In this poster, we present the techniques we developed to achieve a 100x inference task speedup from sparsity and discuss how many of the learnings could be applied to develop fast sparse networks on CPUs. Numenta Director of ML Architecture Lawrence Spracklen and Software Architect Kevin Hunter presented this poster at the SNN 2021 Workshop.
In this poster, we show that hippocampal modules may dynamically create graphs representing spatial arrangements, and it opens up new ways of understanding how animals make rapid spatial and non-spatial inferences. Numenta Senior Researcher Marcus Lewis presented this poster at the CNS 2021 Meeting.
In this poster, we suggest that incorporating the structural properties of active dendrites and sparse representations can help improve the accuracy of ANNs in a continual learning scenario. Numenta Researcher Karan Grewal presented this poster at the CNS 2021 Meeting.
In this poster, we explore how grid cell-based path integration in a cortical network can enable reliable recognition of visual objects given an arbitrary sequence of inputs. Numenta Visiting Scholar Niels Leadholm presented this poster at the COSYNE 2021 conference.
In this poster, we review how sparsity is deeply ingrained in the brain. We then show how insights from the brain can be applied to practical AI system. Numenta VP Research Subutai Ahmad presented this poster at the NAISys 2020 conference.