Brains scale better than CPUs. So Intel is building brains

Though neuromorphic architectures are interesting, the Loihi is essentially an ASIC for Spiking Neural Networks [1]. The lower power consumption than GPUs is due to the limited nature of computation that can be performed on these chips (which is generally true for ASICs).<p>[1] <a href="https:&#x2F;&#x2F;en.wikichip.org&#x2F;wiki&#x2F;intel&#x2F;loihi" rel="nofollow">https:&#x2F;&#x2F;en.wikichip.org&#x2F;wiki&#x2F;intel&#x2F;loihi</a>

I don&#x27;t quite understand brain simulation. Most article talks about how neuron works, how they are connected. It seems I can write a simulation easily. <a href="https:&#x2F;&#x2F;medium.com&#x2F;@bennashman&#x2F;modeling-your-brain-on-a-computer-with-computational-neuroscience-57596c919c70" rel="nofollow">https:&#x2F;&#x2F;medium.com&#x2F;@bennashman&#x2F;modeling-your-brain-on-a-comp...</a><p>What I don&#x27;t get is, the interconnected neurons don&#x27;t seem to be differentiable. How do they learn? How to provided feed back to the system? How to train them like we do to ANN?

I look forward to my brain leaking memory to other threads.