Just on the issue of terminology, there is some ambiguity about how the terms "neural network" and "neuromorphic" are used.
Akida has been described as a spiking neural network and as being neuromorphic.
The analog crowd are possessive of the term "neuromorphic", and "neural network " is used to describe ML models, having evolved from software CNNs.
https://www.geeksforgeeks.org/deep-learning/neural-networks-a-beginners-guide
Neural networks are machine learning models that mimic the complex functions of the human brain. These models consist of interconnected nodes or neurons that process data, learn patterns and enable tasks such as pattern recognition and decision-making.
I don't believe we should vacate the neuromorphic field entirely for the analogists, so I think we should plant our flag on our own specific hill and, defend it to the last like Custard's last stand.
Akida has evolved from its original 1-bit digital embodiment to a multi-bit digital architecture., so it is now a quantized digital neuromorphic processor, QDNP, an accurate, if not particularly prepossessing acronym.
