Madrid, February 2023
ALMA, the EU funded project that leverages the AML (Algebraic Machine Learning) technology for a new generation of Machine Learning, now features a brand new News section!
We’re thrilled to announce that ALMA, the 4 year R&D project coordinated by eProsima, has now a new section on its website. The News section is dedicated to providing informative and insightful content to help you stay up to date with all the latest developments in the field of Algebraic Machine Learning (AML).
In this space the members of ALMA will share their knowledge and experience in Machine Learning through a variety of blog posts. This content will cover the progress and updates in AML touching a wide range of topics, from language processing and human activity recognition, to communications, explainability and hardware. The goal with this section is to create a platform where anyone interested in AI and ML can find the latest advancements in Algebraic Machine Learning.
AVAILABLE ARTICLES
- Algebraic Machine Learning: a new program for Symbolic AI
- Explainability and Interpretability of AML
- Building hardware architectures for Algebraic Machine Learning
- Making Algebraic Machine Learning node communication easy with AML Integrating Platform
- Learning world models, ethics and culture with Algebraic Machine Learning (AML)
- First steps of Algebraic Machine Learning for Human Activity Recognition
ABOUT ALMA AND AML
The EU-funded project ALMA stands for a new machine learning technique based on the algebraic representation of data, the Algebraic Machine Learning (AML), and aims at developing a new generation of interactive, human-centric machine learning systems.
AML systems reduce bias and prevent discrimination, recall prior learnings while learning new content, facilitate trust and reliability and integrate complex ethical constraints into human-artificial intelligence systems.
ALMA is financed by the European Union
This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 952091.
MORE INFORMATION ABOUT ALMA :
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