BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT DTSTART:20200329T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20191027T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20210304T142622Z UID:5671638B-76B7-4296-9EB3-0400142A4CDF DTSTART;TZID=Europe/Rome:20200220T110000 DTEND;TZID=Europe/Rome:20200220T123000 DESCRIPTION:Title\n\nFuture Internet: a bridge from Artificial Intelligence to Quantum Intelligence\n\nExtended Abstract\n\nThe transformative role o f Computer Science and Information Communication Technologies (ICT) has al ways been witnessed as a precursor of scientific progress and economic gro wth in the modern world. Today\, like never before\, we are witnessing an increasing exploitation of ultra-broadband (fixed-mobile) infrastructures and Cloud-Edge Computing\, for providing any sort of digital services for our daily life.\n\nThe so-called Digital Transformation is going to create a pervasive artificial nervous system embedded into the reality around us . As a matter of fact\, a very large adoption of mobile terminals and devi ces and a pervasive distribution of the Internet of Things will allow coll ecting enormous big data sets\, which will be communicated and transmitted by ultra-broadband\, low latency network connections (e.g.\, 5G) to Cloud and Edge Computing Data Centers (DCs). These DCs\, in turn\, will store a nd elaborate the collected big data in order to infer decisions (with Big Data analytics and big data analytics methods) which will be then exploite d\, locally\, by actuators. This is the typical closed loop of any autonom ic or artificial nervous system (e.g.\, collect-analyze-decide-act). There fore\, big data analytics and AI will be at the center of this transformat ion.\n\nLooking at the most promising Artificial Intelligence technologica l approaches\, Deep Neural Networks (DNNs) are outperforming in several ap plications domains. Processing big data to infer patterns at high speeds a nd with low power consumption is becoming more and more a central technolo gical challenge of the Digital Transformation. At the same time\, electron ics starts facing physically fundamental bottlenecks whilst nanophotonics technologies are considered promising candidates to overcome electronics l imitations.\n\nIn this direction\, there are evidences of an emerging rese arch an innovation field\, rooted in quantum optics\, where the technologi cal trajectories of DNNs and nanophotonics are crossing each other. As a m atter of fact\, it is likely that one of the possible explanations of DNN outperforming is really deeply rooted in the principles of theoretical Phy sics\, specifically Quantum Field Theory (QFT) and Gauge theory.\n\nThis i s encouraging even more researches and experiments in the direction of a f ull exploitation of quantum computing and networking for the development o f future internet and innovative ICT solutions. Given that QFT and Gauge t heory have been already proposed for modelling the brain and biological ne rvous systems\, this talk explores the intriguing possibility of exploitin g quantum optics principles also for developing a future “nervous system ” for the coming Quantum Society.\n\nSpeaker's Bio\n\nAntonio Manzalini received the M. Sc. Degree in Electronic Engineering from the Politecnico of Turin (Italy) and the Ph.D on Computer Science and Networks from Télé com SudParis and Université Pierre & Marie Curie – Sorbonne Université s (France). In 1990 he joined Telecom Italia (CSELT) to develop transport networks architectures. He has been ITU Rapporteur (1996-2000). He has bee n involved in leading roles of several EURESCOM and EU-funded Projects (e. g.\, FP5 IST Project LION\, FP6 IST IP NOBEL\, FP6 FET ICT Project CASCADA S). In 2003 he has been appointed as member of the Scientific Committee of the Centre Tecnològic de Telecomunicacions de Catalunya. In 2008 he achi eved the International Certification of Project Manager by PMI. He has bee n the leader of two EIT-Digital funded projects on SDN and NFV infrastruct ures (2010-2012). In 2013 he has been the Chair of the IEEE initiative on Software Defined Networks (2013-2016). Currently\, he is joining the Board of IEEE Comsoc Industry Committee. He has been General Chair and TPC memb er of several IEEE Conferences. He owns seven patents. His results have be en published in more than 130 of technical papers and publications. His in terests in TIM concern SDN\, NFV\, Cloud vs Multi-Access Edge Computing fo r 5G\, HPC\, Future Internet\, Quantum Communications and Metamaterials (f or 6G).\n\nRoom: Aula Ofek\, Bldg: Povo-1\, Via Sommarive 9\, Trento\, Tre ntino-Alto Adige\, Italy\, 38123 LOCATION:Room: Aula Ofek\, Bldg: Povo-1\, Via Sommarive 9\, Trento\, Trenti no-Alto Adige\, Italy\, 38123 ORGANIZER:fabrizio.granelli@unitn.it SEQUENCE:3 SUMMARY:IEEE Industrial Distinguished Lecturer Antonio Manzalini "Future In ternet: a bridge from Artificial Intelligence to Quantum Intelligence" URL;VALUE=URI:https://events.vtools.ieee.org/m/221884 X-ALT-DESC:Description: <br /><p style="font-weight: 400\;"><strong>Title</ strong></p>\n<p style="font-weight: 400\;"><em>Future Internet: a bridge f rom Artificial Intelligence to Quantum Intelligence</em></p>\n<p style="fo nt-weight: 400\;">&nbsp\;</p>\n<p style="font-weight: 400\;"><strong>Exten ded Abstract</strong></p>\n<p style="font-weight: 400\;">The transformativ e role of Computer Science and Information Communication Technologies (ICT ) has always been witnessed as a precursor of scientific progress and econ omic growth in the modern world. &nbsp\;Today\, like never before\, we are witnessing an increasing exploitation of ultra-broadband (fixed-mobile) i nfrastructures and Cloud-Edge Computing\, for providing any sort of digita l services for our daily life.</p>\n<p style="font-weight: 400\;">&nbsp\;< /p>\n<p style="font-weight: 400\;">The so-called Digital Transformation is going to create a pervasive artificial nervous system embedded into the r eality around us. As a matter of fact\, a very large adoption of mobile te rminals and devices and a pervasive distribution of the Internet of Things will allow collecting enormous big data sets\, which will be communicated and transmitted by ultra-broadband\, low latency network connections (e.g .\, 5G) to Cloud and Edge Computing Data Centers (DCs). These DCs\, in tur n\, will store and elaborate the collected big data in order to infer deci sions (with Big Data analytics and big data analytics methods) which will be then exploited\, locally\, by actuators. This is the typical closed loo p of any autonomic or artificial nervous system (e.g.\, collect-analyze-de cide-act). Therefore\, big data analytics and AI will be at the center of this transformation.</p>\n<p style="font-weight: 400\;">&nbsp\;</p>\n<p st yle="font-weight: 400\;">Looking at the most promising Artificial Intellig ence technological approaches\, Deep Neural Networks (DNNs) are outperform ing in several applications domains. Processing big data to infer patterns at high speeds and with low power consumption is becoming more and more a central technological challenge of the&nbsp\;Digital Transformation. At t he same time\, electronics starts facing physically fundamental bottleneck s whilst nanophotonics technologies are considered promising candidates to overcome electronics limitations.</p>\n<p style="font-weight: 400\;">&nbs p\;</p>\n<p style="font-weight: 400\;">In this direction\, there are evide nces of an emerging research an innovation field\, rooted in quantum optic s\, where the technological trajectories of DNNs and nanophotonics are cro ssing each other. As a matter of fact\, it is likely that one of the possi ble explanations of DNN outperforming is really deeply rooted in the princ iples of theoretical Physics\, specifically Quantum Field Theory (QFT) and Gauge theory. &nbsp\;</p>\n<p style="font-weight: 400\;">&nbsp\;</p>\n<p style="font-weight: 400\;">This is encouraging even more researches and ex periments in the direction of a full exploitation of quantum computing and networking for the development of future internet and innovative ICT solu tions. Given that QFT and Gauge theory have been already proposed for mode lling the brain and biological nervous systems\, this talk explores the in triguing possibility of exploiting quantum optics principles also for deve loping a future &ldquo\;nervous system&rdquo\; for the coming Quantum Soci ety.</p>\n<p style="font-weight: 400\;"><strong>Speaker's Bio</strong></p> \n<p style="font-weight: 400\;">Antonio Manzalini received the M. Sc. Degr ee in Electronic Engineering from the Politecnico of Turin (Italy) and the Ph.D on Computer Science and Networks from T&eacute\;l&eacute\;com SudPar is and Universit&eacute\; Pierre &amp\; Marie Curie &ndash\; Sorbonne Univ ersit&eacute\;s (France). In 1990 he joined Telecom Italia (CSELT) to deve lop transport networks architectures. He has been ITU Rapporteur (1996-200 0). He has been involved in leading roles of several EURESCOM and EU-funde d Projects (e.g.\, FP5 IST Project LION\, FP6 IST IP NOBEL\, FP6 FET ICT P roject CASCADAS). In 2003 he has been appointed as member of the Scientifi c Committee of the Centre Tecnol&ograve\;gic de Telecomunicacions de Catal unya. In 2008 he achieved the International Certification of Project Manag er by PMI. He has been the leader of two EIT-Digital funded projects on SD N and NFV infrastructures (2010-2012). In 2013 he has been the Chair of th e IEEE initiative on Software Defined Networks (2013-2016). Currently\, he is joining the Board of IEEE Comsoc Industry Committee. He has been Gener al Chair and TPC member of several IEEE Conferences. He owns seven patents . His results have been published in more than 130 of technical papers and publications. His interests in TIM concern SDN\, NFV\, Cloud vs Multi-Acc ess Edge Computing for 5G\, HPC\, Future Internet\, Quantum Communications and Metamaterials (for 6G).</p> END:VEVENT END:VCALENDAR