What's the FLOPs of this thing? Without this crucial info, we can't know if it's useless for training AIs or not. Training cost so much in terms of energy because the machines they use are beasts in terms of performance.
"brain organoid" sounds like an insult.
Statement: you are correct. They should instead be called brain meatbags.
Okay, brain organoid
Can it do backpropagation?
As if tech isn't enough of a hyper specialized mess already now we're throwing biologists into the mix. "Sorry we need to wait for the registered nurse to fix your machine I'm not authorized to administer meds through the CPU's IV"
From a read of that article, it appears that they are feeding it analog inputs, which would imply that it is producing analog outputs. I don't know if there is a way to evaluate floating point operations on an analog system. That said, my knowledge is very cursory, and someone will surely correct me.
I'm confused. I assume they somehow still use electric signals? Do they still compute in binary? How does that work exactly?
Though, if this could reach a product state that's similar to silicon based processors, and the power consumption argument is true, then this could revolutionize the entire digital age.
It's a bunch of neurons that speak to a computer with a microelectrode array. So they "speak to" the neurons with electric impulses, and then "listen to" what they have to say. The computer it's connected to uses binary, but the neurons are somewhere in between. Yes, the change in electrical potential is analog, but neurons are typically in their "on" state, recovering from their "on" state, or just chilling out.
The brain is incredible because of the network of connections between neurons that store information. It'll be interesting to see if a small scale system like this can be used for anything larger scale.
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