In this poster, we present Complementary Sparsity, a structured weight sparsity technique that provides a foundation for the efficient exploitation of Activation Sparsity and Sparse-Sparse DNNs. Lawrence Spracklen and Subutai Ahmad presented this poster at the Bay Area Efficient ML Workshop on March 31, 2022.
Numenta •
Lawrence Spracklen, Kevin Hunter and Subutai Ahmad 
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 •
Karan Grewal, Jeremy Forest and Subutai Ahmad 
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.
Numenta •
Lawrence Spracklen, Kevin Hunter and Subutai Ahmad 
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.
Marcus Lewis • Senior Researcher 
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.
Numenta •
Karan Grewal, Jeremy Forest and Subutai Ahmad 
