BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Pacific BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20191103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190528T230724Z UID:0BDBCDEC-045E-401D-A149-9875C63F280F DTSTART;TZID=US/Pacific:20190511T100000 DTEND;TZID=US/Pacific:20190511T113000 DESCRIPTION:1) Talk title1: The Evolution of Artificial Intelligence: From the Past to the Future\n\nAbstract:\nIn this talk\, I will trace the devel opment of AI through the key inventions in AI\, covering the development o f machine learning\, speech recognition\, image understanding\, deep learn ing and reinforcement learning. You will get a behind-the-scene view of Am azon Alexa\, Apple Siri\, and DeepMind’s AlphaGo. This talk will give yo u an understanding of core AI technologies today and the historical contex t behind them. Finally\, I will share my view on the next big things\, whe re jobs go\, and where new products can be built.\n\nBio:\nDr. Junling Hu\ n\nDr. Junling Hu is the author of a new book titled The Evolution of Arti ficial Intelligence.. Dr. Hu has been an AI researcher\, technology leader \, and educator for the last 20 years. She is a recipient of National Scie nce Foundation Career Award. She has worked as Director of data mining at Samsung\, and managed AI teams at PayPal\, eBay and Bosch. She has also wo rked as an Assistant Professor at University of Rochester. Currently she i s the CEO of AIPro Camp LLC dba AIPro.io\, an AI education company devoted to training and education about AI. Dr. Hu received a PhD in Computer Sci ence from University of Michigan at Ann Arbor and her research was focused on reinforcement learning. Her dissertation title was “Learning in Dyna mic Non-cooperative Multiagent Systems” and led to many well-cited paper s.\n\n2) Talk Title2: Machine Learning for Veracity of Big Data\n\nAbstrac t:\nMachine Learning is increasingly proving itself to be the mortar of mo dernization. The talk will examine how Machine Learning can be applied to the problem of veracity of Big Data\, particularly\, Web information. We a re overwhelmingly depending on data for crucial tasks like driving as in s elf-driving cars\, delivery as in autonomous drones and even in electing P residents of countries\, owing to the role of Online Social Networks like Twitter in these elections. Trusting technology has become inevitable. Com promising the quality of data in these circumstances can be hazardously ri sky. Ideally\, data should be entirely truthful and accurate. However\, th ere have been a number of instances where data was manipulated or posted f raudulently for ulterior motives\, causing serious damage. Misinformation Containment is indeed a difficult task and computationally\, has been prov en to be NP-hard.\n\nThe Web is an important enabler of the evolving world economy and has the potential to bring more and more people into the main stream. The Web\, being humanity’s largest source of information and int eraction\, can serve as a conduit of humanitarian services and presents a huge opportunity to enhance the quality of life further. Unfortunately\, a significant percent of the information posted on the Web is not entirely true\, which substantially limits its ability to serve the needs of the hu manity. this talk will go deeper into the ideas from Machine Learning to s ee how we can help make the World Wide Web\, particularly the Social Media part of it\, entirely truthful\, which should ideally be an important mil estone to achieve in the near future. The talk will draw from the speaker ’s recent book “Big Data: Machine Learning and Other Approaches to Ver ifying Truthfulness”.\n\nBio:\nDr. Vishnu S. Pendyala\n\nDr. Vishnu S. P endyala is the author of a new book titled Veracity of Big Data. Dr. Pendy ala leads the DevOps activities at Cisco for some significant products. He is a seasoned Technical Leader with over two decades of development\, por ting\, and DevOps experience with industry leaders like Cisco\, Synopsys\, Informix (now IBM)\, and Electronics Corporation of India Limited. He rec eived his PhD in Computer Engineering from Santa Clara University. His dis sertation title was “Evolving a Truthful Humanitarian World Wide Web”. Earlier\, he received MS (Computer Engineering) degree from San Jose Stat e University. He also received BE (Computer Science)\, MBA(Finance) degree s both from Osmania University\, Hyderabad\, India.\n\nOpen to all to atte nd\n(Online registration is needed. If you did not register\, seating is n ot guaranteed.)\n\nCo-sponsored by: Computational Intelligence Society\, S olid State Circuits Society (SSCS) and Circuits and Systems Society – Sa nta Clara Valley Chapter (CASS-SCV)\n\nBldg: Student Union\, San Jose Stat e University\, San Jose\, California\, United States LOCATION:Bldg: Student Union\, San Jose State University\, San Jose\, Calif ornia\, United States ORGANIZER:nekuii@gmail.com SEQUENCE:0 SUMMARY:The Evolution of Artificial Intelligence: From the Past to the Futu re & Machine Learning for Veracity of Big Data URL;VALUE=URI:https://events.vtools.ieee.org/m/199632 X-ALT-DESC:Description: <br /><p><strong>1) Talk title1:</strong>&nbsp\;The Evolution of Artificial Intelligence: From the Past to the Future</p>\n<p ><strong>Abstract:</strong><br />In this talk\, I will trace the developme nt of AI through the key inventions in AI\, covering the development of ma chine learning\, speech recognition\, image understanding\, deep learning and reinforcement learning. You will get a behind-the-scene view of Amazon Alexa\, Apple Siri\, and DeepMind&rsquo\;s AlphaGo. This talk will give y ou an understanding of core AI technologies today and the historical conte xt behind them. Finally\, I will share my view on the next big things\, wh ere jobs go\, and where new products can be built.</p>\n<p><strong>Bio:</s trong><br />Dr. Junling Hu</p>\n<p>Dr. Junling Hu is the author of a new b ook titled The Evolution of Artificial Intelligence.. Dr. Hu has been an A I researcher\, technology leader\, and educator for the last 20 years. She is a recipient of National Science Foundation Career Award. She has worke d as Director of data mining at Samsung\, and managed AI teams at PayPal\, eBay and Bosch. She has also worked as an Assistant Professor at Universi ty of Rochester. Currently she is the CEO of AIPro Camp LLC dba AIPro.io\, an AI education company devoted to training and education about AI. Dr. H u received a PhD in Computer Science from University of Michigan at Ann Ar bor and her research was focused on reinforcement learning. Her dissertati on title was &ldquo\;Learning in Dynamic Non-cooperative Multiagent System s&rdquo\; and led to many well-cited papers.</p>\n<p>2)<strong>&nbsp\;Talk Title2:</strong>&nbsp\;Machine Learning for Veracity of Big Data</p>\n<p> <strong>Abstract:</strong><br />Machine Learning is increasingly proving i tself to be the mortar of modernization. The talk will examine how Machine Learning can be applied to the problem of veracity of Big Data\, particul arly\, Web information. We are overwhelmingly depending on data for crucia l tasks like driving as in self-driving cars\, delivery as in autonomous d rones and even in electing Presidents of countries\, owing to the role of Online Social Networks like Twitter in these elections. Trusting technolog y has become inevitable. Compromising the quality of data in these circums tances can be hazardously risky. Ideally\, data should be entirely truthfu l and accurate. However\, there have been a number of instances where data was manipulated or posted fraudulently for ulterior motives\, causing ser ious damage. Misinformation Containment is indeed a difficult task and com putationally\, has been proven to be NP-hard.</p>\n<p>The Web is an import ant enabler of the evolving world economy and has the potential to bring m ore and more people into the mainstream. The Web\, being humanity&rsquo\;s largest source of information and interaction\, can serve as a conduit of humanitarian services and presents a huge opportunity to enhance the qual ity of life further. Unfortunately\, a significant percent of the informat ion posted on the Web is not entirely true\, which substantially limits it s ability to serve the needs of the humanity. this talk will go deeper int o the ideas from Machine Learning to see how we can help make the World Wi de Web\, particularly the Social Media part of it\, entirely truthful\, wh ich should ideally be an important milestone to achieve in the near future . The talk will draw from the speaker&rsquo\;s recent book &ldquo\;Big Dat a: Machine Learning and Other Approaches to Verifying Truthfulness&rdquo\; .</p>\n<p><strong>Bio:</strong><br />Dr. Vishnu S. Pendyala</p>\n<p>Dr. Vi shnu S. Pendyala is the author of a new book titled Veracity of Big Data. Dr. Pendyala leads the DevOps activities at Cisco for some significant pro ducts. He is a seasoned Technical Leader with over two decades of developm ent\, porting\, and DevOps experience with industry leaders like Cisco\, S ynopsys\, Informix (now IBM)\, and Electronics Corporation of India Limite d. He received his PhD in Computer Engineering from Santa Clara University . His dissertation title was &ldquo\;Evolving a Truthful Humanitarian Worl d Wide Web&rdquo\;. Earlier\, he received MS (Computer Engineering) degree from San Jose State University. He also received BE (Computer Science)\, MBA(Finance) degrees both from Osmania University\, Hyderabad\, India.</p> \n<p><strong>Open to all to attend</strong><br />(Online registration is n eeded. If you did not register\, seating is not guaranteed.)</p> END:VEVENT END:VCALENDAR