The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
what is the role of AI in this world..
Introducing the Artificial Intelligence to the world...
How the technology takes place in world to make the world better...
AI introduce the new world with the help of new technology...
Digital world Digital Networking..
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
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 is the role of AI in this world..
Introducing the Artificial Intelligence to the world...
How the technology takes place in world to make the world better...
AI introduce the new world with the help of new technology...
Digital world Digital Networking..
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
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
Power Point Presentation on Artificial Intelligence Anushka Ghosh
Its a Power Point Presentation on Artificial Intelligence.I hope you will find this helpful. Thank you.
You can also find out my another PPT on Artificial Intelligence.The link is given below--
https://www.slideshare.net/AnushkaGhosh5/ppt-presentation-on-artificial-intelligence
Anushka Ghosh
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
The slide helps to get an insight on the concepts of Artificial Intelligence.
The topics covered are as follows,
* Concept of AI
* Meaning of AI
* History of AI
* Levels of AI
* Types of AI
* Applications of AI - Agriculture, Health, Business (Emerging market), Education
* AI Tools and Platforms
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Power Point Presentation on Artificial Intelligence Anushka Ghosh
Its a Power Point Presentation on Artificial Intelligence.I hope you will find this helpful. Thank you.
You can also find out my another PPT on Artificial Intelligence.The link is given below--
https://www.slideshare.net/AnushkaGhosh5/ppt-presentation-on-artificial-intelligence
Anushka Ghosh
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
What is AI and how it works? What is early history of AI. what are risks and benefits of AI? Current status and future of AI. General perceptions about AI. Achievement of AI. Will AI be more beneficent or more destructive?
The slide helps to get an insight on the concepts of Artificial Intelligence.
The topics covered are as follows,
* Concept of AI
* Meaning of AI
* History of AI
* Levels of AI
* Types of AI
* Applications of AI - Agriculture, Health, Business (Emerging market), Education
* AI Tools and Platforms
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Presentación sobre inteligencia artificial. Los neofito dueños del sitio quieren hacerse millonarios a costa del esfuerzo de los usuarios. Lo malo es que no le dan ni un solo peso al usuario que sube sus trabajos. Sin embargo ellos les cobra a los demás U$s 100 por mes.
Running head ARTIFICIAL INTELLIGENCE1ARTIFICIAL INTELLIGENCE.docxtoddr4
Running head: ARTIFICIAL INTELLIGENCE 1
ARTIFICIAL INTELLIGENCE 5
Advantages of Artificial Intelligences, Uploads, and Digital Minds
First Article
The first article states that the term artificial intelligence currently impact our lives and civilization. The extents of an artificial intelligence application are different with extensive probabilities. In specific, as of improvement and developments in computer hardware, isolated artificial intelligence algorithm already exceed the abilities of human specialists today. The empire of probable uses of artificial intelligence techniques is vast. Also, this is one of the causes why several corporations have been deeply investing in AI in current years. Google Corporation is constructing self-driving automobiles and cars also has developed ten robotics corporations, Facebook had released a new investigation facility concentrated on AL intelligence.
On the other hand, “Apple has industrialized Siri, Microsoft has constructed Cortana, and Google has developed Deep Mind.” A UK company who long-term objective is to construct a usual AI also has previously displayed wide possibility in engaging at the game of “Go the current world champion.” IBM is investing a wide amount of assets during applying its “Watson reasoning computing system” to the health domain, to economics, also to adapted education. This growth of AI-based services and systems are getting all bends of the globe. As per the article, AI is not regarding computing authority. Intelligent machines and system can also relay on wide amounts of information, to be used to investigate how to make fine decisions.
This information and data originate from all of the people. Over many years, Facebook workers have uploaded 250 billion images. Also they upload around 350 million regularly. The point that a recent AI artificial intelligence can make more precise medical detects than doctors might seem astonishing initially, but it has been accepted that arithmetical implications are greater to medical judgments through human specialists in many situations. Progress and development in AI investigation make it probable to substitute rising amounts of human occupations with many advanced machines (Sotala, 2012).
Artificial and Intelligences and its Role in Near Future.
Second Article
The second article describes that AI knowledge has long past which is constantly and actively growing and modifying. If emphasis on many intelligent agents, that consists devices that observe background also reliant on which take many actions to enhance the chances of success. In the context of a current digitalized domain, AI is the assets of computer programs, machines and systems to achieve the creative and intellectual functions of an individual, self-sufficiently recognize several methods to resolve any issue, be capable of defining conclusions also make decisions. Many AI systems can acquire, which enables people to recover their .
Applications of artificial intelligenceAiman Hafeez
Artificial intelligence and its Application..
--> Definition of Artificial Intelligence And explanation
--> Application of Artificial Intelligence
"Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry."
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. Introduction
Definition
Applications of AI
Advantages and Disadvantages
Growth and Future of AI
Conclusion
Bibliography
3. Intelligence : “The capacity to learn and solve problems.”
Artificial Intelligence : Artificial Intelligence (AI) is the simulation of
human intelligence by machines.
1) The ability to solve problems.
2) The ability to act rationally.
3) The ability to act like humans.
The central principles of Al include :
1) Reasoning, knowledge, planning, learning and communication.
2) Perception and the ability to move and manipulate objects.
3) It is the science and engineering of making intelligent
machines, especially intelligent computer programs
4. Computers with the ability to mimic or duplicate the functions of
the human brain.
Artificial Intelligence is the intelligence of machines and the
branch of computer science which aims to create it.
"The branch of computer science that is concerned with the
automation of intelligent behaviour" (Luger and Stubblefield.
1993).
5.
6. A medical clinic can use AI systems
to organize bed schedules, make a
staff rotation and provide medical
information.
AI has also application in fields of cardiology
(CRG), neurology (MRI), embryology (sonography),
complex operations of internal organs, etc
It also has an application in Image guided surgery
and image analysis and enhancement.
7. Scientists are trying to make the
computer emulate the activities
of the skillful musician.
Composition, performance, music
theory, sound processing are some
of the major areas on which research
in music and AI are focusing on.
Eg : chucks, smartmusic, etc.
8. Many telecommunications companies
make use of heuristic search in the
management of their workforces.
For example BT Group has deployed
heuristic search in a scheduling
application that provides the work
schedules of 20000 engineers.
9. A ROBOT is a mechanical or virtual
artificial agent, usually an electro
mechanical machine that is guided
by a computer program or electronic
circuitry.
Robots can be autonomous or
semi-autonomous.
A robot may convey a sense of
intelligence or thoughts of its own.
10. In the earlier days gaming technology
was not broadened.
Physicist Willy Higinbotham created the
the first video game in 1958.
It was called “Tennis For Tow” and was
oscilloscope.
But, now AI technology has become vast
and standard has also been increased.
For Eg : Sudoku, Fear, Fallout, etc
11. Organize operations, invest in stocks, and manage
properties.
In August 2001, robots beat humans in a simulated
financial trading competition.
Some other applications include loan investigation,
ATM design, safe and fast banking, etc.
12. Credit granting
Information management and retrieval
AI and expert systems embedded in products
Plant layout
Help desk and assistance
Employee performance evaluation
Shipping
Marketing
Warehouse optimization
In space workstation maintainance
Satellite controls
Network developments
Nuclear management
13. Advantages :
More powerful and more
useful computers.
New and improved interfaces.
Solving new problems.
Better handling of
information.
Relieves information
overload.
Conversion of information
into knowledge.
Disadvantages :
Increased costs
Difficulty with software
development - slow and
expensive
Few experienced
programmers
Few practical products have
reached the market as yet.
14. Looking at the features and its wide application we may definitely stick to
artificial intelligence. Seeing at the development of Al is it that the future
world is becoming artificial.
Biological intelligence is fixed, because it is an old, mature paradigm but
the new paradigm of non-biological computation and intelligence is
growing exponentially.
The memory capacity of the human brain is probably of the order often
thousand million binary digits. But most of this is probably used in
remembering visual impressions, and other comparatively wasteful ways.
Hence we can say that as natural intelligence is limited and volatile too
world may now depend upon computers for smooth working.
15. Sophia is a social humanoid robot developed by Hong Kong based
company Hanson Robotics.
Sophia was activated on April 19,2015.
She made her first public appearance at South by Southwest Festival in
mid-March 2016 in United States.
In October 2017 Sophia became a Saudi Arabian citizen, the first robot
to receive citizenship in any country.
16. Since Al is applicable in almost all fields, they become the
needs of our life. It is the reason behind the explosive growth
of AI.
The growth can be divided into two parts based on the
application area and what purpose they serve, they are as
follows:
Growth in positive sense (useful to society)
Growth in negative sense (harmful to society)
17. Till now we have discussed in brief about Artificial Intelligence.
We have discussed some of its principles, its applications, its
achievements etc.
The ultimate goal of institutions and scientists working on Al is to
solve majority of the problems or to achieve the tasks which we
humans directly can't accomplish.
It is for sure that development in this field of computer science
will change the complete scenario of the world. Now it is the
responsibility of creamy layer of engineers to develop this field.