We help you find the perfect fit.

Swiss Ai Research Overview Platform

28 Research Topics
Reset all filters
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Filter
Reset all filters
Select all Unselect all
Close Show projects Back
Show all filters
71 Application Fields
Reset all filters
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Filter
Reset all filters
Select all Unselect all
Close Show projects Back
Show all filters
34 Institutions
Reset all filters
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Filter
Reset all filters
Select all Unselect all
Close Show projects Back
Show all filters
 
UZH
NLP
ML
Gov-ELSI
Legal Data Analysis (LDA) - A New Research Frontier for Legal Scholarship (in Switzerland)?
 
ETHZ
CV
ML
Learning-based 3D Infant Face and Head Model for Medical Applications
 
ZHAW
NLP
ML
HMI
Learning to Interact with Humans by Lifelong Interaction with Humans
 
ETHZ
CV
ML
Learning Physics-Based Optimal Design of Cardiovascular MRI
 
EPFL
ML
Gov-ELSI
Learning for Safety in Data-driven Control
 
Idiap
ML
Robotics
HMI
Learning by Switching Roles in Physical Human-Robot Collaboration
 
EPFL
ML
Learning and Inference via Information Measures
 
UZH
Gov-ELSI
Large-Scale Human-Machine Systems for Data Science
 
UNIL
CV
ML
Gov-ELSI
La communauté des scribes de Qumrân: à la recherche des mains de scribes des manuscrits de Qumrân
 
ML
Interpretable artificial intelligence for computational biology: extracting new insights from single-cell proteomic data.
 
EPFL
NLP
ML
Integrated multi-scale analysis of translation: single-molecules, omics and computation
 
FHNW
ML
Impulse: Continuous seaming process monitoring with Machine Learning
 
UniBE
ML
Improving Interpretability. Philosophy of Science Perspectives on Machine Learning
 
UniBE
CV
ML
Image data validation for AI systems
 
EPFL
Gov-ELSI
HYBRID MINDS: Experiential, Ethical and Legal Exploration of Intelligent Neuroprostheses
 
USI
ML
HORD GNN: Higher-Order Relations and Dynamics in Graph Neural Networks
 
ZHAW
ML
GraphQueryML: Using Machine Learning to Optimize Queries in Graph Databases
 
EPFL
ML
Graph Neural Networks for Explainable Artificial Intelligence
 
FHNW
ML
Flexible PV Productivity Management with AutoML
 
ETHZ
Robotics
Flexible Electronics meets µ-Robotics: Route for Augmented Bio-Intelligent Medical Treatments
 
UniBE
CV
ML
Eye Labeling for Medical Image Data
 
CSEM
ML
Exploring full content of optical signals to enhance cardiac arrhythmia screening
 
CSEM
ML
Exploring full content of optical signals to enhance cardiac arrhythmia screening
 
ZHAW
ML
Enzymatic Construction of DNA-Encoded Chemical Libraries (EnzyDEL)
 
UZH
ML
NLP
Enhanced Code Review: Using Context and Learning from Review Experience
 
Empa
ML
Energy and comfort optimization in living and working environments through a user-centered predictive control
 
UniBE
ML
NLP
Emotion in the loop: a step towards a comprehensive closed-loop deep brain stimulation in Parkinson's disease
 
EPFL
ML
PSO
DOPE - Deep Optimization
 
EPFL
ML
NLP
Distributed Training of Transformers - Scalable, Private, Robust and Personalized
 
EPFL
ML
Distributed optical fibre sensors optimised using machine learning
 
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
 
SUPSI
ML
Detecting Troll Activity in Online Social Networks
 
UniBE
CV
ML
Design and Evaluation of a Vehicle Hypoaglycemia Warning System in Diabetes (HEADWIND Project)
 
UNIL
ML
Design and application of CytoxPred. Machine-learning to predict cancer cell lines targeted by small molecules
 
UZH
ML
Derivation of pediatric sepsis phenotypes using machine learning applied to clinical, functional and genomic data from the swiss pediatric sepsis study
1 2 3 4
  Pablo Márquez Neila
  Paolo Favaro
  Pascal Fua
  Pasquale Salza
Paul Krack
Paulina Grnarova
  Prof.Petar Nikolov Mandaliev
  Prof.Peter Kels
Philipp Azzarello
Philippe Dallemagne
Phuong Do Lan
  Pierre Megevand
  Prof.Pierre Vandergheynst
Pierre-François Rüedi
Pieter van Mierlo
Rachid Guerraoui
Ralf Gerdes
  Prof.Raphael Sznitman
Rebecca Buller
Prof.Roland Wiest
Rolf Krause
Ruud van Heeswijk
Sabine Seufert
Sarah Kenderdine
Sebastian Kozerke
Silvia Giordano
  Simon Montfort
  Prof.Simone Deparis
  Prof.Steven Randolph Schramm
  Dr.Stéphane Rullac
  Suneetha Sebastian
  Sylvain Calinon
  Thomas Mayer
Thomas Valentin
Tilmann Altwicker
Tobias Delbruck
  Prof.Tobias Nef
Tomasz Orpiszewski
  Prof.Torsten Braun
  Ulrich Fiedler
  Valerio Zerbi
Vincent Zoete
  Prof.Volkan Cevher
Xin Wu
1 2