ARTIFICIAL INTELLIGENCE
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A perfect presentation on the future - Artificial Intelligence. sorry for the mistakes! * The 21st slide is a video so you can download it to watch it. * The video is very important though.
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Creative Outlets Confratute 2015 DAY TWO
The document discusses creativity and the role of technology and video games. It references a study that found a positive relationship between creativity and video game play in children. Several quotes are provided about how video games can foster new ways of thinking and learning that are engaging. Video games are said to teach skills like problem solving and thinking in a fast-paced manner. Creativity and combinatorial play are also discussed as important for productive thought. Overall the document suggests that video games may support and enhance creativity in children.
미래 기술의 발전 (1)
The document discusses future human-centered design and technology integration. It envisions technologies that can sense, think, and act more like humans through study, communication, creation, support, and expression. Technologies are approaching that allow display, input, and networking everywhere through wearable, flexible, transparent displays and various networks. Processing is improving through artificial intelligence utilizing natural language processing, big data analysis, and machine learning. Robotics movement is advancing with durable batteries and small, efficient motors. The document presents a vision of integrated human and technology interaction.
Artificial intelligence
This ppt gives the reader a general overview of what artificial intelligence is and its applications in our lives.
Expert Systems New
This document provides an overview of artificial intelligence and expert systems. It defines artificial intelligence as creating intelligent machines to understand principles of intelligence, and expert systems as computer systems that apply expertise in specific domains like medicine, chemistry, and meteorology. The document also lists some strengths and weaknesses of expert systems, such as their ability to permanently store expertise but lack of common sense or flexibility. It concludes by stating that people and machines each have their own strengths when it comes to reliability.
Expert Systems
Artificial intelligence and expert systems can be used to both simulate human mental processes and allow computers to think independently. Expert systems are applications that do not require common sense, are generally well understood, can be described objectively, and where human expertise is scarce. While expert systems have advantages like permanent expertise and consistent results, they also have disadvantages like a lack of common sense and inability to explain logic. People and machines each have their own strengths when it comes to decision making.
Artificial Intelligence (AI)
By this presentation you can know about artificial intelligence.
It's help you to increase your knowledge on artificial intelligence.
ARTIFICIAL INTELLIGENCE and how it imactas
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. The goal of AI is to develop computer systems capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, learning from experience, and making decisions.
There are various types of AI, including narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems, such as speech recognition, image recognition, or playing chess. General AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.
AI algorithms and techniques can be categorized into several subfields, including:
1. Machine Learning: Machine learning is a subset of AI that focuses on the development of algorithms that enable computers to learn from data and improve their performance over time without being explicitly programmed. This includes supervised learning, unsupervised learning, and reinforcement learning.
2. Deep Learning: Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to model complex patterns in large amounts of data. Deep learning has been particularly successful in tasks such as image recognition, speech recognition, and natural language processing.
3. Natural Language Processing (NLP): NLP is a field of AI that focuses on the interaction between computers and humans through natural language. NLP enables computers to understand, interpret, and generate human language, allowing for applications such as language translation, sentiment analysis, and chatbots.
4. Computer Vision: Computer vision is a field of AI that enables computers to interpret and understand visual information from the real world, such as images and videos. Computer vision algorithms can be used for tasks such as object detection, image classification, and facial recognition.
5. Robotics: Robotics combines AI with mechanical engineering to create machines that can perform tasks autonomously or semi-autonomously. AI-powered robots are used in various industries, including manufacturing, healthcare, and agriculture, to automate repetitive tasks and improve efficiency.
AI has a wide range of applications across various industries, including healthcare, finance, transportation, retail, and entertainment. Some examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems like those used by Netflix and Amazon, and medical diagnosis systems.
While AI has the potential to bring about significant benefits and advancements, it also raises ethical and societal concerns, such as job displacement, algorithmic bias, privacy issues, and the potential for misuse or abuse of AI te
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This document provides an overview of artificial intelligence (AI). It defines AI as "the science and engineering of making intelligent machines, especially intelligent computer programs" according to John McCarthy, the father of AI. The document explains that AI is a way to make computers and robots think intelligently like humans. It also lists several fields that contribute to building intelligent systems, including computer science, biology, psychology, linguistics, mathematics, and engineering. The document discusses challenges with organizing vast amounts of changing real-world knowledge for AI systems. It provides examples of applications of AI in gaming, natural language processing, and expert systems. In closing, it notes both optimistic and pessimistic views about the future impacts of AI.
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The document discusses creativity and the role of technology and video games. It references a study that found a positive relationship between creativity and video game play in children. Several quotes are provided about how video games can foster new ways of thinking and learning that are engaging. Video games are said to teach skills like problem solving and thinking in a fast-paced manner. Creativity and combinatorial play are also discussed as important for productive thought. Overall the document suggests that video games may support and enhance creativity in children.
미래 기술의 발전 (1)
The document discusses future human-centered design and technology integration. It envisions technologies that can sense, think, and act more like humans through study, communication, creation, support, and expression. Technologies are approaching that allow display, input, and networking everywhere through wearable, flexible, transparent displays and various networks. Processing is improving through artificial intelligence utilizing natural language processing, big data analysis, and machine learning. Robotics movement is advancing with durable batteries and small, efficient motors. The document presents a vision of integrated human and technology interaction.
Artificial intelligence
This ppt gives the reader a general overview of what artificial intelligence is and its applications in our lives.
Expert Systems New
This document provides an overview of artificial intelligence and expert systems. It defines artificial intelligence as creating intelligent machines to understand principles of intelligence, and expert systems as computer systems that apply expertise in specific domains like medicine, chemistry, and meteorology. The document also lists some strengths and weaknesses of expert systems, such as their ability to permanently store expertise but lack of common sense or flexibility. It concludes by stating that people and machines each have their own strengths when it comes to reliability.
Expert Systems
Artificial intelligence and expert systems can be used to both simulate human mental processes and allow computers to think independently. Expert systems are applications that do not require common sense, are generally well understood, can be described objectively, and where human expertise is scarce. While expert systems have advantages like permanent expertise and consistent results, they also have disadvantages like a lack of common sense and inability to explain logic. People and machines each have their own strengths when it comes to decision making.
Artificial Intelligence (AI)
By this presentation you can know about artificial intelligence.
It's help you to increase your knowledge on artificial intelligence.
ARTIFICIAL INTELLIGENCE and how it imactas
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. The goal of AI is to develop computer systems capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, learning from experience, and making decisions.
There are various types of AI, including narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems, such as speech recognition, image recognition, or playing chess. General AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.
AI algorithms and techniques can be categorized into several subfields, including:
1. Machine Learning: Machine learning is a subset of AI that focuses on the development of algorithms that enable computers to learn from data and improve their performance over time without being explicitly programmed. This includes supervised learning, unsupervised learning, and reinforcement learning.
2. Deep Learning: Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to model complex patterns in large amounts of data. Deep learning has been particularly successful in tasks such as image recognition, speech recognition, and natural language processing.
3. Natural Language Processing (NLP): NLP is a field of AI that focuses on the interaction between computers and humans through natural language. NLP enables computers to understand, interpret, and generate human language, allowing for applications such as language translation, sentiment analysis, and chatbots.
4. Computer Vision: Computer vision is a field of AI that enables computers to interpret and understand visual information from the real world, such as images and videos. Computer vision algorithms can be used for tasks such as object detection, image classification, and facial recognition.
5. Robotics: Robotics combines AI with mechanical engineering to create machines that can perform tasks autonomously or semi-autonomously. AI-powered robots are used in various industries, including manufacturing, healthcare, and agriculture, to automate repetitive tasks and improve efficiency.
AI has a wide range of applications across various industries, including healthcare, finance, transportation, retail, and entertainment. Some examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems like those used by Netflix and Amazon, and medical diagnosis systems.
While AI has the potential to bring about significant benefits and advancements, it also raises ethical and societal concerns, such as job displacement, algorithmic bias, privacy issues, and the potential for misuse or abuse of AI te
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This document provides an overview of artificial intelligence (AI). It defines AI as "the science and engineering of making intelligent machines, especially intelligent computer programs" according to John McCarthy, the father of AI. The document explains that AI is a way to make computers and robots think intelligently like humans. It also lists several fields that contribute to building intelligent systems, including computer science, biology, psychology, linguistics, mathematics, and engineering. The document discusses challenges with organizing vast amounts of changing real-world knowledge for AI systems. It provides examples of applications of AI in gaming, natural language processing, and expert systems. In closing, it notes both optimistic and pessimistic views about the future impacts of AI.
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Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, decision-making, and language translation. Some key developments in AI history include John McCarthy coining the term in 1956, the creation of the first mobile robot Shakey in 1969, and IBM's Deep Blue computer defeating the world chess champion in 1997. Today, AI is used in many fields including healthcare, gaming, robotics, data security, and social media.
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AI-PPT-wecompress.com_.pptx
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, decision-making, and language translation. The history of AI began in 1956 when the term was coined, and milestones include the creation of the first mobile robot in 1969 and a computer defeating a chess champion in 1997. Today, AI is used in many fields including healthcare, gaming, robotics, data security, and social media.
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4. Organizational processes and structures that may inhibit effective AI adoption.
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Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
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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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
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5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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ARTIFICIAL INTELLIGENCE
- 1. BY – SUMIT PANDEY
- 2. What Is Artificial Intelligence?
- 3. ( A.I Researcher )
- 5. What is meant by intelligence • Intelligence has been defined in many ways, including: the capacity for logic, understanding, self- awareness, learning, emotional knowledge,reasoning, planning, creativity, and problem solving.
- 7. Merits Frees up human The “no job” myth AI needs no coffee Messiah to mankind Mr./Ms. (nearly) perfect AI
- 8. Merits 6)Doctor:Emergency.Need assistance!!! 7)Improves living standards 8) AI:The daredevil
- 9. Do They Hate Us ???
- 13. Demerits 1)No predictability 2)Technical glitchs 3)Controlled imginations 4)No accountability 5)Access to unlimited info 6)Slow updations 7)Makes humans lazy 8)Influences human decision
- 14. Will They Replace Us ???
- 16. Co existence
- 23. WILL YOU PURCHASE A SELF-DRIVING CAR WHEN THEY BECOME AVAILABLE? POOL RESULTS
- 24. Thank YouBye...