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.

11.05.2017 by ETH Global

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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 page Greater Zurich Area, external page Open Systems and the external page Swiss-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 page Meltem Demirors, Director, external page Digital Currency Group

Arthur Gervais, Institute of Information Security, ETH Zurich

external page Ashley Taylor, Community Microgrid Specialist, external page LO3 Energy

external page Joseph Lubin, Founder, external page ConsenSys

external page Elizabeth Stark, Co-Founder & CEO, external page Lightning

external page Daniel Doubrovkine, CTO, external page Artsy

external page Tadge Dryja, Research Scientist, external page MIT Media Lab

external page Matt Corallo, Engineer, external page Chaincode Labs

Venue

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

Program

Download Download program (PDF, 781 KB)

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.