The document is a lecture on artificial intelligence (AI) that covers the following key points:
1. It defines intelligence and discusses how AI aims to develop systems that exhibit intelligent behavior like humans.
2. It outlines the differences between intelligent computing in AI systems versus conventional rule-based computing.
3. It provides a brief history of AI, covering milestones from the 1940s to the present, and discusses fields that have contributed to AI's development.
This is the ppt i made for my college presentation and is a non technical approach towards the topic ai easy to explain and answer questions upon. so enjoy ...
The document discusses an AI system called Mithila and its members, providing definitions of artificial intelligence, machine learning, and deep learning. It compares human and artificial intelligence and profiles the founders of AI, John McCarthy and Marvin Minsky. The document then outlines current and future applications of AI including quantum computing, robots, smart cars, and discusses whether future AI will be unstoppable, dangerous, or human-friendly.
AI & Cognitive Computing are some of the most popular business an technical words out there. It is critical to get the basic understanding of Cognitive Computing, which helps us appreciate the technical possibilities and business benefits of the technology.
This document discusses Industry 4.0, the current fourth industrial revolution driven by cyber-physical systems. It outlines the evolution of previous industrial revolutions from mechanization to automation and digitalization. Key elements of Industry 4.0 include the industrial internet of things, cybersecurity, cloud computing, cognitive analytics, and smart factories. Examples are given of companies like Siemens, Trumpf, and GE implementing Industry 4.0 technologies. Potential impacts discussed include increased productivity, new business models, and changes to the nature of work and skills needed for the future.
An Elementary Introduction to Artificial Intelligence, Data Science and Machi...Dozie Agbo
?
This presentation is a friendly introduction to Artificial Intelligence, Data Science and Machine Learning. It touches on the beginnings of AI, the steps involved in Data Science, the roles involving operations on data, and the buzz around "Technology Singularity".
It ends by looking at tools and system requirements for people who might want to start a career in AI.
Have fun exploring Artificial Intelligence!
Sosiaalinen media tietosuojan n?k?kulmastaHarto P?nk?
?
Koulutus FCG:n j?rjest?m?ss? Henkil?tietojen lainmukaisen k?sittelyn ohjeistaminen -webinaarissa 08.10.2020, joka on osa Tietosuojavastaavan koulutusohjelmaa, Harto P?nk?, Innowise
Pita magnetik adalah media penyimpanan informasi yang terbuat dari campuran plastik dan ferric oxide. Pita magnetik memiliki dua jenis yaitu mini cartridge dan videotape/videocassette. Pita magnetik digunakan untuk merekam audio, video, dan sebagai alat input/output.
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence. John McCarthy is considered one of the founding fathers of AI. Since the 1950s, AI has evolved from attempting to construct human-like general intelligence to developing narrow technologies that can perform specific tasks like visual perception. Machine learning and deep learning are prominent approaches used to develop AI systems. Notable AI milestones include Deep Blue defeating Garry Kasparov at chess in 1997 and AlphaGo defeating Lee Sedol at the game Go in 2016. Today, AI is used widely in areas like self-driving cars, computer vision, robotics, healthcare, finance, and more.
Principles of Artificial Intelligence & Machine LearningJerry Lu
?
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as ¡°deep learning¡± and ¡°cognitive computing¡±
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn¡¯s reach and reputation with respect to this new frontier, I¡¯m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I¡¯d love to hear what you think.? If you found this post or the deck useful, please recommend them to your friends and colleagues!
Yole Intel RealSense 3D camera module and STM IR laser 2015 teardown reverse ...Yole Developpement
?
INNOVATIVE 3D CAMERA FOR FACIAL ANALYSIS AND HAND/FINGER TRACKING, BASED ON RESONANT MICRO-MIRROR, IR LASER, VISIBLE AND NEAR INFRARED IMAGE SENSORS.
Intel RealSense is an intelligent 3D camera equipped with a system of three components: a conventional camera, a near infrared image sensor and an infrared laser projector. Infrared parts are used to calculate the distance between objects, but also to separate objects on different planes. They serve for facial recognition as well as gestures tracking.
The Intel 3D camera can scan the environment from 0.2m to 1.2m. The fixed-focal length camera will support up to 1080p @30FPS capture in RGB with a 77¡ã FOV. Its lens has a built in IR cut filter. The 640x480 pixel VGA camera has a frame rate up to 60fps with a 90¡ã FOV, moreover its lens has an IR Band Pass filter.
More information on that report at http://www.i-micronews.com/reports.html
This document provides an overview of artificial intelligence (AI), including its history, key concepts, tools, applications, future potential, and limitations. It discusses how AI aims to recreate human intelligence using computers and draws on fields like computer science, mathematics, psychology and more. The document also summarizes the development of AI technologies over time, from early work in the 1940s to modern applications in areas like computer vision, robotics and question answering systems. Both opportunities and challenges of advancing AI are considered, such as how superintelligent machines could potentially help or harm humanity.
The Technological Singularity is a future point in time when technology will rapidly improve itself to surpass human intelligence, changing human life as we know it. In this report, the following topics are covered:
What is the Singularity?
How is it predicted?
What are its implications?
What does it mean for human evolution?
What when it happens: Utopia or doom?
Beginnings of the Singularity
Questions that arise
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
AI & Cognitive Computing are some of the most popular business an technical words out there. It is critical to get the basic understanding of Cognitive Computing, which helps us appreciate the technical possibilities and business benefits of the technology.
This document discusses Industry 4.0, the current fourth industrial revolution driven by cyber-physical systems. It outlines the evolution of previous industrial revolutions from mechanization to automation and digitalization. Key elements of Industry 4.0 include the industrial internet of things, cybersecurity, cloud computing, cognitive analytics, and smart factories. Examples are given of companies like Siemens, Trumpf, and GE implementing Industry 4.0 technologies. Potential impacts discussed include increased productivity, new business models, and changes to the nature of work and skills needed for the future.
An Elementary Introduction to Artificial Intelligence, Data Science and Machi...Dozie Agbo
?
This presentation is a friendly introduction to Artificial Intelligence, Data Science and Machine Learning. It touches on the beginnings of AI, the steps involved in Data Science, the roles involving operations on data, and the buzz around "Technology Singularity".
It ends by looking at tools and system requirements for people who might want to start a career in AI.
Have fun exploring Artificial Intelligence!
Sosiaalinen media tietosuojan n?k?kulmastaHarto P?nk?
?
Koulutus FCG:n j?rjest?m?ss? Henkil?tietojen lainmukaisen k?sittelyn ohjeistaminen -webinaarissa 08.10.2020, joka on osa Tietosuojavastaavan koulutusohjelmaa, Harto P?nk?, Innowise
Pita magnetik adalah media penyimpanan informasi yang terbuat dari campuran plastik dan ferric oxide. Pita magnetik memiliki dua jenis yaitu mini cartridge dan videotape/videocassette. Pita magnetik digunakan untuk merekam audio, video, dan sebagai alat input/output.
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence. John McCarthy is considered one of the founding fathers of AI. Since the 1950s, AI has evolved from attempting to construct human-like general intelligence to developing narrow technologies that can perform specific tasks like visual perception. Machine learning and deep learning are prominent approaches used to develop AI systems. Notable AI milestones include Deep Blue defeating Garry Kasparov at chess in 1997 and AlphaGo defeating Lee Sedol at the game Go in 2016. Today, AI is used widely in areas like self-driving cars, computer vision, robotics, healthcare, finance, and more.
Principles of Artificial Intelligence & Machine LearningJerry Lu
?
Artificial intelligence has captivated me since I worked on projects at Google that ranged from detecting fraud on Google Cloud to predicting subscriber retention on YouTube Red. Looking to broaden my professional experience, I then entered the world of venture capital by joining Baidu Ventures as its first summer investment associate where I got to work with amazingly talented founders building AI-focused startups.
Now at the Wharton School at the University of Pennsylvania, I am looking for opportunities to meet people with interesting AI-related ideas and learn about the newest innovations within the AI ecosystem. Within the first two months of business school, I connected with Nicholas Lind, a second-year Wharton MBA student who interned at IBM Watson as a data scientist. Immediately recognizing our common passion for AI, we produced a lunch-and-learn about AI and machine learning (ML) for our fellow classmates.
Using the following deck, we sought to:
- define artificial intelligence and describe its applications in business
- decode buzzwords such as ¡°deep learning¡± and ¡°cognitive computing¡±
- highlight analytical techniques and best practices used in AI / ML
- ultimately, educate future AI leaders
The lunch-and-learn was well received. When it became apparent that it was the topic at hand and not so much the free pizzas that attracted the overflowing audience, I was amazed at the level of interest. It was reassuring to hear that classmates were interested in learning more about the technology and its practical applications in solving everyday business challenges. Nick and I are now laying a foundation to make these workshops an ongoing effort so that more people across the various schools of engineering, design, and Penn at large can benefit.
With its focus on quantitative rigor, Wharton already feels like a perfect fit for me. In the next two years, I look forward to engaging with like-minded people, both in and out of the classroom, sharing my knowledge about AI with my peers, and learning from them in turn. By working together to expand Penn¡¯s reach and reputation with respect to this new frontier, I¡¯m confident that we can all grow into next-generation leaders who help drive companies forward in an era of artificial intelligence.
I¡¯d love to hear what you think.? If you found this post or the deck useful, please recommend them to your friends and colleagues!
Yole Intel RealSense 3D camera module and STM IR laser 2015 teardown reverse ...Yole Developpement
?
INNOVATIVE 3D CAMERA FOR FACIAL ANALYSIS AND HAND/FINGER TRACKING, BASED ON RESONANT MICRO-MIRROR, IR LASER, VISIBLE AND NEAR INFRARED IMAGE SENSORS.
Intel RealSense is an intelligent 3D camera equipped with a system of three components: a conventional camera, a near infrared image sensor and an infrared laser projector. Infrared parts are used to calculate the distance between objects, but also to separate objects on different planes. They serve for facial recognition as well as gestures tracking.
The Intel 3D camera can scan the environment from 0.2m to 1.2m. The fixed-focal length camera will support up to 1080p @30FPS capture in RGB with a 77¡ã FOV. Its lens has a built in IR cut filter. The 640x480 pixel VGA camera has a frame rate up to 60fps with a 90¡ã FOV, moreover its lens has an IR Band Pass filter.
More information on that report at http://www.i-micronews.com/reports.html
This document provides an overview of artificial intelligence (AI), including its history, key concepts, tools, applications, future potential, and limitations. It discusses how AI aims to recreate human intelligence using computers and draws on fields like computer science, mathematics, psychology and more. The document also summarizes the development of AI technologies over time, from early work in the 1940s to modern applications in areas like computer vision, robotics and question answering systems. Both opportunities and challenges of advancing AI are considered, such as how superintelligent machines could potentially help or harm humanity.
The Technological Singularity is a future point in time when technology will rapidly improve itself to surpass human intelligence, changing human life as we know it. In this report, the following topics are covered:
What is the Singularity?
How is it predicted?
What are its implications?
What does it mean for human evolution?
What when it happens: Utopia or doom?
Beginnings of the Singularity
Questions that arise
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
This document provides an introduction to artificial intelligence using fuzzy logic and neural networks. It discusses key concepts such as fuzzy logic, which allows for partial set membership rather than binary logic, and neural networks, which are modeled off the human brain. The document also introduces fuzzy-neural hybrid networks, which combine fuzzy logic and neural networks to leverage the strengths of both approaches. Examples of applications include pattern recognition, data mining, and control systems.
Information technology & information system lectureNyamdorj Dugar
?
Revolution of Technology
Introduction
Brief History of computers
Categories of Computers
The Hardware Components of a Basic System
Software Basics
Operating system
Windows 7 operating system & Control Panel
Artificial intelligence in power systems Riyas K H
?
1) Artificial intelligence techniques like artificial neural networks, fuzzy logic systems, and expert systems can be applied to problems in power systems.
2) Artificial neural networks are useful for tasks like power system stabilization, load forecasting, fault diagnosis, and security assessment. They do not require extensive programming.
3) Fuzzy logic systems account for measurement errors and are used for stability assessment, fault diagnosis, and other applications. Expert systems use rules and facts to deduce conclusions.
The document discusses the use of artificial intelligence techniques in power systems. It describes how AI can help address challenges from the complex, large amounts of data in power systems. The major AI techniques that can be applied include expert systems, artificial neural networks, and fuzzy logic. These techniques have advantages like consistent processing speed but also disadvantages like inability to learn new problems. The document provides examples of applications for fault diagnosis, load forecasting, stability analysis and more. It concludes that AI can improve reliability and reduce costs but more research is still needed to realize its full benefits.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
This short document promotes creating presentations using Haiku Deck, a tool for making slideshows. It encourages the reader to get started making their own Haiku Deck presentation and sharing it on ºÝºÝߣShare. In a single sentence, it pitches the idea of using Haiku Deck to easily create and share slideshow presentations online.
This newsletter from the AWMI Cleveland Chapter recognizes the 2014 Member of the Year (Dave Woolard) and Company of the Year (TimkenSteel). It provides details on the chapter's annual industry dinner where the awards were given, including a speech given by TimkenSteel CEO Ward Timken. It also welcomes new chapter members and promotes upcoming chapter events, such as a golf outing and holiday party.
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Introduction into history and technologies of artificial intelligence.
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Guest lecture on history, modern technologies and achievements, myths and prejudices, and, at least, the future of Artificial Intelligence, which was delivered to second grade students of ?Transportation processes technology? branch of Saint-Petersburg State University of Architecture and Civil Engineering.