This document provides an overview of artificial intelligence (AI) including:
1. It defines AI as a computer program that acts like a human by converting human intelligence into machine intelligence.
2. It discusses the history of AI from concepts in Greek mythology to modern developments after World War 2.
3. It describes how AI is constructed to mimic the human brain using thousands of transistors to process intelligence like a brain.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
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.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
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.
machines will be capable, within 20 years, of doing any work a man can do." Two years later, MIT researcher Marvin Minsky predicted, "Within a generation ... the problem of creating 'artificial intelligence' will substantially be solved."
(artificial intelligence innovator Herbert Simon.1965
A presentation on Artificial Intelligence which covers definition, introduction , advantages/disadvantages, AI Tree and application of artificial intelligence
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
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
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Artificial Insemination and Veterinary Services in Ethiopia: Ada’a CaseILRI
Presentation by Alemayehu Lemma (Addis Ababa University) to the Ethiopian Fodder Roundtable on Effective Delivery of Input Services to Livestock Development, Addis Ababa, 22 June 2010
machines will be capable, within 20 years, of doing any work a man can do." Two years later, MIT researcher Marvin Minsky predicted, "Within a generation ... the problem of creating 'artificial intelligence' will substantially be solved."
(artificial intelligence innovator Herbert Simon.1965
A presentation on Artificial Intelligence which covers definition, introduction , advantages/disadvantages, AI Tree and application of artificial intelligence
Artificial Intelligence (A.I) and Its Application -SeminarBIJAY NAYAK
this presentation includes the the Basics of Artificial Intelligence and its applications in various Field. feel free to ask anything. Editors are always welcome.
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
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Artificial Insemination and Veterinary Services in Ethiopia: Ada’a CaseILRI
Presentation by Alemayehu Lemma (Addis Ababa University) to the Ethiopian Fodder Roundtable on Effective Delivery of Input Services to Livestock Development, Addis Ababa, 22 June 2010
Elements of artificial Intelligence.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
This presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
Objectives Of Artificial Intelligence.pdfapurvar399
The objectives of Artificial Intelligence (AI) encompass a wide range of goals focused on creating machines that can mimic human intelligence and perform tasks in ways that optimize efficiency, accuracy, and effectiveness. These objectives can be broadly categorized into several key areas:
1. **Automation of Repetitive Tasks**: One primary objective of AI is to automate routine and monotonous tasks. This not only speeds up processes but also reduces the likelihood of human error, leading to more consistent and reliable outcomes. Automation spans various industries, including manufacturing, where robots can perform precise assembly line work, and office environments, where AI-driven software can manage data entry and scheduling.
2. **Data Analysis and Decision Making**: AI systems are designed to handle vast amounts of data, analyze patterns, and make informed decisions based on that data. This capability is crucial in fields like healthcare, where AI algorithms can diagnose diseases from imaging data, and in business, where AI can predict consumer behavior and optimize marketing strategies.
3. **Enhancing Human Capabilities**: AI aims to augment human abilities rather than replace them. For example, AI-powered prosthetics and assistive devices can improve the quality of life for individuals with disabilities, while AI tools in education can provide personalized learning experiences.
4. **Solving Complex Problems**: AI has the potential to address some of the world's most challenging problems by finding solutions that are beyond human cognitive limits. This includes climate modeling to predict and mitigate the effects of climate change, analyzing genetic data to advance personalized medicine, and optimizing energy consumption to make it more sustainable.
5. **Advancements in Robotics**: Robotics, powered by AI, aims to create machines that can assist or take over tasks in environments that are dangerous or inaccessible to humans, such as deep-sea exploration, space missions, and disaster response operations.
6. **Improving Interaction Between Humans and Machines**: Enhancing natural language processing and computer vision allows AI systems to understand and interpret human language and visual cues more accurately. This leads to better user experiences through voice-activated assistants, chatbots, and interactive tools that feel more intuitive and responsive.
7. **Promoting Ethical and Fair Use of AI**: As AI becomes more integrated into society, ensuring its ethical application is paramount. This includes developing AI that is free from biases, respects privacy, and is used in a manner that benefits society as a whole. Transparency in AI algorithms and decisions is also a critical objective to build trust and accountability.
THIS PPT IS CREATED BY MYSELF ROHIT YEMUL,
RUTWIK DOSHI,ONKAR KUDALE,AND SANKALP KOTHARI.
IF YOU WANT THIS PPT EMAIL US ON rohityemul2067@gmail.com.
or you can DM on instagram id = thisisrohi268 (rohit yemul).
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
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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
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.
8. Contents List:-
Introduction
Why we need it?
History
Construction of AI
Uses in different fields
Advantages
Drawbacks
Criteria of success
Contents List:-
Introduction
Why we need it?
History
Construction of AI
Uses in different fields
Advantages
Drawbacks
Criteria of success
11. Introduction:-
• Artificial intelligence is commonly denoted as AI.
• It is a very vast field.
• AI is a program that behave, think, operate and act as
human.
• AI is a conversion of human brain into computer
brain(processor).
12. What is AI?
AI is a computer program that act as human.
When human intelligence is converted into machine it
is called artificial intelligence .
13. Why we need it?
Due to our busy and struggled life.
To solve problems.
For time savings
14. History:-
We hardly need some assistants.
Concept of artificial intelligence may be found in
Greek mythology.
Modern computer become after World War 2.
14th century Aristotle
15th -16th century Clock
20th century Grey Wetter , Rabbet etc.
15. .
Construction
oNow a question arise that how a
machine can act as a brain?
oAI is constructed on the model of
brain.
oBrain intelligence is converted
into AI.
oAI is prepared by thousands of
transistors
16. Uses in different fields:-
As AI is a very vast field it is used in
every field
Computer
Banking and faineance
Robotics
Transport
Medical
Education
Games
Music
Speech Recognition
17. Computer
Actually AI is the field of computer science.
All of the following were developed in AI
laborites :
1. Time sharing
2. Graphical user interface
3. Interactive interpreters
4. Programming's
18. Banking and finance
AI is use to get assistant to
handle numerous of activates
valuated to finance.
Bank s use AI systems to
organize operations , invest in
stocks, and manage properties.
19. Robotics
A robot is an automatic programmable
machine that moves and perform
mechanical tasks.
Robot can work in environment that is
dangers for human.
Robot’s task are accurate .
From appearance it is called robot and in
working it is called AI.
Now robots are use in every field of life.
20. Transport
AI is widely used in transport
industries .
For manufacturing heavy vehicles
robots are used based on AI.
CAD (computer aided designing)
CAM(computer aided
manufacturing)
21. Medical
In medical field AI is use with the
help of:
Robots
Machinery
Helping surgeons
Monitoring patient
Medical chips
22. Education
Computers with AI are used in education
field such as :
a. CBT(computer Based Training)
b. CAL(Computer Aided Learning)
These are two basic education tools based
on AI to help learners.
23. Games
Games
AI is also used to make computer games
more challenging for their human
participants.
Most games are ruled-based, which means
that the computerized characters such as
enemy guards, friendly wingmen.
Some of the most popular games are open-
ended. Their characters do not have finite
path to follow or an ultimate goal such as
Sims 3 university life, island paradise.
Games
AI is also used to make computer games
Ruled-Based Games
Open-Ended Games
24. Music
The AI also implemented in music industry.
Composition
Performance
Sound processing
25. Speech recognition
Speech recognition (SR) is the translation of spoken words into text.
Speech recognition applications include voice user interfaces such as voice
dialing (e.g. "Call home").
The performance of speech recognition systems is usually evaluated in terms
of accuracy and speed.