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Swiss Ai Research Overview Platform

28 Research Topics
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71 Application Fields
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34 Institutions
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ETHZ
CV
Robotics
HMI
Virtual Reality Extension for Digital Twins of Machine Tools
 
UniBE
ML
Unupervised Learning of Interactions from Real Data
 
UZH
Robotics
Understanding Pollen Tube Growth Inspires the Design of Autonomous Soft Robots
 
CV
NLP
HMI
TRaining in Secure and PrivAcy-preserving biometricS
 
UNINE
NLP
ML
Storytelling and first impressions in face-to-face and algorithm-powered digital interviews
 
UNIL
NLP
Gov-ELSI
PONs - People-Opinion Networks: A study of polarization in word embeddings and social networks in Switzerland and Southern Africa.
 
ETHZ
ML
PHENOFLOW: A multifaceted workflow of high-throughput field phenotyping for improved prediction of wheat performance in future climate scenarios based on assessment of dynamic changes of phenology
 
UniBE
Robotics
HMI
Optimize Motor Learning to Improve Neurorehabilitation
 
HSG
NLP
ML
Next Generation of Digital Support for Fostering Students’ Academic Writing Skills: A Learning Support System based on Machine Learning (ML)
 
USI
ML
ML2 - Multilevel and Domain Decomposition Methods for Machine Learning
 
BFH
NLP
ML
Mitigating Diversity Biases of AI in the Labor Market
 
UZH
ML
Melise - Machine Learning Assisted Software Development
 
EPFL
CV
ML
Gov-ELSI
Measuring and Improving Explainability for AI-based Face Recognition
 
CSEM
Machine learning for indoor localization
 
ETHZ
CV
ML
Learning-based 3D Infant Face and Head Model for Medical Applications
 
ETHZ
CV
ML
Learning Physics-Based Optimal Design of Cardiovascular MRI
 
EPFL
ML
Gov-ELSI
Learning for Safety in Data-driven Control
 
EPFL
ML
Learning and Inference via Information Measures
 
UniBE
CV
ML
Image data validation for AI systems
 
UniBE
CV
ML
Eye Labeling for Medical Image Data
 
ZHAW
NLP
End-to-End Low-Resource Speech Translation for Swiss German Dialects (E2E_SG)
 
EPFL
ML
NLP
Distributed Training of Transformers - Scalable, Private, Robust and Personalized
 
inspire
ML
Digital twin enabled transfer learning for thermal error compensation of machine tools
 
UNIGE
CV
ML
Digital Phenotyping of Autism Spectrum Disorders in Children
 
UNIL
ML
Design and application of CytoxPred. Machine-learning to predict cancer cell lines targeted by small molecules
 
Empa
ML
Data-driven predictive control as a cloud service for efficient building operation
 
ETHZ
ML
Advanced Learning Methods On Dedicated nano-Devices (ALMOND)
 
EPFL
CV
ML
Accurate Ground-based and In-orbit Tracking for Space Debris Capture
 
UniBE
CV
A new interactive mobile 3D VIRTUal reality training to improve Activities of Daily Living in PARKinson disease: the VIRTUADL-PARK project
 
UniBE
CV
ML
A Learning Approach to Image Restoration and Motion Estimation without Ground Truth Data
1
Achim Walter
Adrian Bangerter
Andreas Kunz
Barbara Solenthaler
Davide Morselli
Felix Bünning
Harald Gall
Josef Mayr
  Prof.Laura Marchal-Crespo
Marie Schaer
Mark Cieliebak
Martin Jaggi
  Prof.Maryam Kamgarpour
  Prof.Mascha Kurpicz-Briki
Mathieu Luisier
Mathieu Salzmann
Michael C. Gastpar
  Pablo Márquez Neila
  Paolo Favaro
  Pasquale Salza
Philippe Dallemagne
  Prof.Raphael Sznitman
Rolf Krause
Sabine Seufert
Sebastian Kozerke
  Prof.Tim Vanbellingen
  Prof.Touradj Ebrahimi
  Dr.Ueli Grossniklaus
Vincent Zoete
1