The document discusses the history and applications of artificial intelligence. It begins with definitions of AI and discusses its origins in the 1940s. It describes common branches of AI like logical reasoning, pattern recognition, and learning. Examples are given of AI in games like Halo and Forza, as well as uses in robots for tasks like mining. The document concludes with the author's view that AI could be beneficial by taking over dangerous jobs from humans.
An overlook of artificial intelligence with a quick insight of its definitions and know-hows.
History, applications and various usage of artificial intelligence in real life.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
This Presentation will give you an overview about Artificial Intelligence : definition,types,Platform of AI,Languages,Future Scope, advantages , disadvantages , benefits , applications .
An overview of artificial intelligence from the perspective of a potential venture capital investment: what it is, its history, how it can be used, and what it could mean for the future of various industries and humanity.
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.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A presentation that a layman could understand and have basic knowledge and concept of coming technology.
This PPT gives you more than enough introduction to artificial intelligence and makes you to learn yourself artificial intelligence creating interest upon it
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 />
An overlook of artificial intelligence with a quick insight of its definitions and know-hows.
History, applications and various usage of artificial intelligence in real life.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
This Presentation will give you an overview about Artificial Intelligence : definition,types,Platform of AI,Languages,Future Scope, advantages , disadvantages , benefits , applications .
An overview of artificial intelligence from the perspective of a potential venture capital investment: what it is, its history, how it can be used, and what it could mean for the future of various industries and humanity.
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.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. A presentation that a layman could understand and have basic knowledge and concept of coming technology.
This PPT gives you more than enough introduction to artificial intelligence and makes you to learn yourself artificial intelligence creating interest upon it
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 />
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
In 1980, John Searle introduced a division of the field of AI into.docxwilcockiris
In 1980, John Searle introduced a division of the field of AI into "strong" and "weak" AI. Strong AI denoted the attempt to develop a full human-like intelligence, while weak AI denoted the use of AI techniques to either better understand human reasoning or to solve more limited problems. Although there was little progress in developing a strong AI through symbolic programming methods, the attempt to program computers to carry out limited human functions has been quite successful. Much of what is currently labeled AI research follows a functional model, applying particular programming techniques, such as knowledge engineering, fuzzy logic, genetic algorithms, neural networking, heuristic searching, and machine learning via statistical methods, to practical problems. This view sees AI as advanced computing. It produces working programs that can take over certain human tasks. Such programs are used in manufacturing operations, transportation, education, financial markets, "smart" buildings, and even household appliances.
For a functional AI, there need be no quality labeled "intelligence" that is shared by humans and computers. All computers need do is perform a task that requires intelligence for a human to perform. It is also unnecessary, in functional AI, to model a program after the thought processes that humans use. If results are what matters, then it is possible to exploit the speed and storage capabilities of the digital computer while ignoring parts of human thought that are not understood or easily modeled, such as intuition. This is, in fact, what was done in designing the chess-playing program Deep Blue, which in 1997 beat the reigning world chess champion, Gary Kasparov. Deep Blue does not attempt to mimic the thought of a human chess player. Instead, it capitalizes on the strengths of the computer by examining an extremely large number of moves, more moves than any human player could possibly examine.
There are two problems with functional AI. The first is the difficulty of determining what falls into the category of AI and what is simply a normal computer application. A definition of AI that includes any program that accomplishes some function normally done by a human being would encompass virtually all computer programs. Nor is there agreement among computer scientists as to what sorts of programs should fall under the rubric of AI. Once an application is mastered, there is a tendency to no longer define that application as AI. For example, while game playing is one of the classical fields of AI, Deep Blue's design team emphatically states that Deep Blue is not artificial intelligence, since it uses standard programming and parallel processing techniques that are in no way designed to mimic human thought. The implication here is that merely programming a computer to complete a human task is not AI if the computer does not complete the task in the same way a human would.
For a functional approach to result in a full human-like in.
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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/
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.
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.
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
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/
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.
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.
![Definition of Artificial Intelligence ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)