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If you enjoy this topic than this is a great read...
https://www.wired.com/2017/02/ai-learn-like-humans-little-uncertainty/
AI Is About to Learn More Like Humans—with a Little Uncertainty
I can't grab the text to read it at Wired.
One item of commentary.
It goes like this. No one really saw the rise of AI moving forecfully to the front in '16.
So there is training; DSPs in the cloud ( Nivida)
There is inference...Some are saying very loudly FPGAs do it best.
There is Facebook saying it wants to do inference ON the device.
The wired article is great to show how fast this is moving and that there may be new ways
of Bayesian probabilities, which resonates with me.
But when it comes to the value of IP as it relates to intelligence.
The valuation here is very different.
If you need a bit/piece to try on the workbench
you just open the wallet and you buy it.
Usual metrics of valuation here; They do NOT matter( so much)
So no ONE so far has made the jump in any writing of
eFPGA perhaps enabling Inference on the device.
One of the Tier one semi who licenses eFPGA will try it.
IF IT works, what ever you think the IP is worth; its worth more.
This is just a WILD card for now.
It is Adjacent Possible now and a WILD card that is
higher in value than many you will see.
Thats what the Adjacent possible has to say.
One key thing as I track this forward.
It IS largely unseen and unknown.
A card so high and wild
no reason to deal another.( paraphrase of a L Cohen line ( who's gone now))
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