04 October 2016

Dynamical Systems Internet based on Feynman Machines

I wish celebrating my 100th post on this blog with a short piece about this amazing paper:

Feynman Machine: The Universal Dynamical Systems Computer
https://arxiv.org/abs/1609.03971

Paper proposes a simple but very innovative model which draws on recent findings in Neuroscience and the Applied Mathematics of  Dynamical Systems. One of my dreams, using the advances on Neuroscience and  Applied Mathematics to re-define the way we see the networks.

as mentioned by the paper, the Feynman Machine is a Universal Computer for Dynamical Systems, analogous to the Turing Machine for symbolic computing, but with several important differences capable of bringing to radically new architectures for machine intelligence.

Unlike the Turing Machine (or any digital computer), the Feynman Machine is not “programmed” in the traditional sense we are used to. The structure of the network, the choice and configuration of regions, and connections to its external world together dictate the functionality and capability of the machine, and the actual performance is achieved by online learning of the structure in the world. Like for the nervous system of living being.

Now imagine extending this paradigm by interconnecting each other Feynman Machines (not digital computer as we have today in Internet) and you'll get a sort of Dynamical Systems Internet based on Feynman Machines. A radically new ways of looking at the Network.

As a matter of fact, the combination of SDN and NFV are creating new "complexity" dimensions that, in principle, could allow this leap, thus potentially opening new frontier for Artificially Intelligent Networks.

This will be part of my talk at IEEE CloudNet on 5th October in Pisa.