ALMA AI Work Package Overviews

Work Package 2: Fundamentals of Interactive Algebraic Machine Learning
- Algebraic Machine Learning: a new program for Symbolic AI by Champalimaud Research, Champalimaud Foundation & Algebraic AI
Work Package 3: AML Description language
- Building hardware architectures for Algebraic Machine Learning - Technische Universität Kaiserslautern (TUK)
Work Package 4: Human AML Interaction
- Explainability and Interpretability of AML - Inria
Work Package 5: Learning world models, ethics and culture with AML
- Learning world models, ethics and culture with Algebraic Machine Learning (AML) - VTT
- First steps of Algebraic Machine Learning for Human Activity Recognition - DFKI
Work Package 6 : System and Tools
- Making Algebraic Machine Learning node communication easy with AML Integrating Platform - eProsima
- AML-IP Workload Distribution Scenario - eProsima