Headline reads like
this:
Aug 2017, BBC
And inside:
Nigerian Oshi Agabi’s modem-sized device - dubbed Koniku
Kore - could provide the brain for future robots. It is an amalgam of living
neurons and silicon, with olfactory capabilities — basically sensors that can
detect and recognise smells.
And an explanation:
While computers are better than humans at complex
mathematical equations, there are many cognitive functions where the brain is
much better: training a computer to recognise smells would require colossal
amounts of computational power and energy, for example.
The prototype device shown off at TED - the pictures of
which cannot yet be publicly revealed - has partially solved one of the biggest
challenges of harnessing biological systems - keeping the neurons alive. "This
device can live on a desk and we can keep them alive for a couple of
months," Agabi told the BBC.
And what do we
think about this?
As much as this story is pretty nuts (if the sentence “They
can live on a desk” doesn’t make your head spin…), it’s all too common a story
in the tech world. Not that it’s fake news or anything, but let’s just say it
is misleading to talk about “smelling robots” in this way.
The less interesting truth is that they can only be
trained to smell specific molecules, not even signatures, or combinations, of
molecules. A system able to smell “anything that might come up,” and able to
use that information for something important, such a system could not be
trained. Well, hmmm, we get trained to
do this from birth, in fact we are already learning about our olfactory
environment in utero.
So if we want AI to meet olfaction, what we need to do is
keep them alive for a lifetime, and give them a body, and friends and a job.
You know, just like a real person. They would need to learn from the ground up,
just like a real person.
However ---
There is a point being made here by Mr. Agabi that is
totally in-line with the thesis of Hidden Scents. The way we
use computers today will eventually be supplanted by something else.
Traditional computation will still be useful, but something else will take us
beyond the capacities of today’s technology (whole lotta talk in the sci-fi
sphere of quantum computing, for example).
As of now, neural networks are taking us in a new
direction. Granted they were used back in the 80’s, but only recently have they
become a marked change in computing technique. (I like to note here the contemporaneous
link between the architecture of neural networks and how it is the same thing
used to mine bitcoins – the processor is no longer the key component, it’s how
many graphics cards you have all wired together.)
The olfactory bulb, the crux of the olfactory system,
from an information processing point of view, is a model neural network. And
the fact that it’s already connected to the limbic system – the thing that
makes us move, the thing that makes our bodies work, and even our emotions –
this makes it a model system for so much more.
*Anyone with more
comp sci knowledge than me please feel free to correct as I am no expert and
speaking in pretty broad, possibly misunderstood, terms.
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