Artificial intelligence (AI) is defined as making computers do intelligent tasks like humans. It works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The Turing test tests a machine's ability to demonstrate intelligence comparable to a human. There are different types of AI like expert systems, machine learning, and intelligent agents. While AI can process large amounts of data fast without human limitations, it lacks common sense, intuition, and creativity that humans possess. Overall, AI aims to supplement natural human intelligence by performing tasks through machines to reduce human labor and mistakes.
A seminar ppt fully imformative about ai.1. Artificial Intelligence<br />Shannon Baker, Laura Paviglianiti, Tim Stuart, Harrison Baker<br />
2. What is Artificial Intelligence?<br />
3. The intelligence of machines and the branch of computer science that aims to create it<br />"the study and design of intelligent agents”<br />No single goal of artificial intelligence<br />Some say it’s putting the human mind into computers<br />What is intelligence?<br />The computational part of the ability to achieve goals in the world<br />We do not yet fully understand what intelligence consists of<br />
4. 1941:Development of the electronic computer<br /><ul><li>Some trace the origin to John Atanasoff and Clifford Berry at Iowa State University
5. Required large, separate </li></ul>air-conditioned rooms<br /><ul><li>Required separate </li></ul>configuration of <br />thousands of wires<br /><ul><li>Data fed into system </li></ul>By punched cards<br />
6. First Commercial, Stored Program Computer<br />Made job of entering a program easier<br />Advancements in computer theory computer science <br />(and eventually <br />to AI)<br />Invention of a <br />means of processing <br />data makes AI <br />possible<br />
7. Dartmouth Conference<br />John McCarthy (“father of AI”) organizes conference<br />A month of brainstorming in VT<br />Talent and expertise of others interested in machine intelligence<br />Biggest gain: field <br />now called<br />Artificial Intelligence<br />
8. LISP Language Developed<br />McCarthy announces new development: LISP language<br />Still used today<br />LISt Processing – <br />language of <br />choice <br />among AI <br />developers<br />
A seminar ppt fully imformative about ai.1. Artificial Intelligence<br />Shannon Baker, Laura Paviglianiti, Tim Stuart, Harrison Baker<br />
2. What is Artificial Intelligence?<br />
3. The intelligence of machines and the branch of computer science that aims to create it<br />"the study and design of intelligent agents”<br />No single goal of artificial intelligence<br />Some say it’s putting the human mind into computers<br />What is intelligence?<br />The computational part of the ability to achieve goals in the world<br />We do not yet fully understand what intelligence consists of<br />
4. 1941:Development of the electronic computer<br /><ul><li>Some trace the origin to John Atanasoff and Clifford Berry at Iowa State University
5. Required large, separate </li></ul>air-conditioned rooms<br /><ul><li>Required separate </li></ul>configuration of <br />thousands of wires<br /><ul><li>Data fed into system </li></ul>By punched cards<br />
6. First Commercial, Stored Program Computer<br />Made job of entering a program easier<br />Advancements in computer theory computer science <br />(and eventually <br />to AI)<br />Invention of a <br />means of processing <br />data makes AI <br />possible<br />
7. Dartmouth Conference<br />John McCarthy (“father of AI”) organizes conference<br />A month of brainstorming in VT<br />Talent and expertise of others interested in machine intelligence<br />Biggest gain: field <br />now called<br />Artificial Intelligence<br />
8. LISP Language Developed<br />McCarthy announces new development: LISP language<br />Still used today<br />LISt Processing – <br />language of <br />choice <br />among AI <br />developers<br />
What really is Artificial Intelligence about? Harmony Kwawu
AI systems are growing. But what is AI, where did the idea behind it come from, what is intelligence, how does expert level intelligence work, and perhaps most importantly, would AI systems eventually make human beings redundant?
9 Examples of Artificial Intelligence in Use TodayIQVIS
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
What really is Artificial Intelligence about? Harmony Kwawu
AI systems are growing. But what is AI, where did the idea behind it come from, what is intelligence, how does expert level intelligence work, and perhaps most importantly, would AI systems eventually make human beings redundant?
9 Examples of Artificial Intelligence in Use TodayIQVIS
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
about the artificial intelligence how its work future expectations and real life examples , and also whats is machine learning. how is different with human intelligence.
Describe what is Artificial Intelligence. What are its goals and Approaches. Different Types of Artificial Intelligence Explain Machine learning and took one Algorithm "K-means Algorithm" and explained
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
2. What is Intelligence???
Intelligence is the ability to learn
about, to learn from, to understand
about, and interact with one’s
environment.
Intelligence is the faculty of
understanding
Intelligence is not to make no
mistakes but quickly to understand
how to make them good
(German Poet)
3. What Is Artificial Intelligence???
Artificial Intelligence (AI) is
usually defined as the science
of making computers do
things that require
intelligence when done by
humans.
A.I is the study of ideas that
enable computers to be
intelligent
4. How Does AI Works??
Artificial intelligence works
with the help of
•
Artificial Neurons
(Artificial Neural
Network)
And
•
Scientific theorems(IfThen Statements, Logics)
5. What is Neural Networking??
Artificial neural networks are
composed of interconnecting
artificial neurons (programming
constructs that mimic the
properties of biological neurons).
6. Turing Test
Imitation Game Test!!!!
The Turing test is a test of a machine's
ability to demonstrate intelligence
9. Examples Of Artificial Intelligence
Expert Systems!!
An expert system is a computer program that is designed to
hold the accumulated knowledge of one or more domain
experts
It reasons with knowledge of some specialist subject with a
view to solving problems or giving advice
They are tested by being placed in the same real world
problem solving situation
10. Applications of Expert Systems
PUFF:
Medical system
for diagnosis of respiratory
conditions
PROSPECTOR:
Used by geologists to identify
sites for drilling or mining
11. Applications of Expert Systems
DENDRAL: Used to identify the
structure of chemical
compounds. First used in 1965
LITHIAN: Gives advice to
archaeologists examining stone
tools
12. Machine Learning!
Machine learning is a scientific discipline concerned with
the design and development of algorithms that allow
machines to mimic human intelligence.
13. There are Three ways that A.I learns
Failure Driven Learning
Learning by being Told
Learning by Exploration
14. Resemblance To Human Mind....
The special ability of artificial intelligence is to reach a
solution based on facts rather than on a preset series of steps
—is what most closely resembles the thinking function of
the human brain
16. Human Intelligence VS Artificial Intelligence
Pros
Human Intelligence
• Intuition, Common sense,
Judgement, Creativity,
Beliefs etc
• The ability to demonstrate
their intelligence by
communicating effectively
• Plausible Reasoning and
Critical thinking
Artificial Intelligence
• Ability to simulate human
behavior and cognitive
processes
• Capture and preserve human
expertise
• Fast Response. The ability
to comprehend large
amounts of data quickly.
17. Human Intelligence VS Artificial Intelligence
Cons
Human Intelligence
• Humans are fallible
• They have limited
knowledge bases
• Information processing of
serial nature proceed very
slowly in the brain as
compared to computers
• Humans are unable to retain
large amounts of data in
memory.
Artificial Intelligence
• No “common sense”
• Cannot readily deal with
“mixed” knowledge
• May have high development
costs
• Raise legal and ethical
concerns
18. Human Intelligence VS Artificial Intelligence
We achieve more than we know. We know more than we understand.
We understand more than we can explain (Claude Bernard, 19th C
French scientific philosopher)
19. Artificial Intelligence VS Conventional Computing
Artificial Intelligence
• AI software uses the
techniques of search and
pattern matching
• Programmers design AI
software to give the
computer only the problem,
not the steps necessary to
solve it
Conventional Computing
• Conventional computer
software follow a logical
series of steps to reach a
conclusion
• Computer programmers
originally designed software
that accomplished tasks by
completing algorithms
20. Psychology And Artificial intelligence
The functionalist approach of AI views the mind as a representational
system and psychology as the study of the various computational
processes whereby mental representations are constructed, organized,
and interpreted.
(Margaret Boden's essays written between 1982 and 1988)
21. Artificial intelligence & Our society
Why we need AI??
To supplement natural intelligence for e.g we are building
intelligence in an object so that it can do what we want it to do, as for
example-- robots, thus reducing human labour and reducing human
mistakes
22. •My Perspective
For Humans Intelligence is no more than
TAKING a right decision at right time
And
For Machines Artificial Intelligence is no
more than CHOOSING a right decision at
right time
I think Artificial intelligence is the Second
intelligence ever to exist
In this test Searle says to imagine a Man no knowledge of chinese is trapped in a room. He is passed a paper with some chinese writing. He finds a large batch of “Chinese writing” plus “a second batch of Chinese script" and "a set of rules" in English "for correlating the second batch with the first batch. The man follows the instructions and produces a result in chiese language. He himself has no knowledge of the language but gets so good in following instructions that the person standing outside starts to believe that this man is fluent in chinese
What Searle describes is a system that produces intelligent, meaningful output, in the absence of true understanding. If you accept this counter-example, then the Turing Test is doomed. The Chinese Room would pass the Turing test, even though it lacks understanding and intelligence.
The important aspects of human intelligence seem to following the use of intuition, common sense, judgment, creativity, goal directedness, plausible reasoning, knowledge and beliefs.
Meaning of intelligence is not human brain’s information processing ability but the ability of humans to demonstrate their intelligence by communicating effectively.