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DTSTAMP:20200522T041937Z
UID:8C07F8B5-C510-4955-BE61-A9E01AF70D65
DTSTART;TZID=Australia/Sydney:20200522T130000
DTEND;TZID=Australia/Sydney:20200522T140000
DESCRIPTION:Blockchain Meet Deep Learning given by Professor Yifei Wei from
  Beijing University of Posts and Telecommunications\, Beijing\, China\n\nT
 his technical webinar is co-hosted by IEEE VTS NZNC and NSW\n\nAbstract:\n
 \nWith the transformation of Internet from information network to value ne
 twork\, blockchain technology is considered as an effective solution to re
 place the traditional central trusted-authority in the future due to its c
 haracteristics such as decentralization\, transparency\, traceability\, se
 curity\, anonymity. The successful application of blockchain in digital cu
 rrency\, finance\, logistics\, supply chain\, etc. has attracted tremendou
 s interests from both research communities and industry. Blockchain will b
 e more powerful when converged with technologies such as artificial intell
 igence\, big data\, and the Internet of things. The proof-of-work consensu
 s mechanism of blockchain sets an extremely high demand for computational 
 capability\, but the computation itself is meaningless and waste of energy
 . At the same time\, more and more deep learning tasks urgently need compu
 tation resource. Therefore\, we investigated the combination of blockchain
  technology and deep learning. This talk will present the basic principle\
 , development route\, successful applications of blockchain technology\, a
 nd introduce design proposal for the combination of blockchain and deep le
 arning\, followed by the deep learning task allocation scheme based on blo
 ckchain.\n\nSpeaker(s): Prof. Yifei Wei\, \n\nOnline Webinar\, please refe
 r to the flyer for more information\, Sydney\, New South Wales\, Australia
LOCATION:Online Webinar\, please refer to the flyer for more information\, 
 Sydney\, New South Wales\, Australia
ORGANIZER:ying.he@uts.edu.au
SEQUENCE:4
SUMMARY:IEEE VTS NZNC and NSW Chapter Co-hosted Webinar on Blockchain Meet 
 Deep Learning
URL;VALUE=URI:https://events.vtools.ieee.org/m/231257
X-ALT-DESC:Description: <br /><p>Blockchain Meet Deep Learning given by&nbs
 p\;Professor Yifei Wei from Beijing University of Posts and Telecommunicat
 ions\, Beijing\, China</p>\n<p>This technical webinar is co-hosted by IEEE
  VTS NZNC and NSW</p>\n<p>&nbsp\;</p>\n<p><br />Abstract:</p>\n<p>With the
  transformation of Internet from information network to value network\, bl
 ockchain technology is considered as an effective solution to replace the 
 traditional central trusted-authority in the future due to its characteris
 tics such as decentralization\, transparency\, traceability\, security\, a
 nonymity. The successful application of blockchain in digital currency\, f
 inance\, logistics\, supply chain\, etc. has attracted tremendous interest
 s from both research communities and industry. Blockchain will be more pow
 erful when converged with technologies such as artificial intelligence\, b
 ig data\, and the Internet of things. The proof-of-work consensus mechanis
 m of blockchain sets an extremely high demand for computational capability
 \, but the computation itself is meaningless and waste of energy. At the s
 ame time\, more and more deep learning tasks urgently need computation res
 ource. Therefore\, we investigated the combination of blockchain technolog
 y and deep learning. This talk will present the basic principle\, developm
 ent route\, successful applications of blockchain technology\, and introdu
 ce design proposal for the combination of blockchain and deep learning\, f
 ollowed by the deep learning task allocation scheme based on blockchain.</
 p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>
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