The 3rd wave AI requirements
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 12, 2019
- Accession Number
- AD1105663
Entities
People
- Harold H. Szu
- Henry Chu
- Jerry Woo
- Lin C Chang
- Ramesh Kolluru
- Simon Foo
Organizations
- The Catholic University of America