Today one Neuron, tomorrow the Brain!
The Navy said the perceptron would be the first non-living mechanism “capable of receiving, recognizing and identifying its surroundings without any human training or control.”
Mr. Rosenblatt said in principle it would be possible to build brains that could reproduce themselves on an assembly line and which would be conscious of their existence.
John and Sam are talking about the following article:
Professor’s perceptron paved the way for AI – 60 years too soon
In this post the dialogue is realised by an interaction of virtual characters, for more information please check the page “Virtual characters“
So you really want to compare neurons to thermostats and these “governors”?
Some might disagree, but I think it is a much better comparison than all-or-nothing circuits that just represent a 1 or a 0 😊
(How Computationally Complex Is a Single Neuron?)
That’s a good point: neurons have a graded response and integrate a lot of signals, so that is already more sophisticated than a circuit
I guess that your perspective matters: for a hardware engineer, it really is about the nuts and bolts of how stuff works at the lowest levels 😅
but I suppose that from the point of view of software and mathematical models you can just treat neurons as numbers or a function
And that is why you would say that we need to look at analog computing and real time computing?
If you want to understand why it is “neuromorphic” computing, yes!
Otherwise it is just fancy statistics
Ooh, that might be a controversial take indeed! 😏
Ha! 😄 I thought you might like to make the article a bit thought-provoking
But then at a higher level of abstraction, when you put those artificial neurons together into a neural network …?
Well, sure, you get all the bells and whistles of machine learning and artificial intelligence, which is what your readers expect I guess
You seem dismissive about that? 😅
I don’t mean to, no, but after hearing about this 19th century engineer, Smee, from Julia I started to think differently about it
How so? What made you change your mind?
Well, just making a network out of stuff, doesn’t necessarily make it more “brainlike”, you know
Smee just tried to link all the concepts we explicitly know we have, but we more often than not don’t know what and how our brains are doing
So copying the structure of the brain without copying the bits and pieces it is made of doesn’t make it “neuromorphic”?
In a way, yes. We don’t have to copy everything, of course, all the biological stuff, and perhaps not even all the chemical stuff
Just the bits that are relevant to computation, even if we don’t really see it as computation in the classical sense?
And perhaps we end up with artificial neural networks that aren’t terribly efficient or useful
So it depends a bit on whether you use neuromorphic computing to get quick results or to better understand the brain or computing?
Yes, and we might learn something unexpected from our brains, which are still the most efficient computers on the planet
That was great stuff! And totally unexpected for me
You might want to check up with Cho about some of the details regarding how neurons work though …
Excellent idea, I’ll do that right away 😊
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Total posts on the argument
What is AI compared to the hand that wields it?
It suddenly started drawing – in a naturalistic style. Yesterday I was watching it whizzing around, and the result really did look almost like you. That’s when I threw it away…
Anything is art if an AI says it is
Do not you understand? This is a whole new dimension, even according to the canons of the classical “art sacre”. This is a real revolution. Do you understand, ladies and gentlemen? This is the first hot plastic artwork! You! You! My boy … you are an artist!
“Young man, you don’t think I’m encountering constructive symbolism for the first time, do you? “Unplug”: free yourself from physicality, from the vulgar earthbound physicality, from the evils of civilization, from electricity, nerves, and so on. Isn’t that what this is? The association is crystal clear, I’d be tempted to say, perhaps even too obvious” (Kishon 1987)
AI see, AI do
You young badgers imagine that it would be enough to smear a pound of paint on the canvas and you’re already a modern painter. I would be willing to accept this abomination for a bad joke, if there was even the slightest humor behind it. But this here is an abracadabra! A nothing!
As far as AI can see
The case of the use of the abacus by Japanese school children and adults … tool’s use becomes incorporated into a culture-specific technology
All aboard the Spike Train!
The experimental results from neurobiology have lead to the investigation of a third generation of neural network models which …
The Network is the Message
A continued stimulus, such as a state of tension, a light or a sound, produces a continued passage of sensory impulses to the central nervous system.