Growing Adaptive and Self-Assembling Machines

Despite all their recent advances, current AI methods are often still brittle and fail when confronted with unexpected situations. By incorporating collective intelligence ideas, we have recently been able to create neural networks that self-organize their weights for fast adaptation, machines that can recognize their own shape, and machines that self-assemble through local interactions alone. Additionally, in this talk I will present initial results from my GROW-AI ERC project, where we are developing neural networks that grow through a developmental process that mirrors key properties of embryonic development in biological organisms. The talk concludes with future research opportunities and challenges that we need to address to best capitalize on the same ideas that allowed biological intelligence to strive.

Online

Lifelong Learning