Artificial intelligence (ai) is a wide-ranging branch of computer science concerned
with building smart machines capable of performing tasks
Artificial intelligence definition(ai)
What is artificial intelligence approach?
Artificial intelligence Applications and Artificial intelligence examples
Top 5 artificial intelligence movie
Artificial intelligence course
Artificial intelligence in medicine
Artificial intelligence vs machine learning
Artificial intelligence agents and Environment
Agent Terminology
The problem the agent solves is characterized by
Characteristics of Intelligent Agent
Simple reflex agents
Model-based reflex agents
Goal-based agents
Utility-based agents
More
Jobs
Artificial intelligence(ai) definition
Artificial intelligence def:
● Artificial intelligence(ai) is a branch of engineering in which we develop an
intelligent computer program. In other words, ai is a way of changing computer
behavior to think and act like a human.
● In Artificial intelligence(ai), we study human behavior on different problems, how
humans learn and plan to solve a problem in his way. Translating human thought
and developing intelligent software is the final goal in Artificial intelligence. Can a
machine think and behave as humans do? The development of Artificial intelligence
started to find a solution. People started to develop an intelligent program that can
act like a human.
One or a combination of multiple branches can be used to make an intelligent system
that can act like a human.
What is the artificial intelligence(ai) approach?
In the real world, knowledge has few challenges -
● The volume of knowledge is huge, and difficult to manage and store on a computer.
● Knowledge is not organized and well-formatted. For example, doctors write a
prescription on sample paper which is difficult to store on a computer. That’s why we
need an intelligent system to handle it.
● The nature of knowledge is changing constantly. The artificial intelligence (ai)
approach is a way to organize and use the knowledge smartly in such a way that -
● It should be understood by the people who provide it. It should be editable and
useful for the future.
Gaming - Look at computer games such as chess where machines think many
possible combinations/patterns in playing chess move.
Natural language processing - Google translator is an example of natural
language processing where we can interact with the computer and change the human
spoken natural language in different human spoken language.
Vision systems - Face recognition is an example of a vision system where
computers identify different visual inputs p
ut on the computer. The office attendance system is widely used to recognize
different staff in the office to register in and out time.
Speech Recognition - Google audio translator is an example of an intelligent
system which are capable to transform audio track in form of sentence. Nowadays
expert speech recognition systems are capable
to handle changes in a human tone, bac
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
Building an AI App: A Comprehensive Guide for BeginnersChristopherTHyatt
"Discover the steps to create your own AI app: Choose a framework, define your app's purpose, collect and prepare data, train the model, integrate a user-friendly interface, and deploy successfully."
The power and potential of artificial intelligence cannot be overstated. It has transformed how we interact with technology, from introducing us to robots that can perform tasks with precision to bringing us to the brink of an era of self-driving vehicles and rockets. And this is just the beginning. With a staggering 270% growth in business adoption in the past four years, it has been clear that AI is not just a tool for solving mathematical problems but a transformative force that will shape the future of our society and economy.
Artificial Intelligence (AI) has become an increasingly common presence in our lives, from robots that can perform tasks with precision to autonomous cars that are changing how we travel. It has become an essential part of everything, from large-scale manufacturing units to the small screens of our smartwatches. Today, companies of all sizes and industries are turning to AI to improve customer satisfaction and boost sales. AI is the next big thing, making its way into the inner workings of Fortune 500 companies to help them automate their business processes. Investing in AI can be beneficial for businesses looking to stay competitive in a fast-paced business world.
This step-by-step guide will show you how to build and use an AI app. Whether you are a researcher, business owner or just curious about AI technology, these instructions will help you navigate the steps of creating an AI system that can transform your industry.
Artificial intelligence (AI) is a field of computer science that focuses on solving cognitive programs associated with human intelligence, such as pattern recognition, problem-solving and learning. AI refers to the use of advanced technology, such as robotics, in futuristic scenarios.
This presentation gives you a broad overview of Artificial Intelligence. It explains briefly the technologies and concepts that fall under the domain of AI.
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
Introduction–Definition - Future of Artificial Intelligence – Characteristics of Intelligent Agents– Typical Intelligent Agents – Problem Solving Approach to Typical AI problems.
Building an AI App: A Comprehensive Guide for BeginnersChristopherTHyatt
"Discover the steps to create your own AI app: Choose a framework, define your app's purpose, collect and prepare data, train the model, integrate a user-friendly interface, and deploy successfully."
The power and potential of artificial intelligence cannot be overstated. It has transformed how we interact with technology, from introducing us to robots that can perform tasks with precision to bringing us to the brink of an era of self-driving vehicles and rockets. And this is just the beginning. With a staggering 270% growth in business adoption in the past four years, it has been clear that AI is not just a tool for solving mathematical problems but a transformative force that will shape the future of our society and economy.
Artificial Intelligence (AI) has become an increasingly common presence in our lives, from robots that can perform tasks with precision to autonomous cars that are changing how we travel. It has become an essential part of everything, from large-scale manufacturing units to the small screens of our smartwatches. Today, companies of all sizes and industries are turning to AI to improve customer satisfaction and boost sales. AI is the next big thing, making its way into the inner workings of Fortune 500 companies to help them automate their business processes. Investing in AI can be beneficial for businesses looking to stay competitive in a fast-paced business world.
This step-by-step guide will show you how to build and use an AI app. Whether you are a researcher, business owner or just curious about AI technology, these instructions will help you navigate the steps of creating an AI system that can transform your industry.
Artificial intelligence (AI) is a field of computer science that focuses on solving cognitive programs associated with human intelligence, such as pattern recognition, problem-solving and learning. AI refers to the use of advanced technology, such as robotics, in futuristic scenarios.
This presentation gives you a broad overview of Artificial Intelligence. It explains briefly the technologies and concepts that fall under the domain of AI.
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
leewayhertz.com-How to build an AI app.pdfrobertsamuel23
The power and potential of artificial intelligence cannot be overstated. It has transformed
how we interact with technology, from introducing us to robots that can perform tasks
with precision to bringing us to the brink of an era of self-driving vehicles and rockets
In today's tech-driven world, the integration of artificial intelligence (AI) into applications has become increasingly prevalent. From personalized recommendations to intelligent chatbots, AI enhances user experiences and optimizes processes. However, building an AI app can seem daunting to those unfamiliar with the process. Fear not! This guide aims to demystify the journey, offering step-by-step insights into how to build an AI app from scratch.
Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction. AI is a branch of computer science that deals with creating machines or software that can perform tasks that would typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI technology can be divided into two categories: rule-based and self-learning. Rule-based AI follows a set of predefined rules, while self-learning AI uses techniques such as machine learning and deep learning to improve its performance over time. Applications of AI technology include self-driving cars, virtual assistants, and image recognition.
What is artificial intelligence Definition, top 10 types and examples.pdfAlok Tripathi
What is artificial intelligence?
Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods.
Definition of artificial intelligence
Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does artificial intelligence (AI) work?
As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers.
Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media.
Artificial intelligence programming focuses on cognitive skills such as:
• Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task.
• Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result.
• Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible.
• Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas.
Differences between AI, machine learning and deep learning
AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea
What Is Artificial Intelligence,How It Is Used and Its Future.pdfMaazUmar3
What Is Artificial Intelligence,How It Is Used in now days and what is Its Future that help the humans also contain full history of artificial intelligence.
Artificial intelligence can be defined as the branch of computer science that is concerned with automation of computer system in an intelligent manner as like as humans.
Artificial Intelligence focuses on developing computer programs to solve complex problems and process.
What humans can do, now can be performed by machines too just, because of artificial intelligence.
AI is used because, it saves a whole lot of time and manpower.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
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.
leewayhertz.com-How to build an AI app.pdfrobertsamuel23
The power and potential of artificial intelligence cannot be overstated. It has transformed
how we interact with technology, from introducing us to robots that can perform tasks
with precision to bringing us to the brink of an era of self-driving vehicles and rockets
In today's tech-driven world, the integration of artificial intelligence (AI) into applications has become increasingly prevalent. From personalized recommendations to intelligent chatbots, AI enhances user experiences and optimizes processes. However, building an AI app can seem daunting to those unfamiliar with the process. Fear not! This guide aims to demystify the journey, offering step-by-step insights into how to build an AI app from scratch.
Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction. AI is a branch of computer science that deals with creating machines or software that can perform tasks that would typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI technology can be divided into two categories: rule-based and self-learning. Rule-based AI follows a set of predefined rules, while self-learning AI uses techniques such as machine learning and deep learning to improve its performance over time. Applications of AI technology include self-driving cars, virtual assistants, and image recognition.
What is artificial intelligence Definition, top 10 types and examples.pdfAlok Tripathi
What is artificial intelligence?
Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods.
Definition of artificial intelligence
Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does artificial intelligence (AI) work?
As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers.
Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media.
Artificial intelligence programming focuses on cognitive skills such as:
• Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task.
• Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result.
• Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible.
• Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas.
Differences between AI, machine learning and deep learning
AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea
What Is Artificial Intelligence,How It Is Used and Its Future.pdfMaazUmar3
What Is Artificial Intelligence,How It Is Used in now days and what is Its Future that help the humans also contain full history of artificial intelligence.
Artificial intelligence can be defined as the branch of computer science that is concerned with automation of computer system in an intelligent manner as like as humans.
Artificial Intelligence focuses on developing computer programs to solve complex problems and process.
What humans can do, now can be performed by machines too just, because of artificial intelligence.
AI is used because, it saves a whole lot of time and manpower.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
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.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
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
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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.
"Protectable subject matters, Protection in biotechnology, Protection of othe...
What is artificial intelligence
1. What is artificial intelligence (ai) everything in
one place?
Artificial intelligence (ai) is a wide-ranging branch of computer science concerned
with building smart machines capable of performing tasks
Artificial intelligence definition(ai)
What is artificial intelligence approach?
Artificial intelligence Applications and Artificial intelligence examples
Top 5 artificial intelligence movie
Artificial intelligence course
Artificial intelligence in medicine
Artificial intelligence vs machine learning
Artificial intelligence agents and Environment
Agent Terminology
The problem the agent solves is characterized by
Characteristics of Intelligent Agent
Simple reflex agents
Model-based reflex agents
Goal-based agents
Utility-based agents
2. More
Jobs
Artificial intelligence(ai) definition
Artificial intelligence def:
● Artificial intelligence(ai) is a branch of engineering in which we develop an
intelligent computer program. In other words, ai is a way of changing computer
behavior to think and act like a human.
● In Artificial intelligence(ai), we study human behavior on different problems, how
humans learn and plan to solve a problem in his way. Translating human thought
and developing intelligent software is the final goal in Artificial intelligence. Can a
machine think and behave as humans do? The development of Artificial intelligence
started to find a solution. People started to develop an intelligent program that can
act like a human.
One or a combination of multiple branches can be used to make an intelligent system
that can act like a human.
4. ● The volume of knowledge is huge, and difficult to manage and store on a computer.
● Knowledge is not organized and well-formatted. For example, doctors write a
prescription on sample paper which is difficult to store on a computer. That’s why we
need an intelligent system to handle it.
● The nature of knowledge is changing constantly. The artificial intelligence (ai)
approach is a way to organize and use the knowledge smartly in such a way that -
● It should be understood by the people who provide it. It should be editable and
useful for the future.
Artificial intelligence(ai) Applications and
Artificial intelligence examples
5. Gaming - Look at computer games such as chess where machines think many
possible combinations/patterns in playing chess move.
Natural language processing - Google translator is an example of natural
language processing where we can interact with the computer and change the human
spoken natural language in different human spoken language.
Vision systems - Face recognition is an example of a vision system where
computers identify different visual inputs p
ut on the computer. The office attendance system is widely used to recognize
different staff in the office to register in and out time.
Speech Recognition - Google audio translator is an example of an intelligent
system which are capable to transform audio track in form sentence. Nowadays
expert speech recognition systems are capable
to handle change in a human tone, background noise, etc.
Handwriting Recognition - There is
6. much software which can read and understand human written text written by a
human on paper and able to convert into editable text which computer can
understand.
Artificial intelligence(ai) movie -
The top 20 artificial intelligence(ai) films - in pictures (Click here)
Top 5 artificial intelligence(ai) movie
Films educate people and spread ideas in ways a paperback book does today, and
they serve as a perfect medium to learn about an idea or dive into a topic with your
head first.
● Ex Machina
● 1968 sci-fi classic 2001: A space Odyssey
● Metropolis
● HER
● WAL -E
Artificial intelligence course
The main goal of this course is to familiarize you with all aspects of AI so that you can
start your career as an artificial intelligence engineer. A few of the many
topics/modules that you will learn in the program are:
● Basics of Deep Learning techniques
● Understanding artificial neural networks
7. ● Training a neural network using the training data
● Convolutional neural networks and its applications
● TensorFlow and Tensor processing units
● Supervised and unsupervised learning methods
● Machine Learning using Python
● Applications of Deep Learning in image recognition, NLP, etc.
● Real-world projects in recommender systems, etc.
Click here to learn more
Artificial intelligence in medicine
Artificial Intelligence Medical looks for something new in the content of the method
and / or theory of submitted papers. Such a kind of innovation should be embraced
especially in the area of
AI and Computer Science. Methodology papers deal with the
suggestion of specific strategies and related approaches to solving specific scientific
problems in specific fields. They should demonstrate, usually through experimental
tests, how the proposed method can be used medically, human-centered medical
biology, and health care, respectively. They should also provide comparisons with
other suggestions, and discuss openly new things. Theater papers focus on basic,
common and formal AI topics and should reflect the expected results of the novel
solution proposed in a particular medical or health field.
● AI-based clinical decision-making;
● Medical information engineering;
● Information-based systems and agents;
● Computational intelligence in bio- and clinical medicine;
● Intelligent and process information systems in health care and
medicine;
● Considering natural language in medicine;
8. ● Data analysis and biomedical decision support mines;
● New computer platforms and biomedicine models;
● Intelligent exploitation of various data sources aimed at supporting
decision-based clinical activities and in-depth data;
● Smart tools and tools;
● Automated thinking and meta-reasoning in medicine;
● Mechanical studies, human-centered medical biology, and health care;
● AI and medical data science, human-centered medical biology, and
health care;
● AI-based modeling and management of health care methods and
clinical guidelines;
● AI-based human models and programs;
● AI in medical and health education;
● Methodological, philosophical, ethical, and social problems of AI in
health care, human-centered medical biology, and medicine.
Artificial intelligence vs machine learning
Artificial Intelligence (AI) and machine learning (ML) words have created a lot of
talk in the technological world, and with good reason. They help organizations
streamline processes and retrieve data to make better business decisions. They
improve almost every industry by helping them to become more efficient, and they
become an important technology for businesses to maintain competitiveness.
These technologies are committed to skills such as facial recognition features on
smartphones, personalized online shopping, visual assistants at home, and health
diagnostics.
The need for these technologies — and the professionals who have them — is
growing. According to research firm Gartner, the average number of AI projects in
the organization is expected to triple over the next two years.
9. This strong growth creates problems for organizations. They report that their top
challenges with this technology include a lack of skills, difficulty understanding AI
application situations, and concerns about data scope or quality.
AI and ML, which have been the subject of science fiction for decades, are
commonplace in business today. And while these technologies are closely related, the
differences between them are significant. Here's a look at AI and ML, high
performance and skills, and how you can get into this thriving industry.
Artificial intelligence agents and Environment
An AI system is composed of
● an agent
● and its environment
● The agents act in their environment.
● The environment may contain other agents.
What is Agent?
10. An agent is anything that can perceive its environment through sensors and acts
upon that environment through effectors.
Three types of agents:
● Human
● Robotic
● Software
Human Agents
● Sensors?
● Effectors?
Robotic Agents
● Sensors?
● Effectors?
Software Agents
11. ● Sensors?
● Effectors?
● A human agent has sensory organs such as eyes, ears, nose, tongue and
skin parallel to the sensors, and other organs such as hands, legs,
mouth, for effectors.
● A robotic agent replaces cameras and infrared range finders for the
sensors, and various motors and actuators for effectors.
● A software agent has encoded bit strings as its programs and actions.
12. Agent Terminology
● Performance measure of agent - It is the criteria, which determines how
sucessful an agent is.
● Behaviour of agent - It is the action that agent performs after any given
sequence of percepts.
● Percepts - It is agent's perceptual inputs at a given instance.
● Percept sequence - It is the history of all that an agent has perceived till
date.
● Agent function - It is a map from the percept sequence to an action.
Rationality
● Rationality is nothing but status of being reasonable, sensible, and
having good sense of judgment.
13. ● Rationality is concerned with expected actions and results depending
upon what the agent has perceived.
● Performing actions with the aim of obtaining useful information is an
important part of rationality
Ideal Rational Agent
An ideal rational agent is the one, which is capable of doing expected actions to
maximize its performance measure, on the basis of -
● Its percept sequence
● Its built-in knowledge base
Rationality of an agent depends on following factors -
● The performance measures, which determine the degree of success.
● Agent's percept sequence till now.
● The agent's prior knowledge about the environment
A rational agent always performs right action, where the right action means the
action that causes the agent to be most successful in the given percept sequence.
14. The problem the agent solves is characterized by
Performance Measure,
● Environment
● Actuators,
● and Sensor (PEAS) PEAS P-Performance Measure, E-Environment,
A-Actuators, S-Sensor
To design a rational agent we need to specify a task environment
● A problem specification for which the agent is a solution
Intelligent agent
An intelligent agent refers to an autonomous entity which acts, directing its activity
towards achieving goals, upon an environment using observation through sensors
and consequent actuators. Intelligent agents may also learn or use knowledge to
achieve their goals. They may be very simple or very complex.
A reflex machine, such as a thermostat, is considered an example of an intelligent
agent.
Intelligent agents are applied as automated online assistants, where they function to
perceive the needs of customers in order to perform.
15. Intelligent agents are also closely related to software agents. In computer science, an
intelligent agent is a software agent that has some intelligence, for example,
autonomous programs used for operator assistance or data mining are also called
"intelligent agents"
Characteristics of Intelligent Agent-
● Accommodate new problem solving rules incrementally
● Adapt online and in real time
● Are able to analyze themselves in terms of behavior, error and success.
● Learn and improve through interaction with the environment
● Learn quickly from large amounts of data
● Have memory-based exemplar storage and retrieval capacities
● Have parameters to represent short and long term memory, age,
forgetting, etc.
Classes of agent
● Simple reflex agents
● Model-based reflex agents
● Goal-based agents
● Utility-based agents
● Learning agents
16. Simple reflex agents
Simple reflex agents act only on the basis of the current percept, ignoring the rest of
the percept history. The agent function is based on the condition-action rule: "if
condition, then action".
This agent function only succeeds when the environment is fully observable. Some
reflex agents can also contain information on their current state which all
ows them to disregard conditions whose actuators are already triggered.
Example - The vacuum promises to sense dirt and debris on your floors and clean
those areas accordingly. This is an example of a simple reflex agent that operates on
the condition (dirty floors) to initiate an action (vacuuming).
Model-based reflex agents
They use a model of the world to choose their actions. They maintain an internal
state.
● Model, the knowledge about how the things happen in the world.
● Internal State, It is a representation of unobserved aspects of current
state depending on percept history.
17. Example - Some examples of items with model-based agents aboard include the
Roomba vacuum cleaner and the autonomous car known as Waymo. Both interact
with their environments by using what they know - an internal model of the world -
and their on-board sensors as well, to make moment-to-moment decisions about
their actions.
Goal-based agents
● They choose their actions in order to achieve goals. Goal based
approach is more flexible than reflex agent since the knowledge
supporting a decision is explicitly modeled, therefore allowing for
changes.
● It is the description of desirable situations.
Example - Google's Waymo driverless cars are good examples of a goal-based agent
when they are programmed with an end destination, or goal, in mind. The car will
then ''think'' and make the right decisions in order to deliver the passenger where
they intended to go.
Utility-based agents
18. They choose actions based on a preference (utility) for each state.
Goals are inadequate when -
● There are conflicting goals, out of which only few can
be achieved.
● Goals have some uncertainty of being achieved and you need to weight
likelihood of success against the importance of a goal
Utility-based agents
Think about it this way: A goal-based agent makes decisions based simply on
achieving a set goal. You want to travel from Los Angeles to San Diego, the
goal-based agent will get you there. San Diego is the goal and this agent will map the
right path to get you there. But, if you're traveling from Los Angeles to San Diego and
encounter a closed road, the utility-based agent will kick into gear and analyze other
routes to get you there, selecting the best option for maximum utility.
In this regard, the utility-based agent is a step above the goal-based agent.
Prior to utility based agents, intelligent have had only
one goal: clean the floor, turn the air conditioner on, route to the destination, and so
forth. With utility based agents, the intelligent agent is presented with multiple good
options it must choose from. This makes the utility-based agent more agile and
complex since it has some decision making capability.
19. You've been planning a road trip for a few weeks and the big day is finally here. You
get everyone loaded into the car, fire up the GPS and set off in the direction of your
weekend adventure. Two hours into your travel, you approach bumper to bumper
traffic. It appears as though there might be a car accident up ahead. Automatically,
your GPS starts to look for a new route around the hazard, and you are able to exit
the highway and navigate around the traffic pile-up.
UBER Re-Routing is the best example of utility based agents.
Learning agents
Learning has the advantage that it allows the agents to initially operate in unknown
environments and to become more competent than its initial knowledge alone might
allow. The most important distinction is between the "learning element", which is
responsible for making improvements, and the "performance element", which is
responsible for selecting external actions.
The learning element uses feedback from the "critic" on how the agent is doing and
determines how the performance element should be modified to do better in the
future. The performance element is what we have previously considered to be the
entire agent: it takes in percepts and decides on actions.
The last component of the learning agent is the "problem generator". It is responsible
for suggesting actions that will lead to new and informative experiences.
The human is an example of a learning agent. For example, a human can learn to ride
a bicycle, even though, at birth, no human possesses this skill.