Artificial intelligence pursues creating intelligent machines by understanding, learning, reasoning, and problem-solving like humans. It is relevant to many intellectual tasks and is used in applications such as autonomous vehicles, medical diagnosis, games, search engines, and more. However, AI also presents some challenges. The knowledge it relies on is huge, unorganized, and constantly changing. While AI can help organize and use knowledge efficiently, issues include unemployment if robots replace jobs, humans becoming too dependent on machines and losing abilities, and control and security problems if AI is misused.
In which we try to explain why we consider artificial intelligence to be a subject most worthy of study, and in which we try to decide what exactly it is, this being a good thing to decide before embarking.
Artificial Intelligence Vs Human IntelligenceManikant Rai
While AI researchers are trying to replicate our mental functions, many people are scared that AI will replace them. Hundreds of jobs such as drivers, radiologists and cashiers are facing substitution with machines in the next 5 years. Who’s next? To get a better idea what is coming we need a better understanding in which domains AI is stronger than humans and vice-versa.
artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
In our smart and connected AI world, machines are increasing learning to sense, learn, reason, act and adapt to the real world. This is Artificial Intelligence.
AI (artificial intelligence) for Doctor
AI (artificial intelligence) for Farmers,
AI (artificial intelligence) for autonomous car,
AI (artificial intelligence) for banks,
AI (artificial intelligence) for deep learning,
AI (artificial intelligence) for Fun and games
In which we try to explain why we consider artificial intelligence to be a subject most worthy of study, and in which we try to decide what exactly it is, this being a good thing to decide before embarking.
Artificial Intelligence Vs Human IntelligenceManikant Rai
While AI researchers are trying to replicate our mental functions, many people are scared that AI will replace them. Hundreds of jobs such as drivers, radiologists and cashiers are facing substitution with machines in the next 5 years. Who’s next? To get a better idea what is coming we need a better understanding in which domains AI is stronger than humans and vice-versa.
artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
In our smart and connected AI world, machines are increasing learning to sense, learn, reason, act and adapt to the real world. This is Artificial Intelligence.
AI (artificial intelligence) for Doctor
AI (artificial intelligence) for Farmers,
AI (artificial intelligence) for autonomous car,
AI (artificial intelligence) for banks,
AI (artificial intelligence) for deep learning,
AI (artificial intelligence) for Fun and games
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This ppt gives a insight of AI and Machine learning there working there application risk and benefits and some future scope
The Various Content and images has been gathered from various sites on the internet some of them are
https://www.wikipedia.org
http://scikit-learn.org/stable/
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
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The Use of Artificial Intelligence and Machine Learning in Speech RecognitionUniphore
A presentation designed to help understand the basics Speech Recognition, Artificial Intelligence, and Machine Learning. Slides in the second half throw light on how AI and ML are helping scale Speech Recognition technology.
Here is a small presentation about Artificial Intelligence.
How ai system works and how Artificial Intelligence works in our day to day life to solve real life problems.
I hope you will like it.
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?
Artificial intelligence (AI) is the intelligence of machines and robots and the branch of computer science that aims to create it
the ability to solve problems
the ability to act rationally
the ability to act like humans
What Is Machine Learning? | What Is Machine Learning And How Does It Work? | ...Simplilearn
This presentation on Machine Learning will help you understand what is Machine Learning, Artificial Intelligence vs Machine Learning vs Deep Learning, how does Machine Learning work, types of Machine Learning, Machine Learning pre-requisites and applications of Machine Learning. Machine learning is a core sub-area of artificial intelligence. Machine Learning is a technique which uses statistical methods enabling machines to learn from their past data. it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. While the concept of machine learning has been around for a long time, the ability to apply complex mathematical calculations to big data has been gaining momentum over the last several years. Now, let us get started and understand the concept of Machine Learning in detail.
Below topics are explained in this "What is Machine Learning?" presentation:
1. Machine Learning
- What is Machine Learning
2. Artificial intelligence vs Machine Learning vs Deep Learning
3. How does Machine Learning work?
4. Types of Machine Learning
5. Machine Learning pre-requisites
6. Applications of Machine Learning
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modelling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbours, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers
2. Information Architects
3. Analytics Professionals
4. Graduates
Learn more at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This ppt gives a insight of AI and Machine learning there working there application risk and benefits and some future scope
The Various Content and images has been gathered from various sites on the internet some of them are
https://www.wikipedia.org
http://scikit-learn.org/stable/
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
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
The Use of Artificial Intelligence and Machine Learning in Speech RecognitionUniphore
A presentation designed to help understand the basics Speech Recognition, Artificial Intelligence, and Machine Learning. Slides in the second half throw light on how AI and ML are helping scale Speech Recognition technology.
Here is a small presentation about Artificial Intelligence.
How ai system works and how Artificial Intelligence works in our day to day life to solve real life problems.
I hope you will like it.
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?
Artificial intelligence (AI) is the intelligence of machines and robots and the branch of computer science that aims to create it
the ability to solve problems
the ability to act rationally
the ability to act like humans
What Is Machine Learning? | What Is Machine Learning And How Does It Work? | ...Simplilearn
This presentation on Machine Learning will help you understand what is Machine Learning, Artificial Intelligence vs Machine Learning vs Deep Learning, how does Machine Learning work, types of Machine Learning, Machine Learning pre-requisites and applications of Machine Learning. Machine learning is a core sub-area of artificial intelligence. Machine Learning is a technique which uses statistical methods enabling machines to learn from their past data. it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. While the concept of machine learning has been around for a long time, the ability to apply complex mathematical calculations to big data has been gaining momentum over the last several years. Now, let us get started and understand the concept of Machine Learning in detail.
Below topics are explained in this "What is Machine Learning?" presentation:
1. Machine Learning
- What is Machine Learning
2. Artificial intelligence vs Machine Learning vs Deep Learning
3. How does Machine Learning work?
4. Types of Machine Learning
5. Machine Learning pre-requisites
6. Applications of Machine Learning
Why learn Machine Learning?
Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
What skills will you learn from this Machine Learning course?
By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modelling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbours, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems.
We recommend this Machine Learning training course for the following professionals in particular:
1. Developers
2. Information Architects
3. Analytics Professionals
4. Graduates
Learn more at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course
Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces.
Artificial intelligence (AI) all in one presentation consists of almost all concepts of Artificial intelligence. i.e.
Artificial intelligence, Robotics, ANN, NLP, NLU, History of AI, History, Pakistan, basharat jehan, agriculture university peshawar, Forward and Backward Chaining, Grammers in AI, Morphology, Examples of Expert system, Laws of Robotics,Expert system languages, Syntactic Analysis in NLP, Lecture Notes
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.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
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/
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
3. A branch of Computer Science named Artificial Intelligence pursues creating the
computers or machines as intelligent as human beings.
Artificial Intelligence is a way making a computer, a computer-controlled robot, or
a software think intelligently, in the similar manner the intelligent humans think,
learn, decide and work while trying to solve a problem, and then using the
outcomes of this study as a basis of developing intelligent software and systems.
According to Father of Artificial Intelligence, John McCarthy, it is
“The science and engineering of making intelligent machines, especially
intelligent computer programs.”
4. To create expert systems:
The systems which exhibit intelligent behavior, learn, demonstrate, explain and
advice its users.
To implement human intelligence in machines:
Creating systems that understand, think, learn, and behave like humans.
5. AI is relevant to any intellectual task. Modern artificial intelligence techniques are
pervasive and are too numerous to list here. Frequently, when a technique reaches
mainstream use, it is no longer considered artificial intelligence; this phenomenon is
described as the AI effect.
High-profile examples of AI include autonomous vehicles (such as drones and self-driving
cars), medical diagnosis, creating art (such as poetry), proving mathematical theorems,
playing games (such as Chess or Go), search engines (such as Google search), online
assistants (such as Siri), image recognition in photographs, spam filtering, predicting flight
delays, prediction of judicial decisions, targeting online advertisements, and energy storage.
With social media sites overtaking TV as a source for news for young people and news
organizations increasingly reliant on social media platforms for generating
distribution, major publishers now use artificial intelligence (AI) technology to post stories
more effectively and generate higher volumes of traffic.
AI can also produce Deep fakes, a content-altering technology. ZDNet reports, "It presents
something that did not actually occur," Though 88% of Americans believe Deep fakes can
cause more harm than good, only 47% of them believe they can be targeted. The boom of
election year also opens public discourse to threats of videos of falsified politician media.
6. AI has dominated in many fields such as
Gaming
AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where
machine can think of large number of possible positions based on heuristic
knowledge.
Natural Language Processing
Interact with the computer that understands natural language spoken by humans.
Expert systems
Some applications which integrate machine, software, and special information to
provide explanation and advice to the users.
7. Vision Systems
Understand, interpret and comprehend visual input on the computer. For example, a spy-plane
takes photographs, which are used to figure out the map of the areas. Doctors use clinical expert
system to diagnose the patient. Police use computer software that can identify criminals with the
stored portrait made by forensic artist.
Speech Recognition
Some intelligent systems are capable of hearing and comprehending the language in terms of
sentences and their meanings besides different accents, slang words, noise in the background,
change in human’s voice due to cold, etc.
Handwriting Recognition
The handwriting recognition software reads the text written on paper by a pen or on screen by a
stylus. It can recognize the shapes of the letters and convert it into editable text.
Intelligent Robots
Robots are able to perform the tasks given by a human. They have sensors to detect physical data
from the real world such as light, heat, temperature, movement, sound, bump, and pressure.
They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In
addition, they are capable of learning from their mistakes and they can adapt to the new
environment.
8. The knowledge has some unwelcomed properties in the real world.
> Its volume is huge, next to unimaginable.
> Its not well organized or well formatted.
> It keeps changing constantly.
AI technique is a manner to organize and use the knowledge efficiently in such a
way that
o It should be perceivable by the people who provide it.
o It should be easily modifiable to correct errors.
o It should be useful in many situations though it is incomplete or inaccurate.
o AI techniques elevate the speed of execution of the complex program it is equipped
with
9. The huge costs involved in its protection and maintenance.
Unemployment, if robots begin to substitute human beings in every field.
Automation can cause human beings stop using their thinking abilities.
Over dependence on machines can result in losing their mental and physical
capabilities.
Control of the machines in the wrong hands can cause havoc.
Fear of robots over ruling humans, who should always be the masters of
machines. But if something goes wrong, would clever machines outsmart us ?