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DTSTART:20230312T030000
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DTSTART:20221106T010000
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DTSTAMP:20230103T125046Z
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DTSTART;TZID=US/Pacific:20230102T203000
DTEND;TZID=US/Pacific:20230102T213000
DESCRIPTION:Free Registration: https://www.eventbrite.com/e/quantum-paradig
 m-for-machine-learning-tickets-470791669557\n\nSynopsis:\n\nThe area of qu
 antum machine learning (QML) is a young one and is expanding quickly. QML 
 builds artificial intelligence that utilises quantum technology to increas
 e the efficiency and effectiveness of learning algorithms. In order to ove
 rcome the difficulties of merging quantum computation and machine learning
  and to advance our understanding in this field\, strong interdisciplinary
  cooperation are required. The lecture&#39;s objectives are to introduce QML t
 o the audience and to examine the field&#39;s scope as well as its technical d
 ifficulties.\n\nSpeaker(s): Dr Chakrabarti\, Vishnu S. Pendyala\n\nVirtual
 : https://events.vtools.ieee.org/m/333478
LOCATION:Virtual: https://events.vtools.ieee.org/m/333478
ORGANIZER:pendyala@ieee.org
SEQUENCE:1
SUMMARY:Quantum Paradigm for Machine Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/333478
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Free Registration: https://www.eventbrite.
 com/e/quantum-paradigm-for-machine-learning-tickets-470791669557&lt;/p&gt;\n&lt;p&gt;&lt;
 em&gt;&lt;strong&gt;Synopsis:&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;\n&lt;p&gt;The area of quantum machine lea
 rning (QML) is a young one and is expanding quickly. QML builds artificial
  intelligence that utilises quantum technology to increase the efficiency 
 and effectiveness of learning algorithms. In order to overcome the difficu
 lties of merging quantum computation and machine learning and to advance o
 ur understanding in this field\, strong interdisciplinary cooperation are 
 required. The lecture&#39;s objectives are to introduce QML to the audience an
 d to examine the field&#39;s scope as well as its technical difficulties.&lt;/p&gt;
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