We developed a new AI concept that finds applications in various fields.
For industry
quality check
process automation
logistic optimization and automation
autonomous intelligent vehicles
optimization of raw materials and energy
For industry
quality check
process automation
logistic optimization and automation
autonomous intelligent vehicles
optimization of the raw materials and energy
For security
video processing from CCTV
face recognition
people details recognition
mood recognition
Our goal
Our goal is to create a Super Brain, the first AI that thinks like humans.
According to our theory, intelligence is not only the capability to make calculations, reasonings to solve problems or to face up difficult situations.
Our architecture
Our Super Brain architecture is an hybrid technology.
A mix of software and hardware combined together.
Infinity Random
A system that generates and recalls values the more possible random
(not related to physical or mathematical formula of the problem).
Weight Correlation
Connecting layer and modification of the weights based on inputs. The weight
of the networks are not modified only form conventional techniques (like e.g.
back propagation).
We use a true layer that enhances and devalues the processed data
according to the stimuli it gets from the outside. In order to better understand
the concept, we have to think to a human being receiving many inputs/stimuli
from the relationships with other people, or from specific situations that he can
live, many time combination of complex circumstances.
Shocking Intelligence
An algorithm that creates real shocks to the neural networks. Injecting drastic
info/situations, both positive and negative. The algorithm can also destroy
or switch off temporally some areas of the neural network. This action allows
the neural network to approach problems in a different way, improving the
experience with less practice. We force this
behavior. The neural network has to find a different solution to get the goal.
It has to think!
Stepping Walk
This system maintains the weights of the synapses in a defined range,
getting only the proper informations. A real capability to discriminate
which are the most relevant data to get the goal.
Ambient Sensing
A layer that listens to the surrounding environment and gives stimuli in return to the AI.