Artificial Intelligence And Machine Learning For Open World Novelty


Artificial Intelligence And Machine Learning For Open World Novelty
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Artificial Intelligence And Machine Learning For Open World Novelty


Artificial Intelligence And Machine Learning For Open World Novelty
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-02-20

Artificial Intelligence And Machine Learning For Open World Novelty written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-20 with Computers categories.


Advances in Computers, Volume presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on Contains novel subject matter that is relevant to computer science Includes the expertise of contributing authors Presents an easy to comprehend writing style



A Unifying Framework For Formal Theories Of Novelty


A Unifying Framework For Formal Theories Of Novelty
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Author : Terrance Boult
language : en
Publisher: Springer Nature
Release Date : 2023-08-01

A Unifying Framework For Formal Theories Of Novelty written by Terrance Boult and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-01 with Computers categories.


This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general intelligent systems. The book presents examples of using this framework to define and evaluate in multiple domains including image recognition image-based open world learning, hand-writing and author analysis, CartPole Control, Image Captioning, and Monopoly. Chapters are written by well-known contributors to this new and emerging field. In addition, examples are provided from multiple areas, such as machine-learning based control problems, symbolic reasoning, and multi-player games.



Lifelong And Continual Learning Dialogue Systems


Lifelong And Continual Learning Dialogue Systems
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Author : Sahisnu Mazumder
language : en
Publisher: Springer Nature
Release Date : 2024-02-09

Lifelong And Continual Learning Dialogue Systems written by Sahisnu Mazumder and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-09 with Computers categories.


This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the working environments. The authors present the latest developments and techniques for building such continual learning dialogue systems. The book explains how these developments allow systems to continuously learn new language expressions, lexical and factual knowledge, and conversational skills through interactions and dialogues. Additionally, the book covers techniques to acquire new training examples for learning new tasks during the conversation. The book also reviews existing work on lifelong learning and discusses areas for future research.



Multi Disciplinary Trends In Artificial Intelligence


Multi Disciplinary Trends In Artificial Intelligence
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Author : Phatthanaphong Chomphuwiset
language : en
Publisher: Springer
Release Date : 2021-06-27

Multi Disciplinary Trends In Artificial Intelligence written by Phatthanaphong Chomphuwiset and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-27 with Computers categories.


This book constitutes the refereed proceedings of the 14th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2021, held online in July 2021. The 13 full papers and 3 short papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of topics in theory, methods, and tools in AI sub-areas such as cognitive science, computational philosophy, computational intelligence, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy, recommender systems, security, software engineering, spam filtering, surveillance, telecommunications, Web services, and IoT.



Multi Disciplinary Trends In Artificial Intelligence


Multi Disciplinary Trends In Artificial Intelligence
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Author : Phatthanaphong Chomphuwiset
language : en
Publisher: Springer Nature
Release Date : 2021-06-26

Multi Disciplinary Trends In Artificial Intelligence written by Phatthanaphong Chomphuwiset and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-26 with Computers categories.


This book constitutes the refereed proceedings of the 14th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2021, held online in July 2021. The 13 full papers and 3 short papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of topics in theory, methods, and tools in AI sub-areas such as cognitive science, computational philosophy, computational intelligence, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, data mining, speech, computer vision and the Web as well as their applications in big data, bioinformatics, biometrics, decision support, knowledge management, privacy, recommender systems, security, software engineering, spam filtering, surveillance, telecommunications, Web services, and IoT.



Artificial Intelligence


Artificial Intelligence
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Author : Marco Antonio Aceves-Fernandez
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-06-27

Artificial Intelligence written by Marco Antonio Aceves-Fernandez and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-27 with Computers categories.


Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.



Artificial Intelligence


Artificial Intelligence
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Author : Tim D. Washington
language : en
Publisher: Independently Published
Release Date : 2019-02-27

Artificial Intelligence written by Tim D. Washington and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-27 with Computers categories.


What is Artificial Intelligence? Artificial intelligence is a system that tends to simulate intelligent behaviors into computer-controlled machines or digital computers. Artificial Intelligence normally gives a machine the ability to carry out tasks usually associated with intelligent beings like us. Some of these tasks include translating languages, decision-making, visual perception, and speech recognition. In simple terms, artificial intelligence is the capability of any machine to mimic intelligent human behavior. Contrary to what many may think, Artificial intelligence is not a new field of study. In fact, it is older than most millennials reading this guide now. This may make you wonder when the concept of AI really started and from whence it came. As you will learn, machine learning is going to be a big deal in the world of technology. Those who would have started using it to unlock their data will greatly benefit from it even before people realize it exists. As a smart person, you should use this book to familiarize yourself with how machine learning works and then learn how to use it to your advantage. These days, AI is associated with the high-tech companies that dominate the field. Artificial intelligence first started as an academic discipline, but it has since sunken its tendrils into the business sector. Many AI researchers have abandoned academia altogether and flocked to companies like Facebook, Microsoft, Alphabet (Google) Amazon, openAI, and so on. The said companies are all working on different machine learning algorithms and are without a doubt at the forefront of AI research. Those with advanced degrees in AI, computer science, and maths rather join the engineering teams of these companies than stay in the academia. And since they are at the bleeding edge, it is worth listening to what their leaders have to say. Some have been quiet on the concerns about AI, and others like Amazon's Bezos have said that they aren't worried about potential AI threats. But, other visionaries like Bill Gates, Elon Musk, and physicist Stephen Hawking have all voiced their opinions on the potential dangers of Artificial Intelligence. In January 2015, Hawking, Musk, and several other AI experts signed an open letter on artificial intelligence research, calling for increased study on the potential effects on society. The twelve-page document is entitled "Research Priorities for Robust and Beneficial Artificial Intelligence: An Open Letter". It calls for further research on new AI legislation, privacy, ethics research, and several other concerns. As described in the letter, the potential threats of artificial intelligence can fall into multiple dimensions. The good news is that the early stages of AI development that we find ourselves in are malleable. The future is ours to create, provided that proper time and care go into the non-engineering side of AI research and policy. Book Outline: Chapter 1 - Artificial Beings, a Brief History of the Human Psyche Chapter 2 - Top Six AI Myths Chapter 3 - Why AI is the New Business Degree Chapter 4 - Understanding Machine Learning Chapter 5 - Machine Learning Steps Chapter 6 - Robotics Chapter 7 - Natural Language Processing



Rebooting Ai


Rebooting Ai
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Author : Gary Marcus
language : en
Publisher: Vintage
Release Date : 2019-09-10

Rebooting Ai written by Gary Marcus and has been published by Vintage this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.


Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.



Artificial Intelligence


Artificial Intelligence
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Author : Christina Ahmet
language : en
Publisher: Shockwave Publishing via PublishDrive
Release Date : 2018-11-20

Artificial Intelligence written by Christina Ahmet and has been published by Shockwave Publishing via PublishDrive this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-20 with Computers categories.


Currently, Artificial Intelligence (AI) lives amongst the human population. They reside in smartphones. They help people find content on the internet. They learn the behavior of their owners and put out relevant, interesting content to enhance their owner's experience while they are browsing on the internet. In this book you will learn all about Artificial Intelligence and how it will affect your life in the near future. Learn exactly what Artificial Intelligence is Machine Learning AI and The Internet Of Things Opportunities for Artificial Intelligence Intelligent IoT and much much more!



Ai 2023 Advances In Artificial Intelligence


Ai 2023 Advances In Artificial Intelligence
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Author : Tongliang Liu
language : en
Publisher: Springer Nature
Release Date : 2023-11-26

Ai 2023 Advances In Artificial Intelligence written by Tongliang Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-26 with Computers categories.


This two-volume set LNAI 14471-14472 constitutes the refereed proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, held in Brisbane, QLD, Australia during November 28 – December 1, 2023. The 23 full papers presented together with 59 short papers were carefully reviewed and selected from 213 submissions. They are organized in the following topics: computer vision; deep learning; machine learning and data mining; optimization; medical AI; knowledge representation and NLP; explainable AI; reinforcement learning; and genetic algorithm..