François Blayo, chief scientist officer and co-founder of NéoInstinct
“Our motivation to develop frugal and fast artificial intelligence is to not consume phenomenal energy to solve solutions of complex problems.”
Our motivation for developing frugal and fast artificial intelligence is to not consume phenomenal energy to solve solutions of complex problems. Indeed, being inspired by biology does not require a maximum of examples, and we can now understand and obtain results without mobilizing resources that consume phenomenal amounts of energy.
The genesis of InspireMe was to prepare for the “post-artificial intelligence”. That is to say, to first find a technology and applications, before returning to the fundamentals where we dive into biology and try to understand what the founding principles are that make a biological system process information in an efficient and frugal way. Based on this, we have selected a very important principle which is the principle of emergence and self-organization.
InspireMe learns from the principle of a self-organization algorithm in which we make sure that the system can adapt to different types of data. Thanks to unsupervised learning or being given a solution, the system organizes itself with the given data and once that is organized, we start giving information.
Maps are a reflection of self-organization, they reduce the size of the data. This makes it possible to better capture information so as to finally have a richer representation and allows us to better understand how the data is distributed in dimensional space and to therefore be able to draw conclusions and act more pertinently.
We are currently looking for autonomy, in the sense that we are doing everything we can to make our system autonomous and intelligent. In a few years we aspire to have a fully autonomous product that will no longer require human intervention.
