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Description:

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.

AML represents a new paradigm and a totally different approach to AI with interesting properties, including:

  • AML algorithms are robust regarding the statistical properties of the data and are parameter-free. 
  • AML can be implemented in a distributed way, and thus facilitate a new distributed, incremental collaborative learning method by going beyond the dominant off-line and centralized data processing approach.

eProsima and ALMA:

eProsima coordinates the ALMA project and is responsible for the middleware architecture of the distributed learning concept and the integration with Robot Operating System (ROS 2) and Fast DDS.

ALMA financing:

ALMA received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 952091. Horizon 2020 is the biggest EU Research and Innovation programme with almost €80 billion of funding available for the period from 2014 to 2020.

ALMA consortium:

The diversity of the participants in this project, which range from small to multinational companies or universities, guarantees the variety of use cases and are namely: Algebraic.Ai, Champalimaud Foundation, DFKI - German Research Center for Artificial Intelligence, eProsima, FIWAREInria, TU Kaiserslautern, VTT - Technical Research Centre of Finland, UC3M - University Carlos III of Madrid.

      

More Information about ALMA:

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