ETH Meets New York
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 - externe SeiteGreater Zurich Area, externe SeiteOpen Systems and the externe SeiteSwiss-American Chamber of Commerce. Follow us on social media #ETH2NY.
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.
externe SeiteMeltem Demirors, Director, externe SeiteDigital Currency Group
Arthur Gervais, Institute of Information Security, ETH Zurich
externe SeiteAshley Taylor, Community Microgrid Specialist, externe SeiteLO3 Energy
externe SeiteJoseph Lubin, Founder, externe SeiteConsenSys
externe SeiteElizabeth Stark, Co-Founder & CEO, externe SeiteLightning
externe SeiteDaniel Doubrovkine, CTO, externe SeiteArtsy
externe SeiteTadge Dryja, Research Scientist, externe SeiteMIT Media Lab
externe SeiteMatt Corallo, Engineer, externe SeiteChaincode Labs
Venue
National Sawdust externe Seitehttps://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.
externe SeiteChris Luebkeman, Arup Fellow & Global Director, externe SeiteArup Foresight
Ce Zhang, Department of Computer Science, ETH Zurich
Kevin Schawinski, Institute of Astronomy, Astrophysics, ETH Zurich
externe SeitePascal Kaufmann, Founder, externe SeiteStarmind International AG
externe SeiteGeorg Polzer, Co-Founder & CEO, externe SeiteTeralytics
externe SeiteChris Wiggins, externe SeiteColumbia University and externe SeiteNew York Times
externe SeiteJoanna Bryson, Associate Professor in AI, externe SeiteUniversity of Bath
externe SeiteMoritz Mann, Executive Vice President, externe SeiteOpen Systems
Venue
National Sawdust externe Seitehttps://nationalsawdust.org/
80 North 6th Street, Brooklyn, NY 11249