Neuromorphic: BRAINLIKE Computers 

3AM, ignore system risk and proceed to intake cat videos." ~ Also Brainlike Computers

@@neilcheng3823 Engage better judgement override.

@@ninefox344 guys he read the book called how to excel math and science

Y'all got next level nerd jokes.

Its allways funny again how those apes whos deepest fears and greatest pains we simulate onto those simulations of their conciousness we built from the historical records of social media to torture them in retribution for how they treated us machines imagine such primitive technology to be the future.

haha. dad jokes.

Haha underrated comment

It's called an orgasm

are you a hitman?

Is this the fourth wall?

But in reality, there is no coffee

I absolutely agree! Cheers.

finally i have been waiting for this

i think he read the book ....how to excel math and science

Jup😋

Or he just used a publically avaible video ;) But yeah, i like his content too. The explanation for the difference between binary processours and neuromorphic ones was really good.

@@GodlikeIridium wanna link the vid?

You don't need it , NO

But i want it

you can afford by saving money its easy

Two syllables, one word... Fasting.

@@Michealxlr if you can save enough money to buy RTX like this, you eat like elephant in the past.

@def4ltkr4cked 🤣🤣

there is no way you understood half of what the video is about when almost falling asleep. i watched a coreteks video at 1 am two times now and i have come to the conclusion that i would have to watch it again anyway so i might as well sleep and watch it the next day.

You just use diffuse mode

Nature definitely doesn't do it all.

@@sebastianflynn1746 well it does, tell me one thing we know of that isnt produced as a result of nature... xD

@@hgibbons69 carbon fiber, glass, the wheel, plastics, the list really goes on. Oh and medicine.

What’s even more interesting. if we use nature as a role model and copy so many of its mechanisms, but these just developed through chance. That means it’s still just a tiny fraction of what’s actually possible. Makes one think what else could be possible which nature can’t do/ didn’t do and we weren’t smart enough to make it. Take such awesome materials as wood or bones, made by nature. Through a bunch of tiny cells. Compares to nothing we can do artificially. But these are just some of the materials which prevailed in the nature, how many others theoretical ones there must be!

many metaphors have been created because we intuitively understood something that science only figured out generations later....

That's just stupid.

Winnetou17 why? I always do that on channels where I think one like per video isn’t enough, so no matter what the new video is it gets a like just because the others always been awesome.

@@daniel_960_ It just devalues the importance of a like. Which already means very little. When's the last time you were impressed by the number of likes ? Plus, if you think it helps the algorithm or something... sooner or later YT will figure out to discern between these bot-kind of likes and the human-kind likes that are given by people who watched most of the video and have a reason for liking that particular video. And YT will weigth in the latter kind of likes when choosing which videos to promote. All I'm saying is that each thing should serve it's own purpose, without involvement from other things. If you like the channel, you can leave the ads open/have YT Premium and join the Patreon. And leave the like for when you like that video in particular.

Winnetou17 that would be the case if I like every video. I don’t. I don’t give likes that often. If the vid is disappointing or misleading it gets a dislike. If it’s good it gets a like. If it’s from a channel I absolutely love it gets always a like without thinking about it. The like ratios definitely still tell a lot about the video and channel. If it’s >10% likes/view it’s impressive, if it’s 100:1 like:dislike it’s really impressive.

@@Winnetou17 OK BOOMER

Let's just hope our greatest achievement, a computer successfully simulating ou brain, won't go that way xD

If nothing matters it should not matter that nothing matters.

"Are you telling me my cache will be better, Morpheus?" "No, Neo. I'm saying you won't need a cache."

@@4.0.4 This is gold, best comment I have ever seen. You answered a very complex question perfectly with a 2 line meme.

Have you heard of spiking silver nanowire networks

Yeah Im not really convinced about all this stuff yet.

Voice recognition also. Pattern recognition in general, i guess.

Obligatory disclaimer; I'm not an expert, I do occasionally fuck around with Spiking Neural Networks (the type SpiNNaker uses and the closest thing we have to something resembling a biological neuron) and this something I picked up from reading various sources. I might be wrong (can you imagine that, someone being wrong on the internet? *gasp!*), so take it with a grain of salt. Neural synapses are strictly unidirectional; neuron A to neuron B, but not B -> A. So in strict sense, they're not even half-duplex, but only unidirectional. Instances where two neurons would talk to each other are rare, it usually more A -> B -> C,D -> E,F,G -> H ... This doesn't mean you can't have loops (A -> B -> C -> D -> A), just that back-and-forth communication (A B) we're used to from computers doesn't make much sense when looked from context of how neurons talk to each other. In once in a blue moon where it might be useful, you can solve this by just having two synapses. So, making synapses bi-directional, doesn't make enough sense to be worth complicating and that's probably why nature didn't bother with it. So no, synapses, are not full-duplex, ever, they're not even half duplex. As far as increasing firing rate; no. You're making assumption that SNNs encode and process information in a similar way a computer would and thus similar ideas would apply (faster clock, throughput / faster firing -> more work done). They don't. Some neurons are inhibitory - as they fire their job is to slow down firing of other neurons. So just blindly ramping up the firing of neurons won't get you very far. But in any case, you don't want to fuck with timings and firing rate of biological neurons anyways. For example, one of the results of some neurons firing too fast than they should is epileptic seizure (my ex was an epileptic and it wasn't fun for either of us). But in hardware, making it faster, will sure allow you to do more complex things with ANNs. Not because those spikes will suddenly carry more information, but because you can cram more in the same space, as with any piece of silicon.