⚗️Lab
A virtual distributed laboratory for Continual Learning
ContinualAI Lab is a collaborative, distributed team and observatory within ContinualAI with the goal of supporting the development of open source projects and tools that can make the life of a CL researcher easier.
Mission
ContinualAI Lab works mostly at a meta research level. Its core mission is to support the development of open source projects and tools that can make the life of a CL researcher easier. In particular, we would like to talk and propose practical solutions to the following questions among others:
How can we help young researchers and enthustiasts in this area learn faster and be better supported by the community?
How can we organize research in continual learning to make it easier to anyone find the right piece of information?
How can we help continual learning researchers share more resources (insights, code and knowledge) and collaborate more together?
How can we make continual learning research more accessible to anyone?
Projects
At the moment CLAI Lab is maintaining the following collaborative projects: ContinualAI Avalanche, ContinualAI Events, ContinualAI Course, ContinualAI Wiki, ContinualAI Papers, ContinualAI Forum, ContinualAI Colab and the ContinualAI Publication.
We are always looking for new CLAI Lab members! Write us a message on slack or to vincenzo.lomonaco@continualai.org if you want to join us!
People
CLAI Lab is composed by the following ContinualAI members:
Vincenzo Lomonaco Director Artificial Intelligence, Deep Learning, Continual Learning vincenzo.lomonaco@continualai.org
Andrea Cossu Team Lead Continual Learning, Sequence Learning andrea.cossu@continualai.org
Keiland Cooper Maintainer Neuroscience, Neuroscience-inspired AI, Continual Learning keiland.cooper@continualai.org
Antonio Carta Maintainer Continual Learning, Distributed Learning antonio.carta@di.unipi.it
Jeremy Forest Maintainer Neuroscience, Neuroscience-inspired AI, Continual Learning jeremy.forest@continualai.org
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