I haven't asked about pricing and availability, but Mythic has evaluation 
systems.

https://www.mythic-ai.com/product/evaluation-system/

There are not commercially available devices from IBM yet.  I'm not at liberty 
to give further details.   
I like this approach because it is obvious how to use it vs. the new spiking 
neural net stuff from Intel (and also from IBM) is more speculative w.r.t. 
applications.

Quantum computers are all analog machines in practice.

-----Original Message-----
From: Friam <friam-boun...@redfish.com> On Behalf Of u?l? ?>$
Sent: Friday, October 1, 2021 10:12 AM
To: friam@redfish.com
Subject: Re: [FRIAM] A pretty cellular automata video

Maybe I'm just incompetent today. But what PCM devices did they use? Internal 
IBM research devices? Or did they only use the simulator 
(https://github.com/IBM/aihwkit)? Are there commercial PCM chips yet?

On 10/1/21 7:34 AM, Marcus Daniels wrote:
> Companies like Mythic and IBM have developed analog devices for energy- 
> efficient deep learning.   Noise and low precision are often used as part of 
> ML training protocols anyway.    Here they did careful side-by-side testing 
> to quantify the impact of going analog.
> 
> https://www.frontiersin.org/articles/10.3389/fncom.2021.675741/full 
> <https://www.frontiersin.org/articles/10.3389/fncom.2021.675741/full>
> 
> Or perhaps the proposition is that CS people (for example) can’t appreciate 
> complexity that where the generative rules are unknown or obscure?   Sure 
> that horse is fast, but how can I put a new engine in it?

-- 
"Better to be slapped with the truth than kissed with a lie."
☤>$ uǝlƃ


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