By Punarjay Chakravarty In the past year or so, there has been a spate of high-profile pronouncements by respected scientists and engineers, cautioning the world about the potential ill-effects of AI. Stephen Hawking, one of the foremost experts on theoretical and astro physics told the BBC that “The development of… Read More »The Real Risks of AI
I recently published a post on the question of classifying ‘no input’ or missing data. There was a comprehensive reply by Fergal Byrne in a thread on the Nupic Theory mailing list. I am re-posting it here (below) as it provides a valuable perspective of the discussion in the context of human cortical function. Jan 24th… Read More »A response to “when is missing data a valid state?”
I really enjoyed reading this article Why can’t the world’s greatest minds solve the mystery of consciousness? published recently in the Guardian. It’s an engaging re-exploration of the contemporary discourse on the classic mind-body dilemma. One view is that the ‘hard problem’ of consciousness is an illusion. There is no separation between… Read More »Consciousness and AI
If you’re looking for a formal and precise description of the current HTM/CLA algorithm, then this blog [1, 2] by Fergal Byrne may be of interest. Our experience is that while pseudocode is a good way of describing an algorithm, equations can often be more succinct and specific. The CLA… Read More »Mathematics of HTM by Fergal Byrne
By Gideon Kowadlo, David Rawlinson and Alan Zhang Can you hear silence or see pitch black? Should we classify no input as a valid state or ignore it? To my knowledge, the machine learning and statistics literature mainly regards an absence of input as missing data. There are several ways… Read More »When is missing data a valid state?
DeepMind, based on a deep learning architecture made a big impact in the tech industry. Deep learning continues to gain traction in the machine learning community and in the mainstream, both in terms of public awareness of its capabilities as well as through commercialisation. This article by Simon Winder provides… Read More »Deep learning, a history in context
TL;DR: An SDR is a Sparse Distributed Representation, described below SDRs are biologically plausible data structures SDRs have powerful properties SDRs have received a lot of attention recently There are a few really great new resources on the topic: Presentation by Subutai Ahmad of Numenta Older introductory presentation by Jeff Hawkins Excellent… Read More »Sparse Distributed Representations (SDRs)
This post asks some questions about the agency of hierarchical action selection. We assume various pieces of HTM / MPF canon, such as a cortical hierarchy. Agency The concept of agency has various meanings in psychology, neuroscience, artificial intelligence and philosophy. The common element is having control over a system, with… Read More »Agency and Hierarchical Action Selection
This post is about a fantastic new paper by Michael R. Ferrier, titled: Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function The paper was posted to the NUPIC mailing list and can be found via: http://numenta.org/community-content.html The paper itself… Read More »Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function
It’s exciting to see growing interest and participation in the AGI community. This is another brief post to share two examples. In this case, they both build on one approach to AGI, and that is HTM. FXAI – Explorations Into Computational Intelligence A blog that is pretty well described by… Read More »Recent HTM projects