Simply AI: facts made fast

Introduction

History of artifical intelligence. An imitation of life

Defining intelligence

Thinking=computing

Zeros and ones

Ste by step

Algorithms in action

Instructing computers

The first mechanical computers

A mechanical computers

A theoretical computer

An electric brain

Artificial neurons

A programmable computer

A theoretical program

A computing blueprint

Two kinds of AI

AI in action

Trial and error

Mimicking the brain

AI models

Computing power

Raw information

Everything, everywhere, all of the time

Classical artificial intelligence. Represting data. Following the rules

What, when, why, and how?

Presenting knowledge

If this, then that

The shortest route

Imperfect solutions

Performing a task

Dealing with uncertainty

Automated advice

Handling 'messy' data

Neats vs. scruffies

Statistical artifical intelligence. Teaching AIs to think

Gaining insight from data

Teaching materials

Giving data meaning

Looking for patterns

Yes or no?

Types of data

The line of best fit

Grouping data

The odd one out

The most likely outcome?

Machine learniing with 'labeled' data

Learning from feedback

Working together

The Ai brain

Network structure

Assigning importance

Goals and thresholds

Measuring success

Improving performance

Refining the model

A one-way network

Fine-tuning data

Structured data

Building a brain

AI vs. AI

Processing visual data

Using artificial intelligence. Using artifical intelligence. Uses of AI

Ranking

Recommending

Detecting threats

Online attacks

Detecting fraud

AI in finance

Unraveling proteins

Searching for planets

Digital doctors

Monitoring health

Internet of things

Smart devices

Monitoring systems

'Smart farming

Sensory AI

Processing sound

Mimicking sight

Facial recognition

Understanding words

AI interpreters

Talking with AI

AI writers

AI helpers

AI artists

Intelligent robots

AI companions

Movement and mobility

Manual dexterity

Driverless cars

AI and warfare

Philosophy of artifical intelligence. Humanliek AI

The point of no return

Where is consciousness?

do submarines swim?

The imitation game

Intelligence metrics

Machines and understanding

Philosophical zombies

A new kind of person

Replicating the mind

Transparent thinking

Living with artifical intelligence. Myth or reality?

Powered by exploitation?

Garbage in, garbage out

Prejudiced outcomes

Making assumptions

Transparent processing

An AI workforce

The AI balance

An echo chamber

The limits of control

Right vs. wrong

Built-in ethics

who is to blame?

What should we allow?

Existential risks

Unlimited rewards