Welcome to the Google Developer Student Clubs (GDSC) Zurich!
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Founded in 2020, Zurich GDSC is a university-based community for STEM students interested in technology. Our mission is to provide student developers with a way to grow their knowledge, network with their peers and build solutions that impact their communities. We are working to bring you exciting speakers, workshops, and introductory classes with experts from leading companies and institutions - both online and in-person.
We have hosted events with guest speakers from Google, Google Developer Experts, Google for Startups, Amazon, DeepMind, Disney Research, Meta, Microsoft, NASA, NVIDIA, Oracle, Precisely, Weights & Biases as well as researchers from ETHZ, EPFL, CMU, KTH, UIUC, University of Cambridge, and University of Basel.
Frequently Asked Questions (FAQ):
We collaborate(d) with Google Developer Student Clubs at (in alphabetical order) London School of Economics, Technical University of Munich, University of Bologna.
Thanks for joining! Please, let us know what else we can do to support our community.
Build Good Things, TogETHer
Join us for the third event of our Competitive Programming Workshop series featuring world-class competitive programmers who will share their unique journeys and solve some problems, while guiding us through their thought process as experienced competitors. We designed this event series to connect competitive programmers of all skill levels at ETHZ, UZH, and beyond! Ready to have fun?
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Have you ever wanted to master latest C++'s features? 💻 Then, join us for a hybrid talk by Francesco Zoffoli, Software Engineer at Meta and author of the book C++ Fundamentals, who will give a comprehensive overview of modern C++ and its most defining features, explaining why they improve over the existing practices and how these can be applied to your programs.
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Joins us for a hybrid talk by Georgios Paschos and Daniel Guimarans from the EU Research Science team of Amazon to gain insights into state-of-the-art algorithms that power Amazon's transportation network. Moreover, registered attendees will have the opportunity of ***exclusive*** early application for 2023 internships, and those in-person to chat with our speakers around a free aperitif!
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Matteo Casserini, Machine Learning Lead at Oracle Labs in Zurich will introduce their key research topic with the role of anomaly detection techniques in real-world security applications, and how ML explainability and interpretability is necessary in order to translate the anomalies detected in the system into actionable events.
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Join us for this exciting talk on decentralized finance (DeFi)! DeFi refers to an alternative financial infrastructure built on top of the public blockchains. DeFi uses smart contracts to create protocols that replicate existing financial services in a more open, interoperable, and transparent way. In this talk, Prof. Schär will highlight opportunities, risks and potential regulatory responses.
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May 20, 2022
Info Session
Exploring Computer Vision #2 with EPFL CVLab Postdoctoral Researcher
ETH Zurich
May 12, 2022
Hands-on Workshop
Industry Level ML with Weights & Biases - Talk, Competition with Prizes, and free Aperitif
ETH Zurich
May 11, 2022
Speaker Session / Tech Talk
Google I/O Extended 2022
ETH Zurich
May 10, 2022
Speaker Session / Tech Talk
Research in AI and Game Theory + Careers in Machine Learning with CMU Ph.D. Candidate
ETH Zurich
May 5, 2022
Explore ML Intermediate
ML Workshop: Applied Deep Learning with Autoencoders
ETH Zurich
May 4, 2022
Speaker Session / Tech Talk
Data analysis and Machine Learning in competitive data science
ETH Zurich
May 3, 2022
Info Session
Exploring Computer Vision with ETH Zurich CVL Senior Researcher
ETH Zurich
Apr 28, 2022
Speaker Session / Tech Talk
Mapping the Human Body – From Medical Data to Precision Treatments with Snke OS
ETH Zurich
ETH Zürich
Core Team Lead
ETH Zürich
Core Team Lead
ETH Zürich
Core Team Member
CVLab @ EPFL
Core Team Member
ETH Zurich
Core Team Member
ETH Zurich
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
