The TU Kaiserslautern team is designing an advanced new hardware accelerator for algebraic machine learning.
Read more: Building hardware architectures for Algebraic Machine Learning
ALMA was present at the FIWARE Global Summit 2022. The event, hosted in Gran Canaria, gathered people from all over the world interested in the framework of open source technologies, open standards, data spaces and smart data models.
One of the goals of the ALMA project is to explore the potential advantages of the Algebraic Machine Learning (AML) to test if it is possible to improve the accuracy of human activity recognition methods and the interpretability of the resulting models.
Read more: First steps of Algebraic Machine Learning for Human Activity Recognition
The ALMA project addresses the profound challenges involved in machine learning of ethics and cultures within world models (more extensive information in ALMA Deliverable D5.5 of Work Package 5).
Read more: Learning world models, ethics and culture with Algebraic Machine Learning (AML)