30 Mar 2022
Applied Machine Learning Days 2022
ITS SIS is organizing a conference track at the Applied Machine Learning Days 2022 (AMLD 2022) on the topic Academic Support & Scientific Services in AI.
The purpose of this track is to bring together domain scientists and AI experts who work collaboratively. These scientists and experts will share their experiences on the benefits and challenges of such "AI collaborations".
We have speakers from SDSC, Google, ScopeM, TCC/UniZH, etc. You can find a detailed description of our track, including speakers and agenda of the track, here At the end of the track, there will be a panel discussion for further exchange. We are looking forward to a diverse and stimulating session.
AMLD 2022 will take place from March 28-30, 2022, in Lausanne. Our track will be held on the 30th of March from 11:00-17:00. If you have time and interest in this topic, we would be delighted to see you at our track.
21 Mar 2022
Online event: AlphaFold2 on the Euler Cluster and Applications
The latest version of the AI-based AlphaFold has been recognized as a solution to the 50-year-old grand challenge in predicting the protein 3D folding structure by its amino acid sequence. To facilitate the use of AlphaFold2 for the ETH research community, Scientific IT Services (SIS) provide its Python package and databases required for running AlphaFold2 on the HPC Euler cluster. In this online event, we would like to present you the usage of AlphaFold2 on Euler and examples of applications.
Date: Monday 21 March 2022 at 10:00-11:00
Zoom link: https://ethz.zoom.us/j/64638964004
Agenda:
We are looking forward to seeing you at the event.
For questions, please contact jarunan@ethz.ch.
21 Mar 2022
BioMedIT - national personalized health research network fully operational
The BioMedIT project was launched in 2017 as part of the SPHN initiative, linking secure computing infrastructures in Basel, Lausanne and Zurich. At the moment, the project provides essential IT and data management services to over 60 national and international projects. Furthermore, to highlight this success, the project launched its website today.
The overall goal of personalized health research is to optimize disease diagnostics, prevention, and treatment based on patient characteristics (molecular, clinical and phenotypic). However, this is possible only if a critical mass of datasets, typically scattered across several healthcare institutions, can be analyzed efficiently and consistently.
BioMedIT makes it easier to reach this critical mass by offering an easy and secure way to conduct large multi-site projects. It builds on and integrates results from parallel initiatives around data interoperability at the national level.
For more details of BioMedIT, including success stories and organizational structure, please refer to the news item (English, German and French (links)). For more information about BioMedIT activities in ETH Zurich, please get in touch with the Leonhard Med team.
For more details please check our press releases in English, in German and in French.
For more past events checkout our News section
