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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In Progress
AI for Detecting Ocean Plastic Pollution with Tracking
Climate & Environment
Sustainable ingredients
Completed
Leveraging AI to foster sustainable consumer goods
Energy & Sustainability
Private sector
AI for Parliament
In Progress
Enhancing Parliamentary Services with Generative AI
Digital Society
Public sector
MedCare
In Progress
Detecting novel drug combinations associated with adverse events
Health & Biomedical
SPEED2ZERO
In Progress
Sustainable pathways towards net zero Switzerland
Climate & Environment
VOCIM
In Progress
Directed Imitation During Vocal Learning
Biology
FastPlasmaSim
In Progress
Acceleration of Free-boundary Grad-Shafranov codes using advanced numerical methods
Large-scale Infrastructures
COPE
In Progress
COnstraints on near-term warming ProjEctions via distributionally robust statistical and machine learning
Climate & Environment
MLIBRA
In Progress
Mouse LIpid Brain Atlas
Biology
Robotoddler
In Progress
Autonomous Robotic Assemblies
Engineering
Inter-Detect
In Progress
Quantifying Plant-Pollinator Interactions Using Computer Vision
Climate & Environment
FastPoints2Mesh
In Progress
Data-Driven Inference of Mesh-based Representations for Deformable Objects from Unstructured Point Clouds
Engineering
CHIP
In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Large-scale Infrastructures
MUTIGER
In Progress
MUTations, Interactions and GEne Regulation
Health & Biomedical
Augmented cell therapies
Completed
An artificial intelligence-based system for augmented cell & gene therapies
Health & Biomedical
Private sector
MLfusion
In Progress
Machine Learning for Disruption Prediction in Tokamaks
Large-scale Infrastructures
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