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<div class="moz-cite-prefix">On 5/5/20 5:40 PM, uǝlƃ ☣ wrote:<br>
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<blockquote type="cite"
cite="mid:e12acb36-d3fe-100e-0311-d5dd6f9d9d89@gmail.com">
<pre class="moz-quote-pre" wrap="">So, in state space reconstruction, it seems, we're attempting to infer a structure that is *as* expressive as the data we feed it, similar I guess to deep learning or genetic programming. All the sci-fi movies focus on the brain (or maybe even the CNS). But what I'd like to see is something like FPGA where the dynamically programmable "sleeve" (as in Altered Carbon) is hooked to one end of a harness and the "original" is hooked to the other end ... like a motion capture suit but with way more pathways. Then the "sleeve" is re-configured/programmed over some relatively short period. Like the original has to wear the suit for a 24 hour period ... paying bills, making coffee, having sex, etc. Then, at the end of the process, the sleeve is configured to be as expressive as the original ... at least in so far as the data taken during that period.
We couldn't use such things for long-term duplication. But it would be great for, say, giving speeches. We could take a Donald Trump sleeve, *program* it with Barack Obama, and abracadabra we have a real president who can get through a 30 minute speech without screwing it up.</pre>
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<p>Yeh... but what about his long-form Birth Certificate, huh?
<crude-reference trigger-alert> And I won't even go into
what Melania would get out of the deal! Even Stormy might give
the money back and ask for "do-overs"? </crude references><br>
</p>
<p><anecdotal self-aggrandizing technical discursion><br>
</p>
<p>My last major failed project was an "omnistereoscopic" camera I
was (making plans/designs) to fit FPGAs between all 52 cameras
(200%+ coverage over the 4Pi steradians) to do realtime
lens-correction/stitching with the intention of being able to
*resample* the implied sampled lightfield for myriad purposes,
military, industrial and entertainment. The FPGA inter-camera
fabric was the most efficient for the purpose for lots for lots of
reasons, but was also quite a bit more processing power than was
needed. Not only could it have included an array (even denser?)
of microphones but there would have been leftover power to do
semantic segmenting up to some level. Another layer of "deep
learning" behind the semantic segmentation and viola! <a
moz-do-not-send="true"
href="https://petavision.github.io/petavision.html">Petavision!</a></p>
<p>The Patent holder Micoy I was working with <a
moz-do-not-send="true"
href="https://www.digitaldomain.com/news/digital-domain-acquires-micoy-portfolio-patents-interactive-entertainment-technology/">got
bought by Digital Domain</a> leaving my accounts receiveable
unsurprisingly in line behind the friends-and-family investors,
partly because i wasn't willing to sign on to their non-competes
and was fixated for my own reasons on going forward with open
SW/HW solutions like the <a moz-do-not-send="true"
href="https://www.elphel.com/">elphel 393</a> which NOW comes
with a dual-core ARM and FPGA integrated on each camera board and
GigE for intercamera comms... I can't tell what DD has done
with the patents but they do have a big <a moz-do-not-send="true"
href="https://www.digitaldomain.com/virtual_reality/end-to-end-vr/">*claim*
in the VR</a> space, including (visual) streaming/capture.<br>
</p>
<p>so... "Assume a spherical sensory sleeve"</p>
<p><img
src="https://cdn.hiconsumption.com/wp-content/uploads/2014/09/Bumperball-Plastic-Bubble-Suit-1.jpg"
alt="Bumperball Plastic Bubble Suit | HiConsumption" width="311"
height="207"></p>
<p>meets<br>
</p>
<p><img src="cid:part6.D1C28CCD.42B00B29@swcp.com" alt=""
width="332" height="445"></p>
<p>just need to add temperature, chemical (smell/taste), and
pressure sensors to the surface and viola, glen's "sleeve"!</p>
<p></nonsense what if's></p>
<p>- Steve <br>
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