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THE “DEEP DIVE” OF NATURAL LANGUAGE PROCESSING – 1
Natural language processing, i.e. the automated processing of human language with computers, is certainly not a new discipline. Some date it back to 1950, with Alan Turing’s famous test which a machine would pass by holding a convincingly “human” conversation…
A TRIP THROUGH SWISS POLITICS AND HISTORY
In the project entitled “A research platform for data-driven democracy studies in Switzerland” (DemocraSci), we are performing a comprehensive analysis of the Swiss parliament archives. The project is a collaboration between the Chair of Systems Design at ETH Zürich,...
DEEPSPHERE : A NEURAL NETWORK ARCHITECTURE FOR SPHERICAL DATA
In the last 5 years, the field of Machine Learning has been revolutionized by the success of deep learning. Thanks to the increasing availability of data and computations, we now are able to train very complex/deep models and hence solve challenging tasks better than...
HEART TISSUE ANALYSIS IN A HEARTBEAT
The beamline for TOmographic Microscopy and Coherent rAdiology experimentTs (TOMCAT) at the Paul Scherrer Institut (PSI) allows to do tomographic microscopy (SRXTM) using the X-rays from a synchrotron. This makes it possible to capture the three-dimensional structure...
FIRST CALL FOR DATA SCIENCE PROJECTS 2017
1. INTRODUCTION Data Science is one of the Strategic Focus Areas defined in the Strategic Planning 2017–2020 for the ETH Domain. The ETH Domain has launched the Initiative for Data Science in Switzerland to accelerate data science through education and research and...
PRIVACY-CONSCIOUS OPEN SCIENCE: A USE CASE IN BIOMEDICAL RESEARCH
In an earlier post we have highlighted the necessity to develop appropriate measures to safeguard against privacy risks stemming from biomedical research. Among the possible mechanisms, cryptographic, and differential privacy techniques were some of the suggested...