Security News > 2020 > July > Researchers develop new learning algorithm to boost AI efficiency

A working group led by two computer scientists Wolfgang Maass and Robert Legenstein of TU Graz has adopted this principle in the development of the new machine learning algorithm e-prop.

Learning is a particular challenge for such less active networks, since it takes longer observations to determine which neuron connections improve network performance.

E-prop, on the other hand, works completely online and does not require separate memory even in real operation - thus making learning much more energy efficient.

Maass and Legenstein hope that e-prop will drive the development of a new generation of mobile learning computing systems that no longer need to be programmed but learn according to the model of the human brain and thus adapt to constantly changing requirements.

The goal is to no longer have these computing systems learn energy-intensively exclusively via a cloud, but to efficiently integrate the greater part of the learning ability into mobile hardware components and thus save energy.

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