The 3rd wave AI requirements
Harold H Szu · MOJ Applied Bionics and Biomechanics · 2019
We review 3 rd Waves of Artificial Intelligence (AI).The 1st Wave is 5 decades ago MIT Marvin Minsky with Seymour Papert proposed rule based "Perception": "If so so, Then so so" system against the brain base "Perception" by Cornell Frank Rosenblat (1928-1971).The 2nd Wave is circa March 15 2016 "learn-able Rule Based system" with supervised learning with labeled data "from A to B" that Alpha-Go Brain had beat human (Korean genius Lee Sedol) in Go Chess Games (democratic black-white territorial game) 4 to 1.The revolution is due to ( 1) Massive Parallel Distributed (MPD) Compute (e.g.miniaturized GPU, as PC backplane), (2) matching MPD software (without the need of slow-down inner do-loop, Python: Tensor Flow, e.g.Stanford Course RA, MIT AGI), and (3) immense amount training data (e.g. in the Cloud, or Tesla Model 3-new Electrek collecting real world driving data from owners paid inexpensively at $35K).The paper describes 3rd Wave of AI that has human Fuzzy Linguistic Thinking using Unsupervised Learning of Homo sapiens at a constant temperature in the sensory pairs called the power of pairs, e.g."Agree, the Signal; Disagree, Noise" in terms of two LIDAR's, RADAR's, Videos' pairs operated by their relaxation toward the Minimum Helmholtz Free Energy.