One of our key projects is a memory system that...Read More
Towards general-purpose machine learning
Algorithms for learning using only local and immediate credit assignment
Recurrent Sparse Memory (RSM) is an unsupervised method for simultaneously learning spatial and sequential structure in partially-observable high Markov order data streams
Our Artificial Hippocampus Algorithm (AHA) can learn to generalize classes from a single instance, while still discriminating between instances of the same class - all without any provided labels
We aim to discover new learning rules, architectures and representations by using computational neuroscience discoveries to guide our research
Project AGI is a privately funded research group based in Melbourne, Australia. We collaborate with academic institutions, companies and individuals on shared research interests. If you’d like to work with us, get in touch!