite\, aerial and drone imagery is being produce
 d at a rate that makes it impossible to analyze and derive insight in a ti
 mely manner through traditional means. This demo-rich session will showcas
 e several examples of applying AI\, machine learning\, and deep learning t
 o geospatial data. We will cover several scenarios of applying the machine
  learning and deep learning techniques to geospatial data.\n\nSpeaker(s): 
 Rohit Singh \, \n\nAgenda: \nDistinguished Lecture Program\n\nOnline Event
  ( free registration at registration link) \, Ahmedabad \, Gujarat\, India
LOCATION:Online Event ( free registration at registration link) \, Ahmedaba
 d \, Gujarat\, India
ORGANIZER:shivmohan.isro@gmail.com
SEQUENCE:5
SUMMARY:GeoAI: Applying Machine Learning and Deep Learning to Geospatial Da
 ta
URL;VALUE=URI:https://events.vtools.ieee.org/m/236275
X-ALT-DESC:Description: <br /><p>The field of Artificial Intelligence has m
 ade rapid progress in recent years\, matching or in some cases\, even surp
 assing human accuracy at tasks such as computer vision\, natural language 
 processing and&nbsp\;machine translation. The intersection of artificial i
 ntelligence (AI) and GIS is creating massive&nbsp\;opportunities that were
  not possible before. AI\, machine learning and deep learning are helping 
 us make&nbsp\;a better world by helping increase crop yield through precis
 ion agriculture\, in fighting crime by&nbsp\;deploying predictive policing
  models\, or predicting when the next big storm will hit and being better 
 equipped to handle it.&nbsp\;GIS has traditionally used machine learning t
 ools for prediction\, classification and clustering. One area of&nbsp\;AI 
 that has emerged in recent years is deep learning\, and it has done exceed
 ingly well in computer vision&nbsp\;tasks. This is particularly useful for
  GIS\, as satellite\, aerial and drone imagery is being produced at a rate
 &nbsp\;that makes it impossible to analyze and derive insight in a timely 
 manner through traditional means.&nbsp\;This demo-rich session will showca
 se several examples of applying AI\, machine learning\, and deep&nbsp\;lea
 rning to geospatial data. We will cover several scenarios of applying the 
 machine learning and deep&nbsp\;learning techniques to geospatial data.</p
 ><br /><br />Agenda: <br /><p>&nbsp\;</p>\n<p>Distinguished Lecture Progra
 m&nbsp\;</p>\n<p>&nbsp\;</p>
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