The researchers had something online at one point, but it wasn't working when I needed the link for the story. They said they planned to fix it, but so far they haven't.
Sounds like an other instance of corporate greed. And for this, corporations just got a giant tax break! Thanks, GOP.
I expect that in the current political climate, there's not much hope that things will improve. Let's hope someone out there actually cares about workers.
Thank you for sharing this enlightening (and depressing) article.
However, I disagree about the lack of a connection between ORNL's work on MENNDL and scientific discovery. I'm going off of what ORNL told me, but according to them, using DL has been hard for scientists and this could make it easier. I am a writer, not an engineer, but here is how ORNL explains it: "Because scientific data often looks much different from the data used for animal photos and speech, developing the right artificial neural network can feel like an impossible guessing game for nonexperts. To expand the benefits of deep learning for science, researchers need new tools to build high-performing neural networks that don’t require specialized knowledge."
You are right about the 2015 publication. I believe ORNL waited until it had results from a user (Fermilab) to release the information.
There are also two related papers:
-- one is about the Fermilab's neutrino research using MENNDL http://ieeexplore.ieee.org/document/7966131/
-- and the other is about evolving deep neural nets in HPC:
https://dl.acm.org/citation.cfm?doid=3146347.3146355
As you can see in the video https://www.youtube.com/watch?v=HjW1kIt5iQg there is some latency. Weinberg and Barnes are working to fix that, but I don't know details. Weinberg said he wants to gather more data from more users so the arm is more useful to more people.