Department of Computing and Automation, Faculty of Technical Sciences
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Department of Computing and Automation, Faculty of Technical Sciences. Chair of Informatics. 2013. Artificial intelligence. Đorđe Obradović, Marko Joci ć. Agenda. What is AI? History of AI Problems of AI Applications or uses of AI. What is Artificial intelligence?.

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2013

Department of Computing and Automation, Faculty of Technical Sciences

Chair of Informatics

2013.

Artificial intelligence

Đorđe Obradović, Marko Jocić


Agenda

Agenda

  • What is AI?

  • History of AI

  • Problems of AI

  • Applications or uses of AI


What is artificial intelligence

What is Artificial intelligence?

  • The branch of computer science

  • Problem solving

  • The ability of a computer or other machine to perform those activities that are normally thought to require intelligence

  • The study and design of Intelligent Agent


What is artificial intelligence1

What is Artificial intelligence?

1956. John Mc Carty, MIT

The science and engineering of making intelligent machine

  • especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence.


What is artificial intelligence2

What is Artificial intelligence?

The branch of computer science concerned with making computers behave like humans.

or

A system that makes it possible for a machine to perform functions similar to human intelligence.


History of ai

History of AI

  • 1956. Term Artificial Intelligence introduced

  • Computer were solving word problem in algebra, proving logical theorems and speaking English.

  • In the early 80s AI research was received by the commercial success of Expert System.

  • In the 90s and early 21st century: AI achieved its greatest success.


History of ai 90s and beyond

History of AI (90s and beyond)

  • 1997. Deep Blue – chess-playing computer beats reigning world champion Garry Kasparov

    • Kasparov demanded a rematch because he thought the computer was cheating 

  • Deep Blue could evaluate 200 million positions per second

    • Today’s Intel Core 2 Duo CPU is capable of evaluating 8 million positions


History of ai 90s and beyond1

History of AI (90s and beyond)

  • 2005. Stanford robot – driving autonomously for 131 miles along an unrehearsed desert trail

    • 2010. Google driverless car – driving in cities, and also racing on test courses. No accidents so far!

    • 2011 – present - self-driven cars legalized in some states of USA


History of ai 90s and beyond2

History of AI (90s and beyond)

  • 2011. Watson – IBM’s question answering machine defeated two greatest champions of Jeopardy! quiz

  • capable of answering questions posed in natural language

  • 200 millions pages of data (4 TB of disk storage)

  • received prize of $1 million for victory 


Problems of ai

Problems of AI

The problem of simulating (or creating) intelligence has been broken down into a number of specific sub-problems.


Problems of ai1

Problems of AI

  • Deduction, reasoning, problem solving

    • Early AI researches developed Algorithms that imitated the step-by-step reasoning that human beings use when they solve puzzles, play board games or make logical deductions.


Problems of ai2

Problems of AI

  • Knowledge Representation

    • Many of the problems machines are expected to solve will require extensive knowledge about the world.


Problems of ai3

Problems of AI

  • Planning

    • Intelligent agents must be able to set goals and achieve them. They need a way to visualize the future and be able to make choices that maximaze the utility (or “value”) of the available choices.


Problems of ai4

Problems of AI

  • Learning – Machine learning

    • The mathematical analysis of the machine learning algorithms and their performance is branch of theoretical computer science known ascomputational learning theory


Problems of ai5

Problems of AI

  • Natural language processing

    • Natural language processing gives machines the ability to read and understand the languages that human beings speak.


Problems of ai6

Problems of AI

  • Motion and manipulation

    • The field of robotics is closely related to AI. Intelligence is required for robots to be able to handle such tasks as object manipulation and navigation, with sub problems of localization (knowing where you are), mapping (learning what is around you) and motion planning (figuring out how to get there)


Problems of ai7

Problems of AI

  • Perception

    • Machine perception is the ability to use input from sensors (such as cameras, microphones, sonar and others more exotic) to deduce aspects of the world.


2013

  • How it works?

    • How human beings performs intelligence tasks?

    • Is it possible to use those abilities in computer programs?

    • How?


Motivation

Motivation

  • Try to solve this equations FAST without using calculator:


Motivation1

Motivation

  • If the car traveling at the speed of 61.34 km/h, for how many minutes will exceed 29.56 km?


Motivation2

Motivation

  • Do we use some shortcuts?

  • For example..


Motivation3

Motivation

  • Or


Motivation4

Motivation

  • Do we use some shortcuts?

  • For example..

If the car traveling at the speed of 61.34 km/h, for how many minutes will exceed 29.56 km?

61.34 km/h is approximately 60 km/h, which is about 1 km/min.

So it means that we will need about half an hour to arrive at the destination of 29.56 km.


Motivation5

Motivation

  • If we can use such shortcuts, how we can use them in computer programs?

  • In the real applications length of 16cm is almost same as 16.01cm

  • If we insist on accuracy sometimes our program cam make wrong conclusion.


Motivation6

Motivation

Example 1

(5,5)

p1

(1,4)

Intersection p1 and p2

(1,1)

(5,1)

p2


Motiva tion

Motivation

Example 1

(5,5)

p1

PostGIS 8.4.4 functions:

contains, intersection

(1,4)

contains(

intersection(

st_geomfromewkt('LINESTRING(1 1, 5 5)'),

st_geomfromewkt('LINESTRING(1 4, 5 1)')

),

st_geomfromewkt('LINESTRING(1 4, 5 1)')

)

(1,1)

(5,1)

p2


Motivation7

Motivation

What is the date?

How many triangles are

shown on the picture.

Is this a car or house?


Motivation8

Motivation

Arrange geometric shapes to occupy the

smallest area.

Allowed operations are move and rotate


Motivation9

Motivation

Which artist is most often appears on the

list. How many times?


Motivation10

Motivation

Find 5 differences


Motivation11

Motivation

What is shown on the figure?


Motivation12

Motivation

How many persons are shown on the picture?


2013

Parameters

Model structure

Hidden concepts

What

Supervised

Unsupervised

Crisp or uncertain

Reinforcement learning

Planning

Reasoning

Deterministic

Prediction

Pattern recognition

Aim

Learning

Diagnostic

Prediction

Stochastic

Diagnostic

Online, offline

Types

Model

Active, passive

Problems

State space

Classification

regression...

Results

Domains

Finance

AI - SOFT COMPUTING

Tools

Robotics

Neural computing

Games, entertainment, sport

Fuzzy systems

Medicine

Probabilistic reasoning

Evolutionary computation

WEB

Swarm intelligence

Agricultureand industry


Applications of ai

Applications of AI


Natural language processing

Natural language processing

  • Gives machines the ability to read and understand the languages human beings speak

  • Requires in-depth knowledge of the languages that are processed

  • The goal is often natural language understanding – enabling computers to derive meaning from human language input


Speech recognition

Speech recognition

  • Technology that allows the computer to identify and understand words spoken by a person using a microphone or telephone

  • Many challenges:

    • different accent

    • slang

    • background noise


Facial recognition

Facial recognition

  • Automatically identifying or verifying a person from a digital image or a video frame from a video source

  • Uses:

    • security systems

    • crime prevention

    • auto-focus (on modern

      mobile devices and camers)


Military

Military

  • Faster collection and examination of large amounts of information

  • Improving reaction and decision-making for more effective military actions

  • High-performance fighter aircraft

  • Training simulators


Medicine

Medicine

  • Clinical decision support systems

  • Computer-aided medical diagnosis

  • Computer-aided interpretation of medical images (CT, MRI, ultrasound…)


And many others

And many others…

  • Finance – market predicting

  • Transportation – automatic gearboxes who utilize fuzzy logic

  • Music – can computer be a skillful musician?

  • Toys – artificial pets

  • Real estate – risk analysis

  • E-mail spam filtering

  • Games


Games ai

Games & AI


2013

Maze


Chess dragon

Chess Dragon


Sudoku

Sudoku


Puzzle

Puzzle


Numbrix

Numbrix


Demonstrations

Demonstrations

  • Demos of AI in games:

    • Are you faster then a computer?

    • Can you beat a simple chess AI?

  • Demos of AI in computer vision:

    • Real-time object tracking

    • Medicine – image segmentation

    • Optical character recognition (OCR)


Demonstrations1

Demonstrations

  • Demo of AI in natural language processing:

    • Have a chat with a bot

  • Others:

    • Control a car with motion gestures

    • Control mouse pointer with random object


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