A new EU project to develop a new generation of interactive, human-centric machine learning systems
ALMA is a new EU funded AI project launched in September 2020 focusing on Algebraic Machine Learning (AML), a new machine learning technology proposing an alternative mechanism to the traditional statistical methods such as neural networks.
The main goal of ALMA is to leverage AML properties to develop a new generation of interactive, human-centric machine learning systems. These systems are expected to reduce bias and prevent discrimination, remember what they know when they are taught something new, facilitate trust and reliability and integrate complex ethical constraints into human–artificial intelligence systems. Furthermore, they are expected to promote distributed, collaborative learning.
The AML concept was first introduced in march 2018 and it is now under heavy development. The ALMA project is already producing results, and a new scientific article has just been released expanding the mathematical basis of AML.
The ALMA consortium is a mix of partners including SMEs, academic institutions and EU wide acting foundations with backgrounds in AI, robotics, and general technology. The members are: Champalimaud Foundation, ALGEBRAIC AI, German Research Center for Artificial Intelligence, Inria, TU Kaiserslautern, FIWARE Foundation, Technical Research Centre of Finland, Carlos III University and eProsima (coordinator).
FET-Open and FET Proactive are now part of the Enhanced European Innovation Council (EIC) Pilot (specifically the Pathfinder), the new home for deep-tech research and innovation in Horizon 2020, the EU funding programme for research and innovation
Photo by Michael Dziedzic on Unsplash
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