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ORGANIZERS Full text - English version AIR FRANCE & KLM Global Meetings Event: THE WEB CONFERENCE 2018 Event ID: 31063AF Valid for travel from 18/04/2018 to 02/05/2018 Event location: Lyon, France Attractive discounts on a wide range of airfares on all Air France and KLM flights worldwide**. Use the website of this event or visit www.airfranceklm-globalmeetings.com to • access the preferential fares granted for this event*, • make your booking, • and issue your electronic ticket*. If you buy your ticket via AIR FRANCE & KLM Global Meetings website, your electronic ticket will carry a special mention which justifies the application of the preferential fares. Should you prefer to process your reservations and ticket-purchase directly with an Air France and KLM sales outlet, you must keep this current document which serves to justify the application of the preferential airfares Keep the document to justify the special fares with you as you may be asked for it at any point of your journey. Frequent flyer / loyalty programs of Air France and KLM partner airlines are credited with "miles" when Air France or KLM flights are used. * not available in certain countries ** subject to conditions Air France, French Limited Company with a capital of 126,748,775 Euros Head Office: 45, rue de Paris, 95747 Roissy CDG cedex, France Registered on the Trade and Companies register in Bobigny under no. 420 495 178 Koninklijke Luchtvaart Maatschappij n.v. (also known as KLM Royal Dutch Airlines) Head Office: Amsterdamseweg 55, 1182 GP Amstelveen, the Netherlands Registered No 33014286 Edited by AIR FRANCE & KLM Global Meetings: PC.GS MI 4.

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A Brief Taxonomy of Hybrid Intelligence
forecasting Perspective A Brief Taxonomy of Hybrid Intelligence Niccolo Pescetelli Department of Humanities and Social Sciences, New Jersey Institute of Technology, Newark, NJ 07102, USA; [email protected] Abstract: As artiﬁcial intelligence becomes ubiquitous in our lives, so do the opportunities to combine machine and human intelligence to obtain more accurate and more resilient prediction models across a wide range of domains. Hybrid intelligence can be designed in many ways, depending on the role of the human and the algorithm in the hybrid system. This paper offers a brief taxonomy of hybrid intelligence, which describes possible relationships between human and machine intelligence for robust forecasting. In this taxonomy, biological intelligence represents one axis of variation, going from individual intelligence (one individual in isolation) to collective intelligence (several connected individuals). The second axis of variation represents increasingly sophisticated algorithms that can take into account more aspects of the forecasting system, from information to task to human problem- solvers. The novelty of the paper lies in the interpretation of recent studies in hybrid intelligence as precursors of a set of algorithms that are expected to be more prominent in the future. These algorithms promise to increase hybrid system’s resilience across a wide range of human errors and biases thanks to greater human-machine understanding. This work ends with a short overview for future research in this ﬁeld. Keywords: hybrid intelligence; collective intelligence; AI; forecasting Citation: Pescetelli, N. A Brief 1. Introduction Taxonomy of Hybrid Intelligence. The last decade has seen major advances in computation power and its increased Forecasting 2021, 3, 633–643.
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CV 1 September 2016 University of Pittsburgh, PITTSBURGH, PA Present Research Assistant, Research Supervisor : Dr
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Xiangyu Zhao's CV
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