This document discusses artificial intelligence including its history, components, and applications. It defines AI as a program that acts and thinks like a human through rational thinking. The key components of AI include reasoning, learning, problem solving, perception, and linguistic intelligence. Reasons to learn AI include creating software/devices to solve problems, personal assistants, and robots for hazardous environments. AI has many applications in areas like medicine, music, telecom, robotics, games, and banking. The document also discusses advantages like accuracy and speed, and disadvantages such as high costs and lack of original creativity. It explains the importance of internal representation and properties like removing ambiguity.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , Categories of AI, Types of AI, disadvantages , benefits , applications .
We hope it to be useful .
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , Categories of AI, Types of AI, disadvantages , benefits , applications .
We hope it to be useful .
Artificial Intelligence
What is Intelligence?
Intelligence Composed of
Goals of AI
Philosophy of AI
Types of Intelligence
Contributes to AI
AI Fields of Study
Applications of AI
Advantages of Artificial Intelligence
Disadvantages / Limitation / Drawbacks of Artificial Intelligence
Issues of Artificial Intelligence
Artificial intelligence and concept of machine learningPoojaIRathi
Concept of Artificial Intelligence
Artificial Intelligence Applications
What is Machine Learning
Artificial Intelligence Vs Machine Learning
Types of Machine Learning
What is Deep Learning
Artificial Intelligence Vs Machine Learning Vs Deep Learning
Data Science
Machine Learning Vs Data Science
Artificial Intelligence Short Question and AnswerNaiyan Noor
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
PowerPoint Presentation on the topic "Artificial Intelligence" including the brief history,information about the founders and pioneers of the concept and the varied applications and future of Artificial Intelligence.
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretic
Learn more at: https://www.simplilearn.com
What's holding back Artificial Intelligence? While researchers rightly focus on better algorithms, there are a lot more things to be done. We'll discuss why AI needs a new, interdisciplinary approach, how it will be used, and what we've learned from our recent State of AI industry survey.
Artificial Intelligence (AI) -> understanding what it is & how you can use it...Adela VILLANUEVA
The goal of this presentation is to provide you with a basic understanding of AI and to prepare you to think about how your organization might apply it.
Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
Artificial Intelligence
What is Intelligence?
Intelligence Composed of
Goals of AI
Philosophy of AI
Types of Intelligence
Contributes to AI
AI Fields of Study
Applications of AI
Advantages of Artificial Intelligence
Disadvantages / Limitation / Drawbacks of Artificial Intelligence
Issues of Artificial Intelligence
Artificial intelligence and concept of machine learningPoojaIRathi
Concept of Artificial Intelligence
Artificial Intelligence Applications
What is Machine Learning
Artificial Intelligence Vs Machine Learning
Types of Machine Learning
What is Deep Learning
Artificial Intelligence Vs Machine Learning Vs Deep Learning
Data Science
Machine Learning Vs Data Science
Artificial Intelligence Short Question and AnswerNaiyan Noor
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
PowerPoint Presentation on the topic "Artificial Intelligence" including the brief history,information about the founders and pioneers of the concept and the varied applications and future of Artificial Intelligence.
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretic
Learn more at: https://www.simplilearn.com
What's holding back Artificial Intelligence? While researchers rightly focus on better algorithms, there are a lot more things to be done. We'll discuss why AI needs a new, interdisciplinary approach, how it will be used, and what we've learned from our recent State of AI industry survey.
Artificial Intelligence (AI) -> understanding what it is & how you can use it...Adela VILLANUEVA
The goal of this presentation is to provide you with a basic understanding of AI and to prepare you to think about how your organization might apply it.
Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
3. Some more intelligence….
Definition from Rich & Knight : a
program that
– Acts like human (Turing test)
– Thinks like human (human-like
patterns of thinking steps)
– Acts or thinks rationally
(logically, correctly)
10. Reasons to Learn AI
With the help of AI, you can create such software or devices which can solve
real-world problems very easily and with accuracy such as health issues,
marketing, traffic issues, etc.
With the help of AI, you can create your personal virtual Assistant, such as
Cortana, Google Assistant, Siri, etc.
With the help of AI, you can build such Robots which can work in an
environment where survival of humans can be at risk.
AI opens a path for other new technologies, new devices, and new
Opportunities.
14. Best 10 examples of AI in day to day life
1. Open Your Phone With Face ID- uses neural engine and face recognition
2. Email -Google gave us a smarter inbox, categorizing all the emails on its own, into folders such
as Primary, Social, Promotions, Updates and more.
3. Entertainment and Social Apps-identifying friends from photos, newsfeed personalization. ,Netflix
- recommendations
4. Google Navigation- Maps uses Machine Learning
5. Banking & Finance- AI & ML provides security features (Fraud preventions E-payments, Mobile
Banking)
6. Google predictive search algorithms-Google Auto complete forms- RankBrain is the algorithm
name
7. E-commerce – pattern matching , product recommendations
8. Mobile use- Speech recognition with Natural Language Processing (voice to text, chatbot)
9. Video games-AI controlled Non-playable characters (NPC), ML for BGM
10. Smart Personal Assistant- Google Assistant , Alexa, SIRI (Online shopping, Controlling lights
and other internet-enabled equipment ,Setting reminders and alarms , Booking cabs, flights and
trains, Playing music and videos )
15. Advantages of Artificial Intelligence
Following are some main advantages of Artificial Intelligence:
• High Accuracy with less errors: AI machines or systems are prone to less errors and high
accuracy as it takes decisions as per pre-experience or information.
• High-Speed: AI systems can be of very high-speed and fast-decision making, because of
that AI systems can beat a chess champion in the Chess game.
• High reliability: AI machines are highly reliable and can perform the same action multiple
times with high accuracy.
• Useful for risky areas: AI machines can be helpful in situations such as defusing a bomb,
exploring the ocean floor, where to employ a human can be risky.
• Digital Assistant: AI can be very useful to provide digital assistant to the users such as AI
technology is currently used by various E-commerce websites to show the products as per
customer requirement.
• Useful as a public utility: AI can be very useful for public utilities such as a self-driving car
which can make our journey safer and hassle-free, facial recognition for security purpose,
Natural language processing to communicate with the human in human-language, etc.
16. Disadvantages of Artificial Intelligence
Every technology has some disadvantages, and the same goes for Artificial intelligence. Being so advantageous
technology still, it has some disadvantages which we need to keep in our mind while creating an AI system.
Following are the disadvantages of AI:
• High Cost: The hardware and software requirement of AI is very costly as it requires lots of maintenance to
meet current world requirements.
• Can't think out of the box: Even we are making smarter machines with AI, but still they cannot work out
of the box, as the robot will only do that work for which they are trained, or programmed.
• No feelings and emotions: AI machines can be an outstanding performer, but still it does not have the
feeling so it cannot make any kind of emotional attachment with human, and may sometime be harmful for
users if the proper care is not taken.
• Increase dependency on machines: With the increment of technology, people are getting more dependent
on devices and hence they are losing their mental capabilities.
• No Original Creativity: As humans are so creative and can imagine some new ideas but still AI machines
cannot beat this power of human intelligence and cannot be creative and imaginative.
17. Internal Representation
In order to act intelligently, a computer must have the
knowledge about the domain of interest.
Knowledge is the body of facts and principles gathered or the
act, fact, or state of knowing.
This knowledge needs to be presented in a form, which is
understood by the machine.
This unique format is called internal representation.
Thus plain English sentences could be translated into an
internal representation and they could be used to answer
based on the given sentences.
18. Internal Representation
1. Internal Representation should avoid Ambiguity in words due to same meaning of words
Example: Bat is flying;
Bat is with Ram
2. Internal Representation should explicitly mention functional structure to express an idea. It should
follow the word order.
Example: Ram gave pencil to Raj. Raj was given a pencil by Ram.
Internal representation may not use the same order of the original sentence.
3. It should remove all referential ambiguity ie what the sentence refers to
Example : Sita and Gita are friends. She went to her house.
Who went to whose house ?
19. Properties of Internal Representation
Internal representation must remove all referential
ambiguity.
Referential ambiguity is the ambiguity about what the
sentence refers to
Example:’Raj said that Ram was not well. He must by lying”
Who does he refers to..?
Internal representation should avoid word sense ambiguity
Word sense ambiguity arise because of multiple meaning of
words.
20. Example
‘Raj caught a pen .
Raj caught a train.
Raj caught fever’
Internal representation must explicitly mention functional
structure
Functional structure is the word order used in the language to
express an idea.
Example:’Ram killed Ravan. Ravan was killed by Ram.
Thus internal representation may not use the order of the original
sentence
Internal representation should be handle complex sentence
without losing meaning attached with it.
21. Problem representation in AI
Define the problem precisely
Analyze the problem
Isolated and represent
Choose
State space representation: set of all possible
states for a given problem.
22. Example of problem space
to make a cup of coffee.
• Analyze the problem
• Check necessary ingrediants are
available or not
• If they are available, apply procedure
for making coffee.
23. • Ingrediants (initial state)
• Sequence of steps(states)
• Cup of coffee (goal)
• Coffee powder, milk powder, sugar
(operators)
24.
25. We started with Ingredients i.e the Initial state.
Followed by sequence of Steps.
We added only needed amount of coffee
powder, milk & sugar. These are Operators/
Actions.
At last had a cup of coffee –Goal state.