Quick introduction to neural network applications and smart machines

Neural networks will in relatively very short time revolutionize the whole of mankind development. The English world  uses also the term cognitive computing. This change will be more significant than the entire information technology achievements to date, modern mobile technology including.
For this phenomenon, there are three perspectives through which things can be perceived.

  1. Neural Network theory and algorithmic implementations on the  conventional von Neumann computers and the current Deep Learning implementations. The core of this technological innovation is self-learn software applications.
  2. Neurosynaptic circuit discovery and development to this day, and this technology in the future of
  3. Socio-economic implications of all the above.

Neural networks theory and its evolution

Neural networks mathematical models have been around since the 1950s. One of the first computer-simulated theoretical neural networks have been implemented in the 1980s. In Finland, those developed by Professor Teuvo Kohonen. At that point, computer processing capacity was not sufficient to present those solutions in full force. Thus, this research was started again in 2006 with Google.

At the moment, these neural networks are getting into really spectacular stuff. The most important development is the self-learning systems (also called Deep Learning)

The situation is described in a very clear and easy to understand way in Jeremy Howard Ted Talk:

The wonderful and terrifying implications of computers That can learn (a TED talk)



Neurosynaptic circuits and machines

The most traditional computer equipment and algorithms have achieved a lot, but the game that will blow the bank is neurosynaptic circuit technology. In this development, IBM is clearly ahead of the others, and thus to lead the way. IBM founded with partners Synapse project (may 2008). The following Project leader D Modhan presentation of the situation in the year 2011:

Dr. Dharmendra S. Modha

KEYNOTE: Cognitive Computing: Neuroscience, Super Computing, Nanotechnology


The current state of the  project was presented in IBM Deep Dive seminar:

Synapse Deep Dive 1 06.11.2015


Synapse Deep Dive 2 06/11/2015


Synapse Deep Dive 3 06/11/2015


Synapse Deep Dive 4 06/11/2015


This socio-economic impacts

With all the above there will be a dramatic acceleration effect already in this millennium ongoing technological unemployment. This conversation actually started by MIT researcher in their book: Race Against the Machine

The MIT professor Erik Brynjolfsson and Andrew McAfee researcher’s book:

Race Against the Machine: How the Digital Revolution is Accelerating Innovation, Driving Productivity, and Irreversibly Transforming Employment and the Economy


The following two performances will broaden the perspective:

Chrystalla Freeland: The rise of the new global super-rich


Humans Need Not Apply


Finally, own my texts