What This Chapter Is About

Definition of AI

Importance of AI

AI and Related Fields

Brief History of AI

Applications of AI

Definition and Importance of Knowledge and Learning

But first...

what is Artificial Intelligence?

Building systems that can do intelligent things

Intelligence is

Perpective

Psychological

Ambiguous

Map

Translate

Alpha Go

Youtube's Recommendation

Facebook's News Feed

Photo Manipulation

Drones

Text Generation

Face Recognition

Other

• Spam Filter in Email
• Google Search
• Weather Prediction
• Games
• Speech Recognition
• Chatbots
• Well...You can list more...

Philosophy (and general) Definitions

Aspects

Thought Process/Reasoning

Behavioural

Thought Process

Thinking Like Human

Thinking Rationally

Behavioural

Acting Humanly

Acting Rationally

Acting Like Human

- NLP

- Knowledge Representation

- Automated Reasoning

The Turing Test Approach

Acting Rationally

The Rational Agent Approach

Acting Rationally

Agent

Environment

Sensors

Stimuli

Actuator

Acting Rationally

Agent

Thinking Humanly

The Cognitive Model Approach

Thinking Humanly

Human Brain

^

||

||

V

Computer System

Thinking Rationally

The "Law of Thought" Approach

Thinking Rationally

- Use of logic and symbols

- Right Thinking?

- Requires Precise Knowledge Representation

- Too many computations

Rational Agents

Agent

Simple Reflex Agent

No History

Model-Based Reflex Agent

Goal-Based Agent

Utility-Based Agent

Importance of AI

AI is everywhere

Catalyst in Decision Making

Related Fields

NLP/NLU

Speech Recognition

QA and bots

Information Retrieval

Semantics Inference

Problem Solving

Heuristic Search

Automatic Program Writing

Inference

Interactive Problem Solving

Visual Perception

Pattern Recognition

Scene Analysis

Object Classification/Localization/Segmentation

Robotics

Exploration

Navigation

Industrial Automation

Military

Games

You know it...

Neuroscience

Economics

Brief History of AI

Applications of AI

Definitions and Importance of Knowlege and Learning

Knowledge

Facts

Knowledge Storing

Symbols

Internal Representation

Knowledge Representation

Mathematical Model

Natural Language

Speech

Image

Importance of Knowledge?

Learning

Changes

Generalization

Improvement

Myths

AI is all about making machines that can think

Not Even Close

AI won’t be bound by human ethics

AI will spin out of control

Autonomous Systems only do good for what they are trained for

AI will be a series of sudden breakthroughs

Slow and Steady

News Media Be Like

News Media Be Like

Artifically Intelligent?

Perhaps, NO

Should We Fear?

No. But Yes in some ways due to social media.

AI has become a misnomer

Where Are We?

Artificial Super Intelligence

Perhaps, Never...

Artificial General Intelligence

Not quite sure we will make it there...

Artificial Narrow Intelligence

Definitely, here...

Reality

Still a baby

Data. Data. Data.

This...

Precise Segmentation

Real Time Object Detection

Baidu’s AI Mimicks Voice

Aid in Tumor Diagnosis

Aid in Surgery

Software 2.0

-Andrej Karpathy

What should we fear?

This?

NO!

Faking using Deep Learning

Personalized Influences

Adverserial Attacks

Confusing Computer Vision