ETH Meets New York 2017
New York, 15 - 16 May 2017 - ETH Zurich, the Swiss Federal Institute of Technology in Zurich, Switzerland brings top researchers to New York to unravel the mysteries of science and technology in an exchange of ideas with our counterparts in academia and industry.
From Machine Learning and Artificial Intelligence to Blockchain Technology, we invite you to participate in two free public gatherings that connect a community of computer scientists, industry leaders, international media, and students. Join ETH Zurich in New York along with its presenting partners - external pageGreater Zurich Area, external pageOpen Systems and the external pageSwiss-American Chamber of Commerce. Follow us on social media #ETH2NY.
ETH Meets New York 2017
Blockchain Technology
Symposium - Monday, 15 May 2017, 5:00 pm
The security characteristics of blockchain technology allow a shift to well-known trust assumptions enabling society to remove the central authorities of many systems including: conventional banking, escrow, gambling and even dispute mediation. As blockchain technology is truly disruptive, it has gathered much attention across industries, academia, and startup scenes worldwide.
Blockchain Technology Symposium Speakers
Videos of talks
Please find the videos of the talks here.
external pageMeltem Demirors, Director, external pageDigital Currency Group
Arthur Gervais, Institute of Information Security, ETH Zurich
external pageAshley Taylor, Community Microgrid Specialist, external pageLO3 Energy
external pageJoseph Lubin, Founder, external pageConsenSys
external pageElizabeth Stark, Co-Founder & CEO, external pageLightning
external pageDaniel Doubrovkine, CTO, external pageArtsy
external pageTadge Dryja, Research Scientist, external pageMIT Media Lab
external pageMatt Corallo, Engineer, external pageChaincode Labs
Venue
National Sawdust external pagehttps://nationalsawdust.org/
80 North 6th Street, Brooklyn, NY 11249
Program
The Future is Cognitive
Symposium - Tuesday, 16 May 2017, 5:00 pm
The goal of machine learning is to enable computers to learn and excel at performing specific tasks. Examples of these tasks range from driving a car and recognizing a face in a picture, to improving a web search. It has also been argued that, through machine learning, we can get closer to achieving the overarching goal of human-level Artificial Intelligence (AI). In the future, machine learning will play a significant role in many industries and institutions.
The Future is Cognitive Symposium Speakers
Videos of talks
Please find the videos of the talks here.
external pageChris Luebkeman, Arup Fellow & Global Director, external pageArup Foresight
Ce Zhang, Department of Computer Science, ETH Zurich
Kevin Schawinski, Institute of Astronomy, Astrophysics, ETH Zurich
external pagePascal Kaufmann, Founder, external pageStarmind International AG
external pageGeorg Polzer, Co-Founder & CEO, external pageTeralytics
external pageChris Wiggins, external pageColumbia University and external pageNew York Times
external pageJoanna Bryson, Associate Professor in AI, external pageUniversity of Bath
external pageMoritz Mann, Executive Vice President, external pageOpen Systems
Venue
National Sawdust external pagehttps://nationalsawdust.org/
80 North 6th Street, Brooklyn, NY 11249