Continuous online sequence learning with an unsupervised neural network model

Continuous online sequence learning with an unsupervised neural network model Cui et al., Neural Computation, 2016 Yesterday we looked at the biological inspirations for the Hierarchical Temporal Memory (HTM) neural network model. Today’s paper demonstrates more of the inner workings, and shows how well HTM networks perform on online sequence learning tasks as compared to ... Continue Reading

Why neurons have thousands of synapses, a theory of sequence memory in neocortex

Why neurons have thousands of synapses, a theory of sequence memory in neocortex Hawkins & Ahmad, Front. Neural Circuits 2016 It all began with a fascinating lunchtime conversation with Martin Thompson (@mjpt777), who mentioned to me a thought-provoking video he’d seen online from Jeff Hawkins regarding models of behaviour in the brain. A few days ... Continue Reading

On understanding software agility – a social complexity point of view

On Understanding Software Agility - A Social Complexity Point Of View Joseph Pelrine, E:CO 2011 With the background understanding of the Cynefin framework under our belts, today we turn our attention to the paper recommended by Linda Rising in her GOTO Copenhagen conference keynote earlier this month: “On understanding software agility - a social complexity ... Continue Reading

BadNets: Identifying vulnerabilities in the machine learning model supply chain

BadNets: Identifying vulnerabilities in the machine learning model supply chain Gu et al., ArXiv 2017 Yesterday we looked at the traditional software packages supply chain. In BadNets, Gu et al., explore the machine learning model supply chain. They demonstrate two attack vectors: (i) if model training is outsourced, then it’s possible for a hard to ... Continue Reading