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PROJECT ON
PROJECT BY:
1. SHREE KRISHNA LAMICHHANE (30)
2. ANIL ACHARYA (2)
3. KIRAN BANSTOLA(15)
4. PRABIN DHUNGANA (18)
SUBMITTED TO :
SOCH COLLEGE OF IT
TABLE OF CONTENTS:
 INTRODUCTION
 HISTORY
 MACHINE LEARNING
 LANGUAGE
 APPLICATION
 ADVANTAGE
 DISADVANTAGE
 AI IN WORLD
 FUTURE
 CONCLUSION
SHREE KRISHNA LAMICHHANE
PRABIN DHUNGANA
ANIL ACHARYA
KIRAN BANSTOLA
INTRODUCTION
TO
ARTIFICIAL
INTELLIGENCE
Includes Learning, Reasoning And
Self-correction
 Includes Expert Systems,
Speech Recognition, Machine Vision,etc.
Defines The Next Generation Of
Software Solutions
Simulation Of Human Intelligence Processes
By Machines.
HISTORY
1956 1958 1962 1966 1972 1980 1997 2000
 JOHN MCCARTHY COINED THE TERM
"ARTIFICIAL INTELLIGENCE".
 DEMONSTRATION OF FIRST AI RUNNING
PROGRAMME
1956 1958 1962 1966 1972 1980 1997 2000
 JOHN MCCARTHY (MIT) INVENTED THE LISP LANGUAGE.
 (IBM) DESCRBED A THEOREM PROVER FOR
GEOMPETRY
1956 1958 1962 1966 1972 1980 1997 2000
 FIRST INDUSTRIAL ROBOT COMPANY, UNIMATION,
FOUNDED.
1956 1958 1962 1966 1972 1980 1997 2000
 FIRST MACHINE INTELLIGENCE WORKSHOP AT
EDINBURGH - THE FIRST OF AN INFLUENTIAL ANNUAL
SERIES ORGANIZED BY DONALD MICHIE AND OTHERS.
1956 1958 1962 1966 1972 1980 1997 2000
 PROLOG DEVELOPED BY ALAIN COLMERAUER.
 (MIT) DEMONSTRATED THE ABILITY OF COMPUTERS TO
UNDERSTAND ENGLISH SENTENCES
 LISP MACHINES DEVELOPED AND MARKETED.
1956 1958 1962 1966 1972 1980 1997 2000
 (MIT) demonstrated the ability of computers
to understand English sentences
 THE DEEP BLUE CHESS PROGRAM BEATS THE CURRENT
WORLD CHESS CHAMPION, GARRY KASPAROV, IN A
WIDELY FOLLOWED MATCH AND REMATCH. (MAY 11TH,
1997).
1956 1958 1962 1966 1972 1980 1997 2000
 INTERACTIVE ROBOT PETS (A.K.A. "SMART TOYS") BECOME
COMMERCIALLY AVAILABLE, REALIZING THE VISION OF
THE 18TH CEN. NOVELTY TOY MAKERS.
 THE NOMAD ROBOT EXPLORES REMOTE REGIONS OF
ANTARCTICA LOOKING FOR METEORITE SAMPLES.
1956 1958 1962 1966 1972 1980 1997 2000
Machine learning
 COMPUTATIONAL LEARNING
 BUILD ALGORITHMS FOR
LEARNING
 LEARN AND MAKE
PREDICTIONS
 PROVIDES THE FOUNDATION
FOR AI
Types of Machine
learning
Supervised Unsupervised
Makes machine learn explicitly
Data with clearly defined output is given
Direct feedback is given
Predictions output/future
Machine understand the data
(Identify patterns/structure)
Evaluation is qualitative or indirect
Doesn't predict/find any specification
Language in AI
Python
Java
C++
Lisp
Prolog
APPLICATIONS
GAMES
VIRTUAL
ASSISTANT
MUSIC
TRANSPORTATION
ROBOTICS
IMAGE
RECOGNITION
Advantages Of AI
 Faster
 No Breaks
 Error Reduction
 Daily Application
 Difficult Exploration
Disadvantage of AI
 High Cost
 Dependent On AI
 Unemployment
 Destruction
PRESENT CONDITION
 ACHIEVEMENTS
AI IN WORLD
(PRESENT CONDITION)
 Chess Computer (1997 Deep Blue)
 ASIMO (Advanced step in innovative mobility)
 Self driving car By Google(2009).
 Watson
 Curiosity Rover
 Digital Assistant
Apple-Siri (2011),
Google-Google Now (2012),
Microsoft-Cortana (2014),
Samsung-Bixby(2017),
Amazon-Alexa(2017).
 Sophia a social humanoid robot.
FUTURE
OF
ARTIFICIAL
INTELLIGENCE
TIME-INTELLIGENCE GRAPH
STRONG AI VS WEAK AI
 PRESENT : WEAK AI
 FUTURE : STRONG AI
BENEFITS
 Cyborg Technology
 Taking over dangerous job
 Automated Transportation
 Improved Elder Care
 Solving Climate Change
 Robot Human Marriage
RISK AND DANGER
 Smartest Than Humans
 Develop Destructive Method For Achieving Goal
 Unemployment
 Programmed to do something devastating
CONCLUSION

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20240605 QFM017 Machine Intelligence Reading List May 2024
 

Ai project | Presentation on AI | Project on Artificial intelligence| College Pesentation.

  • 1. PROJECT ON PROJECT BY: 1. SHREE KRISHNA LAMICHHANE (30) 2. ANIL ACHARYA (2) 3. KIRAN BANSTOLA(15) 4. PRABIN DHUNGANA (18) SUBMITTED TO : SOCH COLLEGE OF IT
  • 2. TABLE OF CONTENTS:  INTRODUCTION  HISTORY  MACHINE LEARNING  LANGUAGE  APPLICATION  ADVANTAGE  DISADVANTAGE  AI IN WORLD  FUTURE  CONCLUSION SHREE KRISHNA LAMICHHANE PRABIN DHUNGANA ANIL ACHARYA KIRAN BANSTOLA
  • 4. Includes Learning, Reasoning And Self-correction  Includes Expert Systems, Speech Recognition, Machine Vision,etc. Defines The Next Generation Of Software Solutions Simulation Of Human Intelligence Processes By Machines.
  • 6. 1956 1958 1962 1966 1972 1980 1997 2000  JOHN MCCARTHY COINED THE TERM "ARTIFICIAL INTELLIGENCE".  DEMONSTRATION OF FIRST AI RUNNING PROGRAMME
  • 7. 1956 1958 1962 1966 1972 1980 1997 2000  JOHN MCCARTHY (MIT) INVENTED THE LISP LANGUAGE.  (IBM) DESCRBED A THEOREM PROVER FOR GEOMPETRY
  • 8. 1956 1958 1962 1966 1972 1980 1997 2000  FIRST INDUSTRIAL ROBOT COMPANY, UNIMATION, FOUNDED.
  • 9. 1956 1958 1962 1966 1972 1980 1997 2000  FIRST MACHINE INTELLIGENCE WORKSHOP AT EDINBURGH - THE FIRST OF AN INFLUENTIAL ANNUAL SERIES ORGANIZED BY DONALD MICHIE AND OTHERS.
  • 10. 1956 1958 1962 1966 1972 1980 1997 2000  PROLOG DEVELOPED BY ALAIN COLMERAUER.  (MIT) DEMONSTRATED THE ABILITY OF COMPUTERS TO UNDERSTAND ENGLISH SENTENCES
  • 11.  LISP MACHINES DEVELOPED AND MARKETED. 1956 1958 1962 1966 1972 1980 1997 2000  (MIT) demonstrated the ability of computers to understand English sentences
  • 12.  THE DEEP BLUE CHESS PROGRAM BEATS THE CURRENT WORLD CHESS CHAMPION, GARRY KASPAROV, IN A WIDELY FOLLOWED MATCH AND REMATCH. (MAY 11TH, 1997). 1956 1958 1962 1966 1972 1980 1997 2000
  • 13.  INTERACTIVE ROBOT PETS (A.K.A. "SMART TOYS") BECOME COMMERCIALLY AVAILABLE, REALIZING THE VISION OF THE 18TH CEN. NOVELTY TOY MAKERS.  THE NOMAD ROBOT EXPLORES REMOTE REGIONS OF ANTARCTICA LOOKING FOR METEORITE SAMPLES. 1956 1958 1962 1966 1972 1980 1997 2000
  • 14.
  • 15. Machine learning  COMPUTATIONAL LEARNING  BUILD ALGORITHMS FOR LEARNING  LEARN AND MAKE PREDICTIONS  PROVIDES THE FOUNDATION FOR AI
  • 16. Types of Machine learning Supervised Unsupervised Makes machine learn explicitly Data with clearly defined output is given Direct feedback is given Predictions output/future Machine understand the data (Identify patterns/structure) Evaluation is qualitative or indirect Doesn't predict/find any specification
  • 17.
  • 20. Advantages Of AI  Faster  No Breaks  Error Reduction  Daily Application  Difficult Exploration
  • 21. Disadvantage of AI  High Cost  Dependent On AI  Unemployment  Destruction
  • 23. AI IN WORLD (PRESENT CONDITION)  Chess Computer (1997 Deep Blue)  ASIMO (Advanced step in innovative mobility)  Self driving car By Google(2009).
  • 24.  Watson  Curiosity Rover  Digital Assistant Apple-Siri (2011), Google-Google Now (2012), Microsoft-Cortana (2014), Samsung-Bixby(2017), Amazon-Alexa(2017).  Sophia a social humanoid robot.
  • 27. STRONG AI VS WEAK AI  PRESENT : WEAK AI  FUTURE : STRONG AI
  • 28.
  • 30.  Cyborg Technology  Taking over dangerous job  Automated Transportation  Improved Elder Care  Solving Climate Change
  • 31.  Robot Human Marriage
  • 33.  Smartest Than Humans  Develop Destructive Method For Achieving Goal  Unemployment  Programmed to do something devastating

Editor's Notes

  1. Ai is the simulation of human intelligence process by machine especially computer system. This process include learning reasoning and self correction
  2. The modern history begins with the development of stored program.
  3. Types of AI that allows software app to become more accurate in predicting outcomes without being explicitly programmed . The basic premis of machine learnin is to built Algrothims that can recive input data and use statical analysis to predict an output value within an acceptable range
  4. Simply machine learning is the learning of computes or machies through building the algrorithms and make the prediction on tha basis of algroerihms and give the output
  5. -As we all know that AI do work faster and accuratly. -They don’t need any breaks in the work. -AI have a low error rate compared to humans. -AI has a huge effect on our life, whether we are aware of it or not, and its influence is likely to grow in the coming years. We use siri bixby and many more in our daily life. Smart car or self driving car (Tesla). -They won't be affected by hostile(unfriendly) environments,and are able to complete dangerous tasks like explore in space, and the work that would injure or kill us.
  6. Can cost a lot of money and time to build, rebuild, and repair. Humans Are become too dependent on AI This will lead to unemployment (The report claims that as many as 800 million workers could be replaced by machines in just 13 years.) If leaded to wrong hand AI would do Destruction.
  7. In 1997 Deep Blue (a chess-playing computer) beats the World chess champion. ASIMO is a humanoid robot created by Honda in 2000. It recognize the moving objects, surrounding environment, sounds and faces, And also it can interact with humans. Google self-driving car was developed in 2009. now many other company have developed self driving car like tesla bmw Mercedes
  8. Watson is a question answering computer system which is capable of answering questions which are asked in natural language, developed by IBM. Rover designed to explore Gale Crater(lake) on Mars.so that there would be existence of life .. Software assistant that can perform tasks or services. Sophia is a social humanoid robot developed by Hanson Robotics. In October 2017, it became a Saudi Arabian citizen,It is the first robot to receive citizenship of any country. 
  9. This is the time intelligence graph of present condn.we can see that the computer performance is exceeding the human performance. We can see that our lvel is far more down than computers. Now on the basis of this graph we can predict how would be the intelligence of computers and robots in the future .
  10. Ai is divided into two types.weak ai and strong ai.
  11. The present ai are the weak ai which have a low level of intelligence which are recently being used in game theory , state machines,and expert systems. The weak ai have less intelligence than humans. The future of world is based on strong ai.strong ai have global learning capabilities,can give pure logical meaning,have self consciousness and biomimetism.
  12. There are many many benefits of ai because they have incredible prediction, accuracy and speed.
  13. Tecnology:One of the main limitations of being human is one of our own bodies and brains. Researchers think that in the future we will be able to augment ourselves with computers and enhance many of our natural abilities Dangerous job:robots are already taking over dangerous job like bomb difusing,intense heat,ear splitting noise etc.so in future robot can replace all dangerous & hazardous job & prevent human from bodily harm. Transport:at present we have already seen the automated cars,though the car needs driver for safety.but technology is not perfect yet.& it will take a while for public acceptance.in future other transportation like train, bus can be auto drived through ai. Care:for every seniours every life is struggle.home robots will help seniours with everyday task & allow them to stay independent which improve overall wellbeing. Climate:we all know that machine has more access to data than humans.using big data ,ai could one day identify trend to come up with solution to the worlds biggest prblm.
  14. Smart:till now human are known as smartest life in the world.but after the development of advance ai,human wil no longer smart.ai system & robotics will far more smartest & ultra intelligent & they can control over the world. destructive:for achieving goal the steps done by ai systems installed by wrong hand may run through destructive method which is risky and dangerous. Unemployment:machine having ai can work for a longer period of time with a better intelligence than humans which creates the unemployment. Devastating:autonomous weapons are the ai systems which are programmed to kill.in the hand of wrong person , these weapons could easily cause mass casualties.