Artificial intelligence, inspired by nature: The SpiNNaker2 supercomputer

The innovator: Christian Mayr – half scientist, half engineer

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Christian Mayr is the Professor in charge of the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics at the Technische Universität Dresden. He gives ordinary lectures, reads papers and organizes academic matters. But he is also extraordinary. That is because he sees himself as an intermediary between the ivory tower of the university world and the cool runnings of industry. His ideal: To transpose scientifically excellent ideas into excellent engineering work.

Sometimes, interdisciplinary ideas like these come to him even in his limited spare time, when he – preferably in the company of his young son – tinkers on circuits, microcontrollers and switches for the house he has just completed in the Dresden suburb of Radebeul.

The innovation: A supercomputer that simulates the work of the human brain

One of these ideas, “SpiNNaker2,” forms part of the Human Brain Project and represents a simulation model of the human brain. So to begin with, it is actually a chip housing accelerators that can simulate neurons and synapses. One could even say: A chip as an artificial intelligence-network inspired by nature.

And based on this one chip, Mayr and his team are building a machine that is 70,000 chips strong and spans 16 server racks. That makes it a pretty big thing, both mentally and spatially.

After 7 years of pre-development, this supercomputer will be “bolted together” by 2021 at the latest, as Mayr laconically states.

The most fascinating part about SpiNNaker2: It makes two innovative leaps in one go – in terms of energy efficiency and the speed of information processing.

By way of background: And whether it’s the latest versions of autonomous driving, for example, or applications in robotics: In Mayr’s estimation, both consume far too much energy – roughly 100 times as much as they should and could. This is because both innovations involve far too many unnecessary calculations (which in the field are referred to as “redundancies”).

That is what makes it helpful to employ the human brain itself as a model, since it works according to the following principle:
A “communication” is always preceded by information-processing stages.

During these stages, decisions are made as to which information is relevant to a problem, and which information will be actually transmitted – and the energy consumed reflects this. The factor that determines how much energy is consumed is thus the process that occurs prior to what we call “communication.”

And this is precisely the principle that Christian Mayr, who describes himself as “heavily inspired by biology,” has incorporated into the entire SpiNNaker2 system. That is what makes this supercomputer – which merges artificial intelligence with the biology of the brain – clearly superior to “classic AI.” It’s nearly as intelligent as a human brain.

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