EU Project HEAP – Human Exposome Assessment Platform
The project’s ground-breaking novel cloud-AI infrastructure only exchanges learned representations (the feature parameters theta θ, hence the name “feature cloud”) which are anonymous by default (no hassle with “real medical data” – no ethical issues) - the data remain in safe harbours where they are and belong.
#KANDINSKYPatterns our Swiss-Knife for the study of explainable-AI
KANDINSKYPatterns our Swiss Knife for studying explainbale AI are mathematically describable, simple self-contained hence controllable test data sets for the development, validation and training of explainability in artificial intelligence.