ETH Meets You at the WORLDWEBFORUM
ETH Zurich is pleased to engage with the WORLDWEBFORUM, hosting two "Vertical" sessions on Wednesday, 25 January 2017.
Sometimes referred to as the WEF of technology, the WORLDWEBFORUM explores innovative trends that will transform the way we live - from energy to fintech and from machine learning to digital collaboration. ETH Zurich researchers on the cutting edge of many of these new trends will host two Vertical sessions on Day 2 of the WORLDWEBFORUM, Wednesday, 25 January 2017
Machine Learning
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, 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 AI. In the future machine learning will play a significant role in many industries and institutions. The greater Zurich area is well positioned to expand its already leading position as an AI and machine learning technology hub. This vertical will look at the technological, medical, economic, socio-economic, and political dimensions of machine learning and AI.
Jürg Brunnschweiler, Director ETH Global moderates an engaging session on Machine Learning with speakers:
- Chris Luebkeman, Global Director for Foresight + Research + Innovation
- Benjamin F. Grewe, Professor at the Institute of Neuroinformatics
- Costas Bekas, Principal Researcher at Foundations of Cognitive Solutions.
Enter promo code MACHINELEARNING for a reduction in session fee. external page Tickets and more info...
Next Generation
Sir Tim Berners-Lee, Inventor of the World Wide Web will speak on the past, present, and future of the web. Along with three speakers from ETH Zurich, this Vertical session explores both the technical and social aspects of the future of the web. Berners-Lee is joined by ETH Zurich President Lino Guzzella and Assistant Professors Laurent Vanbever and Ankit Singla. LIVE at ETH Zurich's Audi-Max. Advance application required. Application closes 18 January 2017. external page More...