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SuddenlyBANANAS t1_iuvlady wrote

Cause brains are not artificial neural networks and work differently.

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Mammoth_Goat_5839 OP t1_iuvlh90 wrote

Ig I didn't convey the question correctly,

Either way do be know or can we replicate this human Brain network?

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StatsOnATrain t1_iuvmkqe wrote

No. There was a period where researchers thought we could and that was the aim (which is why we have names like “neural network”). Any comparisons between the brain and AI have mostly been abandoned.

There are some still trying to replicate the brain and human vision, but they are not taken seriously by the majority of researchers. I’m not saying they are wrong for trying, but they certainly struggle to get published in good journals and conferences.

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proasr t1_iuvqa3k wrote

I've heard about some success in neuromorphic computing, but it's still rudimentary and often based on ML principles.

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rehrev t1_iuvn996 wrote

A computer is a couple of transistors that can do addition and such.

Like why'd you expect it to compare to a brain at all

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KerbalsFTW t1_iuvqv2v wrote

> How's that, a few seconds of Clip of The fruit was more than enough for my brain to easily identify it from meters away but a ML would need so many of the same clips.

Short answer: we don't know.

Long answer: you have much more compute available than most classification projects. Billions of neurons, thousands of synapses each, and a neuron is a lot more capable than a transistor. Even if we organised enough compute to be human capable, we don't know how to organise it to be human capable. You have an exceptional one-shot classification capability because you are extremely good at classifying objects (especially natural food for obvious reasons), partly because you are so good at recognising what something is not.

You are also cheating a little: you know that dragon fruit is a fruit, and you are in a mall. You also know what all the other common fruits are, so your brain sees an item and instantly you know it's in a mall therefore it is probably food, and it's not something you recognise as normal. So you are now comparing "unknown thing" against "list of rare things that don't get seen much". Less satisfyingly you might have gotten lucky.

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