In this post we will briefly outline our understanding of human-centered and Explainable AI (xAI) and the differences and opportunities we see. We will then present our preliminary work on an algebraic machine learning approach as an example to combine both.
eProsima is pleased to announce the ongoing work on the AML Integrating Platform (AML-IP) under the scope of the ALMA project.
The TU Kaiserslautern team is designing an advanced new hardware accelerator for algebraic machine learning.
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).
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.
The ALMA project leverages AML properties to develop a new generation of interactive, human-centered machine learning systems.
Plaza de la Encina 10-11, Núcleo 4, 2ª Pl.
28760 Tres cantos - Madrid (España)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952091.
