AICURA OS
Federated Learning
Allows for data to be used without data leaving the site. It’s an ML setup that trains an algorithm over several decentralized devices.
Data Harmonization
Automatically translates different data structures into one through uniform formats and units. Thus, multimodal data can be used for the development of algorithms.
Quality Control
Automates the process of checking if data sets are appropriate for given data models. Best premise for innovative algorithms.