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[The BAB project (Big Artificial Brain)].
Bulletin De L'Academie Nationale De Medecine
|March 24, 2015
Summary
Researchers developed a Big Artificial Brain (BAB) using 1 million interconnected neurons, mimicking cerebral functions without replicating individual neurons. This novel approach offers promising applications by combining inputs, processing, and outputs.
Area of Science:
- Neuroscience
- Artificial Intelligence
- Computer Engineering
Background:
- Current neuroscience struggles to replicate complex individual neuron functions.
- There is a need for artificial systems that can reproduce cerebral functions.
- Previous artificial brain models faced technological limitations.
Purpose of the Study:
- To create a Big Artificial Brain (BAB) capable of reproducing cerebral functions.
- To develop a scalable artificial neural network architecture.
- To explore novel approaches in artificial intelligence and neuroscience.
Main Methods:
- Utilized ZISC and NeuroMem neuronal chips for construction.
- Implemented a parallel architecture with 1 million interconnected neurons.
- Designed a system with integrated inputs, a "mentipulator" black box, and expressive outputs.
Main Results:
- Successfully built a Big Artificial Brain (BAB) with 1 million neurons.
- Achieved transversal and vertical interconnection of neurons.
- Established a parallel architecture mirroring the human cerebral cortex.
Conclusions:
- The Big Artificial Brain (BAB) represents a significant advancement in artificial intelligence.
- The approach bypasses the need to replicate complex individual neuron properties.
- Potential applications are extensive and highly promising across various fields.
