Fire up your type-writer
@Dhm, you may have to send an email to another author. The author says "only a few experimental chips such as SpiNNaker 1 and
SpiNNaker 2, a 10 million core processor platform optimized for the simulation of spiking neural networks, exist."
This good part is that author also suggests "the future killer application for neuromorphic may not be in exascale systems but more in low-power oriented edge compute". "Killer" in this context is very good (as in "awesome"), not very bad (as in "murder").
He-he-he!
Extract
5. Neuromorphic Processors. It is possible to design artificial spiking neural networks or more generally, electronic components, in a manner that takes inspiration from the architecture of the human brain.
Carver Mead first theorized about neuromorphic processors in the 80s. But still today, only a few experimental chips such as SpiNNaker 1 and
SpiNNaker 2, a 10 million core processor platform optimized for the simulation of spiking neural networks, exist.
Neuromorphic computing seems very promising, but continues to require breakthroughs in model training, ML dev ops tools, and other technologies. We also need hardware that fits different use cases: wafer size chipset will not work for low-power oriented applications. Although neuromorphic research has mostly been targeted at exascale systems, it may make sense to concentrate as much energy on applications like ultra-low power keyword spotting, event detection for autonomous vehicle, or other data streaming processing use cases. Progress could come more quickly, and breakthrough concepts could be scaled up. The future killer application for neuromorphic may not be in exascale systems but more in low-power oriented edge compute.
New architectures hold promise for low power, distributed AI.
semiengineering.com