The 3rd wave AI requirements
Journal Article - Open Access
Catholic University of America Washington United States
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We review 3rd 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 LIDARs, RADARs, Videos pairs operated by their relaxation toward the Minimum Helmholtz Free Energy.