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1. The document discusses the introduction, history, current situation, future, and conclusion of artificial intelligence (AI). 2. It defines AI as computers working like humans through data and provides examples like manufacturing robots, self-driving cars, and chatbots. 3. The history section notes early work in 1943 and 1950 that helped develop AI, and how AI is now used through voice assistants, chatbots, and to make human work easier.
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ARTIFICIAL.pptx
Artificial intelligence (AI) is machine intelligence exhibited by machines. The document discusses the history of AI from its origins in 1943 to current applications. It provides examples of how AI is used in expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. The future of AI could include more advanced personal robots and intelligent autonomous vehicles, but may also face challenges around developing human-level cognition in machines. The document concludes that AI has increased our understanding of intelligence while revealing its complexity, providing challenges and opportunities for future research.
artificialintelligencepresentation-160725075157.pdf
for education purpose base artificial inteligence
artificialintelligencepresentation-160725075157 (1).pdf
This document provides an overview of artificial intelligence (AI), including its history, applications, and future. It discusses how AI has been used since the 1940s and key developments like the Dartmouth conference in 1956. Current applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. The document considers both positive and negative potential futures of AI and how AI is already used in daily life through personal assistants, video games, and smart cars.
Artificial Intelligence(AI).
This document provides an overview of artificial intelligence (AI), including its history, current applications, and potential future. It discusses early developments in AI from the 1940s through 1990s and its increasing use today. Current applications covered are expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. The document considers both positive potential futures where AI assists humans and negative risks like autonomous robots harming people. It concludes that AI has increased understanding of intelligence while revealing its complexity.
Unit-II-Introduction of Artifiial Intelligence.pptx
The document discusses artificial intelligence (AI) and intelligent systems. It defines AI as creating machines that can think and act like humans by learning, reasoning, and problem-solving. It discusses early work in AI from the 1940s-1950s and provides examples of current applications of AI such as self-driving cars, virtual assistants, robots, and more. The document also covers the goals, advantages, and disadvantages of AI as well as its use in domains including healthcare, gaming, transportation, and others.
artificialintelligencepresentation-160725075157 (1) (1).pptx
This document provides an overview of artificial intelligence (AI) including its history, applications, and future. It discusses how AI has evolved from early concepts in computer science to today's uses in expert systems, natural language processing, computer vision, robotics, and more. The document also considers potential positive futures for AI where it assists humans as well as potential negative scenarios where autonomous systems could threaten humanity. It concludes that AI has increased understanding of intelligence while also revealing new challenges for further research.
Assignment no 1
The document provides an overview of artificial intelligence (AI) and robotics. It defines AI as replicating human intelligence in machines using perception, reasoning, learning, communicating and acting. The evolution of AI is discussed from early proposals by Alan Turing to recent advances in machine learning. Robotics are described as physical agents that operate in the physical world using sensors and effectors. The relationship between AI and robotics is that AI provides the intelligence for robots to make their own decisions. Examples of AI and robotics applications are presented. The conclusion is that while AI is still in early stages, the combination of AI and robotics may help realize futures depicted in science fiction.
AI3391 ARTIFICIAL INTELLIGENCE Unit I notes.pdf
AI3391 ARTIFICIAL INTELLIGENCE
Department of Artificial Intelligence and Data Science under anna university syllabus
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ARTIFICIAL.pptx
Artificial intelligence (AI) is machine intelligence exhibited by machines. The document discusses the history of AI from its origins in 1943 to current applications. It provides examples of how AI is used in expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. The future of AI could include more advanced personal robots and intelligent autonomous vehicles, but may also face challenges around developing human-level cognition in machines. The document concludes that AI has increased our understanding of intelligence while revealing its complexity, providing challenges and opportunities for future research.
artificialintelligencepresentation-160725075157.pdf
for education purpose base artificial inteligence
artificialintelligencepresentation-160725075157 (1).pdf
This document provides an overview of artificial intelligence (AI), including its history, applications, and future. It discusses how AI has been used since the 1940s and key developments like the Dartmouth conference in 1956. Current applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. The document considers both positive and negative potential futures of AI and how AI is already used in daily life through personal assistants, video games, and smart cars.
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This document provides an overview of artificial intelligence (AI), including its history, current applications, and potential future. It discusses early developments in AI from the 1940s through 1990s and its increasing use today. Current applications covered are expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming. The document considers both positive potential futures where AI assists humans and negative risks like autonomous robots harming people. It concludes that AI has increased understanding of intelligence while revealing its complexity.
Unit-II-Introduction of Artifiial Intelligence.pptx
The document discusses artificial intelligence (AI) and intelligent systems. It defines AI as creating machines that can think and act like humans by learning, reasoning, and problem-solving. It discusses early work in AI from the 1940s-1950s and provides examples of current applications of AI such as self-driving cars, virtual assistants, robots, and more. The document also covers the goals, advantages, and disadvantages of AI as well as its use in domains including healthcare, gaming, transportation, and others.
artificialintelligencepresentation-160725075157 (1) (1).pptx
This document provides an overview of artificial intelligence (AI) including its history, applications, and future. It discusses how AI has evolved from early concepts in computer science to today's uses in expert systems, natural language processing, computer vision, robotics, and more. The document also considers potential positive futures for AI where it assists humans as well as potential negative scenarios where autonomous systems could threaten humanity. It concludes that AI has increased understanding of intelligence while also revealing new challenges for further research.
Assignment no 1
The document provides an overview of artificial intelligence (AI) and robotics. It defines AI as replicating human intelligence in machines using perception, reasoning, learning, communicating and acting. The evolution of AI is discussed from early proposals by Alan Turing to recent advances in machine learning. Robotics are described as physical agents that operate in the physical world using sensors and effectors. The relationship between AI and robotics is that AI provides the intelligence for robots to make their own decisions. Examples of AI and robotics applications are presented. The conclusion is that while AI is still in early stages, the combination of AI and robotics may help realize futures depicted in science fiction.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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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AI Technology
- 1. Hello everyone Today we discuss about AI
- 3. TODAY'S INDEX 1.Introduction to AI. 2. history of AI. 3. Current situation in AI. 4.what there future in world. 5.Conclusion.
- 4. Introduction to AI Q. What is artificial intelligence (AI) ->It is a way in which computers work like humans and much better by data. -:Examples:- Manufacturing robots Self driving car Marketing chatbot
- 5. History of AI ->AI was done by WARREN MCCLLOH and WALTER PITS in 1943. "Artificial neurons". ->Alan Turing in 1950 change it and do "computing machinery and intelligence".
- 6. Current situation in AI ->there are everywhere AI. ->Voice assistant helps in many work. ->chatbots are part of it use i many companies like zomato, domino's ->to easier the work of human we use A.I.
- 7. What there future in world The future of AI is self aware AI. the machine will be aware before any incident. it give a signal by previous data . and self aware AI is not Stablished get. so,this is the future of AI.
- 8. Conclusion Overall we can say that AI is everywhere in technology. AI is helping in daily life.
- 9. Thank you