Why Neural Networks are Smarter Than Usual Computers

Why Neural Networks are Smarter Than Usual Computers
Sputnik/ Peter AllenTech10:41 06.10.2017(updated 12:40 06.10.2017) Get short URL

The Neuroinformatics-2017 conference is being held from October 2-6. RIA Novosti interviewed one of the main conference participants, Alexander Gorban, DSc in Physics and Mathematics and an expert in the field of neural networks.

The first such conference was held at the initiative of three institutions: the National Research Nuclear University MEPhI, the Kogan Research Institute for Neurocybernetics and the Institute of Computational Modelling and the Siberian Branch of the Russian Academy of Sciences (RAS). This year marks the 19th anniversary of the conference.

Alexander Gorban: In the near future they will be used for predictive activity, optimization and real-time control. But I cannot and do not want to predict the long-term future. Some possibilities are a bit frightening.

For example, after passing a certain milestone of neural network development, we could become way too dependent on them. And in the event of a force majeure (mind you, I’m not talking about networks spiraling out of control; this exact problem can easily be dealt with), abandoning neuronal nets will practically turn us into cavemen. We are now discussing this and many other issues at the Neuroinformatics-2017 conference.