This sounds like the periodic resurgance of interest in neural nets that has been going on for decades. While our brains do well with neural nets, they use a lot of neurons and a lot of synapses to figure out patterns. Once the pattern is understood: "IF the temperature rises quickly THEN ring the fire alarm", it can be programmed on a trivially simple logic gate. I think that neural nets often are used to address problems which are not well understood and the programming of the neural nets is not well understood either. Knowing what we want and finding an efficient way to get to the intended destination is more likely to lead to programming success.
It's great to see experimentaiton in architectures. However these usually come at the cost of needing a whole new programming approach which means outside of the chip devekopers, no one knows how to write software for this beast yet.
As we unveil EE Times’ 2015 Silicon 60 list, journalist & Silicon 60 researcher Peter Clarke hosts a conversation on startups in the electronics industry. Panelists Dan Armbrust (investment firm Silicon Catalyst), Andrew Kau (venture capital firm Walden International), and Stan Boland (successful serial entrepreneur, former CEO of Neul, Icera) join in the live debate.