⚗️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 [e-mail] 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 [e-mail]

Andrea Cossu Team Lead Continual Learning, Sequence Learning [e-mail]

Keiland Cooper Maintainer Neuroscience, Neuroscience-inspired AI, Continual Learning [e-mail]

Antonio Carta Maintainer Continual Learning, Distributed Learning [e-mail]

Jeremy Forest Maintainer Neuroscience, Neuroscience-inspired AI, Continual Learning [e-mail]