Little sensationalist about the RIP statement.Pretty sure you...

Little sensationalist about the RIP statement.

Pretty sure you are well aware of the various types of AI architecture and algorithms already in existence & already being used, even in mobiles.

Qualcomm has their Hexagon for example.

Whilst a direct connection with Samsung would no doubt do wonders, a non event of using Akida in this iteration does not categorically say RIP.

Personally not holding my breath on a Samsung at this stage but happy to be wrong.

How many available consumer or commercial or industrial quantum AI products are out there yet?

Because these don't exist yet, does that mean that path of development & research should be abandoned and it's RIP for any involved in it?

We've been seeing AI for some time in various guises and generally CPU and / or GPU driven underpinned by MACS as the process instead of spikes or events. Examples like ANN, CNN, DNN, RNN. Most existing HW and algos have been developed around those and now the past few years is seeing increasing interest in SNN.

Obviously we'll continue to see this and various evolutions / advances of current methods still imo however, the industry is now looking ahead to the increasing $ power usage, the costs of "training" these AI models, the data / bandwidth implications and what we can actually process at the Edge, on device, in the Fog, the Cloud or hybrids of all.

IMO it is a similar path, consideration and eventual transition like EV's.

Did this happen overnight and all of a sudden no more internal combustion engines and just EV's or has this been happening for awhile starting with early adopters, now seeing both options operating but seeing an EV tipping point ahead as more manufacturers transition?

Neuromorphic is becoming closer to mainstream looking to adopt it for the right use cases and this is where BRN and other neuromorphic dev companies are positioned to be considered.

Will BRN corner the mkt, hardly.

Should it get some traction in the mkt especially in the use cases it is targeting, I suspect it will.

The real question for me is when, what sort of penetration and ongoing value and how enforceable the patents will end up being down the track.

BTW...Samsung has been interested in neuromorphic for a while now and have been looking at various methods as well as other forms of AI R&D..

They do this at SAIT, the Samsung Advanced Institute of Tech.

https://www.sait.samsung.co.kr/saithome/mobile/research/brain.do