DKN's View on AI R&D


DKN's View on AI R&D


İDuyKy Nguyen, PhD EE @unitethc.com
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DuyKy Nguyen posted on Linked In in 2023-Nov

  In this post I wish to present my narrow view on our current AI R&D Sincerely sorry for any incovenience may case from this post To the best of my knowledge Our current AI has been based on the the McCulloch and Pitts MCP model, named after the two scientists (Warren McCulloch and Walter Pitts) who proposed it in 1943, 80 years ago However per my control back ground and 4 years as tutor in a Control Lab for Senior EE / Master student and practicing Engineer in 1994-1997 in Instrument &Control EE at University Technology Sydney Australia All mathemacical models cannot be use before verified My note on modelling in this control lab can be found below https://lnkd.in/eqA6ugRC So my real concern is Was this mathematical 80-year AI model was ever verified ?? I could not find such info via googling If probably it's not So all our AI R&D may have been rendered useless ?? What a real unfortunate we may have waisted alot of our limit real resource on unreal and worthless work ?? In my control discipline, the followings are strictly hornored 1) system identication for a mathematical model 2) system verification for a evaluation of output of simulation of the model and output of real system using the same step input 3) once verified a system controller is developed based on the verified model As You've seen in my modelling note a mathematical was precisely derived per physic law with some assumption All system verifications were not absolutely matched but within acceptable tolerance Per my control discipline I've seen as a very productive R&D with proper working attitude There must be some kind of problem in any product Once I was reported a problem in my responsive product My first job was to verify its existence before start solving I always see my product is buggy and think seriously on its ill behavior to prepare precautious accordingly Being human being err after all The only way making no mistake is doing nothing but it's not our choice So I'm not suprised with our wrong AI approach I truely honor the job well done in creating MCP model as a mechanism to mimic human brain Regardless how accurately it behaves like human brain or not It's was a original contribution to our scientific technical socoiety somehow in stimulating new area hopefully not any harm to human kind Even it realy a correct model of human brain But it's impossible to implement such model with of 80 billion neurons as in human brain The more expecting on AI the more wasting on our scare resource Before move on with AI using this reasonable MCP model We have to set what our reasonable goal to achieve if not getting it within some resouce constraint anf time frame Forget AI once and for all and focus on urgent task in health care It's unwise to get work done at all cost Or we want challenge ourseves with AI Let's challenge ourseves with better health care for all Sincere Rgards DuyKyNguyen, PhDEE, ex Syymetricom R&D Engr, unfortunate retiree with disability!!