ETH Meets New York

17.03.2017

By:  ETH Global

New York City, 15 - 16 May 2017: ETH Zurich – The Swiss Federal Institute of Technology brings some of its top researchers to New York City to unravel the mysteries of science and technology in an exchange of ideas with our east coast counterparts in academia and industry.

From Machine Learning and Artificial Intelligence to Blockchain Technology, we invite you to participate in a series of free public gatherings that connect a community of scientists, engineers, industry leaders, and students. Join ETH Zurich and its presenting partners, Greater Zurich AreaOpen Systems and the Swiss-American Chamber of Commerce, in New York City. Follow #ETH2NY on social media.

Copyright: jntvisual

Symposium
Blockchain Technology

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.

Confirmed speakers:

Arthur Gervais, Institute of Information Security, ETH Zurich,
Ashley Taylor, Community Microgrid Specialist, LO3 Energy
Joseph Lubin, Founder, ConsenSys
Elizabeth Stark, Co-Founder & CEO, Lightning
Daniel Doubrovkine, CTO, Artsy
Tadge Dryja, MIT Media Lab

Venue:
National Sawdust https://nationalsawdust.org/
80 North 6th Street, Brooklyn, NY 11249

Program (PDF, 669 KB)
Save your seat - register now!

 

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Symposium
The Future is Cognitive

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.

Confirmed speakers:
Chris Luebkeman, Arup Fellow & Global Director, Arup Foresight    
Ce Zhang, Department of Computer Science, ETH Zurich
Kevin Schawinski, Institute of Astronomy, Astrophysics, ETH Zurich
Pascal Kaufmann, Founder & CEO, Starmind International AG
Georg Polzer, Co-Founder & CEO, Teralytics
Joanna Bryson, Associate Professor in AI, University of Bath    
Chris Wiggins, Columbia University and New York Times

Venue:
National Sawdust https://nationalsawdust.org/
80 North 6th Street, Brooklyn, NY 11249

Program (PDF, 361 KB)
Save your seat - Register Now!

 
 
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Mon Apr 24 15:15:13 CEST 2017
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