Artificial Intelligence
Just right
When I read it
September 2021
Why I picked it up
Looking for something to bridge the gap between reading of Dennet, Penrose, Kurzweill etc and tinkering with ML models and python for my AI learning.
Summary
It bridged the gap.. Provides the basic tech/theory to understand what it is roughly going on while recognising or classifying images, translating etc. what algorithms are at play and what they are doing. Nice historical summary as well (the usual turing, kasparov, DeepBlue, Watson & Jeopardy! etc).. fun to read.
Interesting bits
Symbolic & subsymbolic
Rules vs patterns
Weighting & Back propagation
Techniques of self-learning
Perceptron
Deep learning and hidden layers
Insights on thw HOW
Image recognition, image classification, words understanding, NLP, translation etc
Account of Kurzweil and the singularity
Quotes
She quotes an exchange from Star Trek TNG..thumb up!
Inspiration & Next
Hofstaeder is on target now (I will read his latest “I am a strange loop” rather than GEB - I don’t want to read that book!) Kurzweil out of curiosity maybe