A machine learning algorithm developed by Cambridge scientists was able to correctly identify in 97 cases out of 100 whether or not an individual had coeliac disease based on their biopsy, new research has shown
Read Full Article
#MachineLearning #CoeliacDisease #HealthTech #MedicalResearch #AIInnovation
Read Full Article
#MachineLearning #CoeliacDisease #HealthTech #MedicalResearch #AIInnovation
University of Cambridge
Using AI to diagnose coeliac disease
Research shows that AI is as good as pathologists at diagnosing coeliac disease
🏆3
Researchers have programmed infomorphic neurons that learn in a self-organized way and extract the necessary information from their immediate environment in the network.
Read Full Article
#InfomorphicNeurons #NeuralNetworks #MachineLearning #ArtificialIntelligence #SelfOrganization
Read Full Article
#InfomorphicNeurons #NeuralNetworks #MachineLearning #ArtificialIntelligence #SelfOrganization
Max-Planck-Gesellschaft
Artificial neurons organize themselves
Novel artificial neurons learn independently and are more strongly modeled on their biological counterparts. A team of researchers from the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at the University of Göttingen and the Max Planck…