AI

Chapter 1 Why AI now?

Three types of AI:

(1) rule-based

(2) probability/statistics-based in Bayesian network 

(3) deep learning in neural network

Current web search by Google is based on the page rank algorithm, which highly valuate a website with many links from others; many links mean that the web site is more trustworthy.

The next phases of web search are:

(1) semantic search by Google, which understands what people really want, not just search based only on a keyword used

(2) Siri, an intelligent personal assistant and knowledge navigator, by Apple

(3) graph search by FaceBook - e.g., "What is my friend's favorite song?"

Each player tries to provide necessary info after listening to what a user says; i.e., each company wants to dominate a gateway to the mobile internet.

Big data consists of:

(1) structured data (e.g., customer name, sales figures)

(2) unstructured data (irregular data like inquiries to a call center)

Chapter 2 What is intelligence?

Artificial Intelligence (AI): technology that substitutes humans' intelligent activities with machines such as computers and softwares on it

Chapter 3 Value of Intelligence

Requirements for a project:

(1) What is it for? The more a goal is concrete, the higher the probability of success is.

(2) Feasibility. Is technology developed enough to make it happen? How about human resources?

(3) Is it meaningful for a society?

(4) Why now? Is it timely?

(5) Evolvability / expansibility. What kind of technology is derived from it?

(6) Publicity. Is it interesting for a society?

(7) Motivation. Does a project motivate people?

Chapter 4 Issues of AI

(1) Risks of when people are too dependent on machines / systems.

(2) Concerns for people's employment and existence value replaced by AI.

(1) Risks of when people are too dependent on machines / systems.

Automated driving

Flash crash in stock markets

(2) Concerns for people's employment and existence value replaced by AI.

AI for chess,etc.

(1) game tree exploration (forecasting)

(2) current status / condition analysis by evaluation function

Also, AI does not get tired, feel a fear or sleepy, and lose concentration.