Adaptive learning is one characteristic of the human brain that is difficult to understand. But a new generation of artificial intelligence computing is emerging to mimic such characteristic.
This new generation Neuro-computer is the subject of a three-year study by the researchers from the Institute for Theoretical Science (IGI) at Graz University of Technology in collaboration with the European Union research project "Brain-i-Nets" (Novel Brain Inspired Learning Paradigms for Large-Scale Neuronal Networks).
The human brain is made up of tiny networks of billions of nerve cells called neurons. These networks are linked by independent connections called synapses.Synapses are dynamic connections which represents a basis for independent thinking and learning.
This behavior of the synapses is what scientists from Graz want to learn about and implement on their project Neuro-computer.
They want to use this behavior to develop new learning methods for artificial intelligent systems which process information. Their long-term goal is to develop adaptive computers which will potentially revolutionize present computing trends.
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