Data Science Projects
Our Collaborative Data Science Projects represent the diversity of the research and innovation undertaken in data science and AI within the ETH Domain, with scientific partners and with private and public sector stakeholders.
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SPI-PAMIR
In Progress
Energy, Climate & Environment
RESEARCH
deepLNAfrica
Completed
Mapping changes in urban informal settlements in sub-Saharan Africa using deep learning and open-access satellite imagery
RESEARCH
ML-L3DNDT
Completed
Robust and scalable Machine Learning algorithms for Laue 3-Dimensional Neutron Diffraction Tomography
Large-scale Infrastructures
RESEARCH
EUTHERMO
Completed
Scalable deep reinforcement learning algorithms for building climate control and energy management
Engineering
RESEARCH
IRMA
Completed
Interpretable and Robust Machine Learning for Mobility Analysis
Engineering
RESEARCH
ArcticNAP
Completed
Arctic climate change: Exploring the Natural Aerosol baseline for improved model Predictions
Energy, Climate & Environment
RESEARCH
SEMIRAMIS
Completed
AI-augmented Architectural Design
Engineering
RESEARCH
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
RESEARCH
MLTox
Completed
Enhancing toxicological testing through machine learning
Energy, Climate & Environment
RESEARCH
MACH-Flow
Completed
Machine learning for Swiss river flow estimation
Energy, Climate & Environment
RESEARCH
DeepCloud
Completed
A data-driven sub-grid parametrization for complex terrain
Energy, Climate & Environment
RESEARCH
4D-Brains
Completed
Extracting Activity from Large 4D Whole-Brain Image Datasets
Biomedical Data Science
RESEARCH
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