I think this one's available but probably not suitable as you have to be in China to use it.
View attachment 24904
Blind Freddie recons if I tried to use that I would be between a rock and a hard place.
There was a time when the failure to mention Brainchip or AKIDA in a paper would concern me but now Brainchip is partnered with Intel I can see this as what it is a blatant attempt to get a job at Intel after graduation.
In any event the Abstract is the interesting part and anyone reading this paper with true industry purpose would also read the references and I know a number of the cited papers reference AKIDA in any event:
Abstract
The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the recent increasing need for the autonomy of machines in the real world, e.g., self-driving vehicles, drones, and collaborative robots, exploitation of deep neural networks in those applications has been actively investigated. In those applications, energy and computational efficiencies are especially important because of the need for real-time responses and the limited energy supply. A promising solution to these previously infeasible applications has recently been given by biologically plausible spiking neural networks. Spiking neural networks aim to bridge the gap between neuroscience and machine learning, using biologically realistic models of neurons to carry out the computation. Due to their functional similarity to the biological neural network, spiking neural networks can embrace the sparsity found in biology and are highly compatible with temporal code. Our contributions in this work are: (i) we give a comprehensive review of theories of biological neurons; (ii) we present various existing spike-based neuron models, which have been studied in neuroscience; (iii) we detail synapse models; (iv) we provide a review of artificial neural networks; (v) we provide detailed guidance on how to train spike-based neuron models; (vi) we revise available spike-based neuron frameworks that have been developed to support implementing spiking neural networks; (vii) finally, we cover existing spiking neural network applications in computer vision and robotics domains. The paper concludes with discussions of future perspectives.”
The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the recent increasing need for the autonomy of machines in...
www.mdpi.com
If I am correct these researchers will be scurrying to publish one that mentions Brainchip so they can claim an understanding in their Intel interviews.
Herein lies the serious point of this post the technology giants disclosing their partnerships with Brainchip are in my opinion going to force academics and other engineers to take an interest in how AKIDA the Science Fiction BEAST works so that they become attractive to Brainchip’s partners for grants or employment.
Tipping points apply to every aspect of a companies growth and the University Program combined with the named partners has clearly created a knowledge acquisition tipping point for academics and engineers globally.
I think it was Tech who first talked about snowballs well the technology acceptance snowball has reached tipping point and has started to roll down the mountain and nothing will stop it now it is too late.
My opinion only DYOR
FF
AKIDA BALLISTA
www.electronicsweekly.com
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