Cerenaut

Understanding animal intelligence
Improving machine intelligence

FEATURED RESEARCH

Algorithms for learning using only local and immediate credit assignment

High-order partially-observable sequences

Recurrent Sparse Memory (RSM) is an unsupervised method for simultaneously learning spatial and sequential structure in partially-observable high Markov order data streams

Fast (One-shot) episodic learning

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

Research Strategy

We aim to discover new learning rules, architectures and representations from neuroscience and psychology - and contribute insights back to these fields.

RECENT ARTICLES

Featured Articles

About Us

Cerenaut (formerly ProjectAGI) is an independent research group that undertakes fundamental research at the intersection of AI, Neuroscience and Psychology. We’re based in Australia. 

Our name reflects humanity’s journey towards higher cognition and intelligence: cere = of the brain, naut = journey

We collaborate with academic institutions, companies and individuals, on topics of shared interest. If you’d like to work with us, get in touch! We co-supervise student research projects and engage with the research community here in Australia.