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Swiss Ai Research Overview Platform

 
EPFL
AI
Controlling, planning, and learning movements in robots and animals
 
UniBE
AI
Modeling Meaning in Text Data for the Social Sciences
 
UZH
AI
Harnessing novel technologies for precision medicine in pediatric diffuse midline glioma
 
SIPBB
Radar Based Pressure Ulcer Prevention Using AI
 
ETHZ
AI
Sustaining Knowledge Creation in Online Communities: Enabling, Creating, and Maintaining
 
EPFL
AI
Graph Neural Networks for Explainable Artificial Intelligence
 
BFH
AI
Automated battery database
 
UNIGE
AI
Turning noise into data: a discovery strategy for new weakly-interacting physics
 
UZH
AI
Enhanced Code Review: Using Context and Learning from Review Experience
 
BFH
AI
Towards Burnout Risk Detection using Word Embeddings
 
BFH
AI
A future that works: Cobotics, digital skills and the re-humanization of the workplace (CODIMAN)
 
OST
Automatic condition monitoring and predictive maintenance for power lines using automated drones and artificial intelligence
 
ZHAW
AI
Predictive chance modelling: Exploration of a new approach to professional decision-making in child protection
 
EPFL
AI
Narratives from the long tail: transforming access to audiovisual archives
 
SUPSI
AI
A smart system improving hospital care of bedridden patients enhancing their speech intelligibility by exploiting digital audio forensic techniques.
 
CSEM
AI
SPG-Robot
 
CHUV
AI
Medical image quality: Model observers of radiologists performing a search task and AI algorithms that include the anatomical texture in low-contrast CT diagnostics
 
ZHAW
AI
Machine Learning for Demand Response (ML4DR)
Auke Jan Ijspeert
Christian Müller
Adriano Aguzzi
Stefan Pauli
Yash Raj Shrestha
  Prof.Johan Auwerx
Michael Hess
  Prof.Steven Randolph Schramm
Alberto Bacchelli
  Prof.Mascha Kurpicz-Briki
  Sylvain Calinon
  Prof.Guido Schuster
  David Lätsch
Sarah Kenderdine
  Alessandro Trivilini
Matthias Höchemer
Sabine Schmidt Kobbe
Aksornchan Chaianong