Busy on the road today with clients so not checked much but by look of SP probs not a bad thing I guess.
Anyway, just surfing some keywords and hadn't see this paper from mid last year.
Nothing special per se on Akida however has a nice little comparison table that was interesting.
Obviously with 2.0 we now also have a few more strings so to speak.
One author from Intel and another from BMW research.
Original paper
HERE
Neuromorphic computing hardware and neural
architectures forrobotics
Yulia Sandamirskaya1
*, Mohsen Kaboli2,3
, Jorg Conradt4
, Tansu Celikel5
Neuromorphic Computing Lab, Intel, Munich, Germany. 2
BMW Group, Department of Research, New Technol-
ogies and Innovation, Munich, Germany. 3
Donders Institute for Brain, Cognition, and Behavior, Radboud University,
Nijmegen, Netherlands. 4
Kungliga Tekniska Högskolan (KTH), School of Electrical Engineering and Computer
Science, Stockholm, Sweden. 5Georgia Institute of Technology, Atlanta, GA, USA.
Neuromorphic hardware enables fast and power-efficient neural network–based artificial intelligence that is well
suited to solving robotic tasks. Neuromorphic algorithms can be further developed following neural computing
principles and neural network architectures inspired by biological neural systems. In this Viewpoint, we provide
an overview of recent insights from neuroscience that could enhance signal processing in artificial neural networks
on chip and unlock innovative applications in robotics and autonomous intelligent systems. These insights
uncover computing principles, primitives, and algorithms on different levels of abstraction and call for more
research into the basis of neural computation and neuronally inspired computing hardware
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