Some people have left biomimicry in the dust and are manipulating matrices to sets find optimal parameter sets representing concepts.
Other people (https://www.humanbrainproject.eu/en/) haven't! There is a big community of people building novel types of neural network using spikes and so on.
And you are right - it isn't clear who is right. On one side the "no nature" folks might say : we don't even understand neurons to the point where we can definitely categorize them in a mouse brain, let alone explain their behaviour, or actually properly measure their behaviour, and so on and so on - this before understanding any of it really.
On the other hand the "lets mimic things we don't understand" folks would say - we need to understand this because the human brain out performs all AI today on a 20 watt budget.
My view is the understand stuff agenda is right - but not now and probably not for 20 years (in a big way). We need small scale capability and direction finding work - and we will need to do that for a long time.
Some people have left biomimicry in the dust and are manipulating matrices to sets find optimal parameter sets representing concepts.
Other people (https://www.humanbrainproject.eu/en/) haven't! There is a big community of people building novel types of neural network using spikes and so on.
And you are right - it isn't clear who is right. On one side the "no nature" folks might say : we don't even understand neurons to the point where we can definitely categorize them in a mouse brain, let alone explain their behaviour, or actually properly measure their behaviour, and so on and so on - this before understanding any of it really.
On the other hand the "lets mimic things we don't understand" folks would say - we need to understand this because the human brain out performs all AI today on a 20 watt budget.
My view is the understand stuff agenda is right - but not now and probably not for 20 years (in a big way). We need small scale capability and direction finding work - and we will need to do that for a long time.