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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...
BIOMEDICAL DATA, NAVIGATING BETWEEN PUBLIC HEALTH ADVANCEMENTS AND PRIVACY CHALLENGES
A new era for biomedical research Thanks to the fast progress in sequencing technologies, the cost of molecular profiling has plummeted over the last decade, making a colossal amount of biological data available for research. Since the first sequencing of the human...
OPEN AND REPRODUCIBLE ENVIRONMENTAL SCIENCE: FROM THEORY TO EQUATIONS AND ALGORITHMS
Computer models for generation and use of scientific understanding Mathematical and numerical models are increasingly important for our understanding and prediction of complex interactive processes. Consider, for example, our climate system. Current understanding of...