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Swiss Ai Research Overview Platform

28 Research Topics
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71 Application Fields
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36 Institutions
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UniBE
ML
Unupervised Learning of Interactions from Real Data
 
UZH
DS-KRR-S
Understanding and detecting early psychosis: A network approach
 
UniBE
ML
Trans-omic approach to colorectal cancer: an integrative computational and clinical perspective
 
UNIGE
MAS
DS-KRR-S
TRACES
 
USI
ML
Sustainable Watershed Management Through IoT-Driven Artificial Intelligence
 
UniBE
ML
Sensory predictions in the human brain
 
UNIL
ML
Recurrence-independent inference of rare and non-coding functional mutations in cancer
 
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
 
HSLU
Gov-ELSI
People Analytics at Work. Intensive Case Studies of Pioneering Companies in Germany and Switzerland
 
UZH
ML
Patient Journey Analysis for Medical Knowledge Discovery and Clinical Decision Making
 
UNIGE
ML
Neuronal biomarkers of seizure activity in human epilepsy
 
UniBE
ML
CV
Networking for Immersive Communications (NICO)
 
FHNW
ML
Mitigating of Macro- and Micro-Plastics in Agriculture Soils using Hyperspectral Imaging (MIRACLE)
 
UZH
ML
Melise - Machine Learning Assisted Software Development
 
UNINE
ML
Measuring, Understanding, and Predicting Mutual Fund Performance Worldwide
 
ZHAW
ML
Machine Learning for Demand Response (ML4DR)
 
UZH
NLP
ML
Gov-ELSI
Legal Data Analysis (LDA) - A New Research Frontier for Legal Scholarship (in Switzerland)?
 
ML
Interpretable artificial intelligence for computational biology: extracting new insights from single-cell proteomic data.
 
UniBE
CV
ML
Image data validation for AI systems
 
UZH
ML
Harnessing novel technologies for precision medicine in pediatric diffuse midline glioma
 
HSG
Gov-ELSI
Governance and legal framework for managing artificial intelligence (AI)
 
UNIL
ML
Design and application of CytoxPred. Machine-learning to predict cancer cell lines targeted by small molecules
 
Empa
ML
Deploying machine learning for multi-physical fields simulation of metal additive manufacturing
 
EPFL
ML
Data-driven approximation of haemodynamics by combined reduced order modeling and deep neural networks
 
ETHZ
ML
Combining artificial intelligence and environmental DNA to improve the prediction of marine fish range shifts under global change
 
ETHZ
ML
Applying Artificial Intelligence in Strategic Management
 
UniBE
ML
AI-multi-omics-based Prognostic Stratification of COVID-19 Patients in Acute and Chronic State
 
UniBE
ML
A Machine Learning-Based Approach to Predict Post-Treatment Drinking Behavior in Patients with Alcohol Use Disorder
  Prof.Alexander Pöllinger
  Prof.Athina Tzovara
  Cesare Alippi
  Prof.Florian Weigert
  Prof.Georg von Krogh
Hy Dao
  Prof.Inti Zlobec
  Joshua Jäger
  Prof.Loic Pellissier
  Prof.Mehmet Fatih Yanik
  Prof.Michael Krauthammer
  Pablo Márquez Neila
  Paolo Favaro
  Pasquale Salza
  Prof.Petar Nikolov Mandaliev
  Prof.Peter Kels
  Pierre Megevand
  Prof.Simone Deparis
  Prof.Torsten Braun