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The document discusses the building blocks of artificial intelligence including natural language processing, planning, speech, expert systems, machine learning, robotics, vision, and connectionist systems. It then discusses applications of AI in healthcare, sales and marketing, fintech, and automotive. The future of AI and maintaining relevance for non-technical users and professionals is also discussed. Key metrics and initiatives for an AI-focused publication are presented, including average users, time spent reading, demographics, and most popular days and times. Advice is given around managing multiple channels, focusing on engaged readers, understanding audiences, automating tasks, and learning to code.
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AI is a collection of quantitative approaches applied to a variety of data sources to generate artificially intelligent agents.
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The Ladder of Inference, described in this presentation helps practitioners, users, and stakeholders to envision and design Rational Agents and new business processes in which the agents will operate.
I have elaborated an example using the Ladder of Inference to design a rational agent for bodily injury claims arbitration.
I credit Stuart Russell and Peter Norvig for the background on AI and Rational Agents. The Ladder of Inference was first presented by Chris Argyris. https://lnkd.in/eNUevZm
Some of this material was presented during a webinar for members of the International Institue for Analytics @iianalytics @billfranksga
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The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open
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professionals and researchers in all fields of AI for researchers, programmers, and software and
hardware manufacturers. The journal also aims to publish new attempts in the form of special
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- Early expert systems included DENDRAL for chemical analysis and MYCIN for medical diagnosis. Expert systems were pioneered in the 1970s and 1980s.
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This document contains an agenda and information about an upcoming TechData MeetUp on artificial intelligence research. The agenda includes an introduction, discussions on the benefits of a Ph.D. in computer science, hot topics in AI, and must-have skills for AI research. It also covers how to publish research results. The document provides background on the speaker, Nigar Alışzadə, and her education and work experience in computer science and AI research. It also answers common questions about getting a Ph.D. in computer science and the job opportunities after. Additional sections define artificial intelligence and various AI fields like machine learning, neural networks, computer vision, natural language processing, the internet of things, and recommendation engines.
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"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 A_Z of Artificial Intelligence Types and Principles_1687569150.pdf
This document provides an overview of various types and principles of artificial intelligence. It contains 27 different types of AI categorized alphabetically from A to Z. For each type, it provides a brief 1-2 sentence definition of what the type is and potential applications. The types covered include ambient AI, adaptive AI, Bayesian AI, big data AI, conversational AI, creative AI, deep learning, and others. It aims to be an introductory guide to the different areas and techniques within the field of artificial intelligence.
Artificial intelligence
Artificial Intelligence in everyday,Artificial Intelligence capabilities,Artificial Intelligence applications,Artificial Intelligence barriers Artificial Intelligence->Machine Learning->Deep learning,Perceptron, Few questions
Artificial Intelligence Bill of Rights: Impacts on AI Governance
Artificial Intelligence (AI) is increasingly being used to make decisions that impact individuals and society as a whole. As the use of AI continues to grow, there is a need to establish guidelines and regulations to ensure that it is being used responsibly and ethically.
In October 2022, the White House Office of Science and Technology Policy (OSTP) published a Blueprint for an AI Bill of Rights (“Blueprint”), which shared a nonbinding roadmap for the responsible use of artificial intelligence (AI). In this webinar, we will examine the key principles that underpin the bill, such as transparency, accountability, and fairness, and discuss how they can help ensure that the use of AI aligns with the values and rights of individuals.
Artificial Intelligence (AI): A Brief Overview
What is Artificial Intelligence (AI)?
Artificial intelligence is quintessentially the development of intelligent systems via AI programs and intelligent software development.
The idea is to mimic the functioning of the human brain for cognitive behavior, speech recognition, natural language processing, psychology linguistics, etc.
AI research and AI development is the future of the technological revolution in computer science and the term was introduced by John Mccarthy.
Why Artificial Intelligence (AI)?
AI is all about making intelligent machines that would reduce human intervention and make life easier for us.
Artificial intelligence stands a ruling chance to be an indispensable part of all industry parallels.
Speaking of making expert systems and technological advancements, AI is a part of Big data, cloud-systems (IoT), the interaction of intelligent robots, etc.
AI has also made its way into turning science fiction with driving cars a reality by revolutionizing the manufacturing of autonomous vehicles.
Although the development seems much far-fetched for a layman, it is much prevalent and making strides into mainstream lifestyles.
About Ai.pptx
The document provides an introduction to artificial intelligence (AI) with the following key points:
1) AI enables machines to perform human-like tasks through techniques like machine learning, deep learning, and natural language processing.
2) There are different types of AI ranging from narrow AI that focuses on specific tasks to general AI that aims for human-level intelligence.
3) The future of AI is expected to include increased adoption across industries, more personalized experiences, and continued work to address ethical concerns regarding privacy, bias, and jobs.
What is artificial intelligence
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
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Artificial Intelligence & Group Blog
- 3. The Reality of AI
- 4. Building Blocks 1 2 3 4 5 6 7 8 Natural Language Processing Ability of a computer to understand and retrieve data from human speech, and translate to other languages if necessary Planning Ability to create an optimal plan to automate actions that will result in the desired goal Speech Ability understand, write or say back the outcome of the decision or specific operation Expert Systems Applications with a knowledge base (from experts), an inference engine, and a user interface to facilitate training a computer Machine Learning Ability to make a decision based on data and patterns. Use of Algorithms vs code. Predictive Robotics Ability to resemble human physical functions, but better, safer and more consistent Vision Ability to extract Data from images and use them as reference for future decisions Connectionist Systems Ability to learn by example (just like human brains) to solve complex problems based on data being “fed”. Unpredictable
- 5. INSIDE AI CODE STATISTICS ENGINEERING
- 6. AI as a Tool Process Paradigm Product Position ● Personalized Solutions ● Optimized Suggestions ● Automate Tasks ● Instant Service ● Caring and Smart ● Consumer’s Best Friend ● Speed and Consistency ● Integration ● Decision-Making ● Forecasting ● Focus on Tech ● Industry Innovator ● Consumer Geek
- 8. AI in Play HEALTHCARE SALES & MARKETING FINTECH AUTOMOTIVE ● Mining Medical Record ● Diagnostics and Treatment Plans ● Online Consultations ● Deep Genomics ● Drug Creation ● Fraud Detection ● Financial Advisors ● Asset Management ● Lending and Credit ● Forecasting ● Chatbots ● Lead Identification ● Personalized Campaigns ● Market Research ● Assembly Robots ● Self-Driving Cars ● Driver Assistants ● Process Optimization(with IOT)
- 9. AI Race
- 10. The Future of AI
- 11. By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.” – Eliezer Yudkowsky, Silicon Valley AI autodidact
- 12. Value Proposition DIVERSE Non-Techie RESOURCE RELEVANT Writers from seven different countries DIVERSITY Always give advice, ideas or tools to apply to your business. RESOURCES Share must-know trends and innovations in the world of AI RELEVANCE Write articles for non-techie professionals who want to understand the techie world. NON-TECHIE *with love and brains*
- 13. RESULTS: ● Average of 55+ Users Per Week ● Spend 1.7 minutes reading (mobile) ● Mainly Male, Ages 25-34 ● Top Classification: ○ Business Professionals ○ Technophiles ○ Creatives ● Top Interests: ○ Travel ○ Employment ● Located in Spain, English Language
- 14. Channels
- 15. Key Metrics Most Popular: Sundays & Fridays, 10am & 9pm *Metrics for last week don’t include video views
- 16. Key Initiatives
- 17. Key Initiatives
- 18. Advice Use only as many channels as you can manage Don’t be afraid to lose users for people who actually read Always pay attention to who is reading and why Learn to code & automate tasks for better management