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Full-Text Articles in Physical Sciences and Mathematics
Hardware Acceleration Of Inference Computing: The Numenta Htm Algorithm, Dan Hammerstrom
Hardware Acceleration Of Inference Computing: The Numenta Htm Algorithm, Dan Hammerstrom
Systems Science Friday Noon Seminar Series
In this presentation I will describe the latest version of the Numenta HTM Cortical Learning Algorithm and why it is interesting for doing research into radical new computer architectures. Then I will discuss the hardware acceleration research we are doing, and briefly look at some preliminary applications development.
On The Effect Of Criticality And Topology On Learning In Random Boolean Networks, Alireza Goudarzi
On The Effect Of Criticality And Topology On Learning In Random Boolean Networks, Alireza Goudarzi
Systems Science Friday Noon Seminar Series
Random Boolean networks (RBN) are discrete dynamical systems composed of N automata with a binary state, each of which interacts with other automata in the network. RBNs were originally introduced as simplified models of gene regulation. In this presentation, I will present recent work done conjointly with Natali Gulbahce (UCSF), Thimo Rohlf (MPI, CNRS), and Christof Teuscher (PSU). We extend the study of learning in feedforward Boolean networks to random Boolean networks (RBNs) and systematically explore the relationship between the learning capability, the network topology, the system size N, the training sample T, and the complexity of the computational task. …