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What Is Artificial Intelligence?
Explores the history of artificial intelligence and how the technology works.Clear text, vibrant photos, and helpful infographics make this book an accessible and engaging read.
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Artificial Intelligence. What is it, exactly?
What exactly is artificial intelligence?This book is for all those who are curious to learn what artificial intelligence (AI) is. It is a purposely brief introduction to the subject, that has been kept as elementary as possible to make it user-friendly. It has been written by reputed researchers in the field, on the initiative of the GDR IA, a research group of the French National Center for Scientific Research (CNRS), dedicated to the formal and algorithmic aspects of AI. What exactly is artificial intelligence? This book is for all those who are curious to learn what artificial intelligence (AI) is. It is a purposely brief introduction to the subject, that has been kept as elementary as possible to make it user-friendly. It has been written by reputed researchers in the field, on the initiative of the GDR IA, a research group of the French National Center for Scientific Research (CNRS), dedicated to the formal and algorithmic aspects of AI. This makes it unique in its kind because it aims at covering artificial intelligence in all its aspects and all its diversity. It comprises a brief history of AI and a presentation of its key concepts; it describes the principal areas where AI is at work, the interactions between AI and other scientific disciplines and finally answers questions that are often raised about AI. It ends with a glossary of technical terms used and a selected list of references. This book has been translated into English by Rosemary Patricot and Philippe Dague This makes it unique in its kind because it aims at covering artificial intelligence in all its aspects and all its diversity. It comprises a brief history of AI and a presentation of its key concepts; it describes the principal areas where AI is at work, the interactions between AI and other scientific disciplines and finally answers questions that are often raised about AI. It ends with a glossary of technical terms used and a selected list of references. This book has been translated into English by Rosemary Patricot and Philippe Dague
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Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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Food Engineering Automation with Robotics and AI
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Which programming language is used for robotics and artificial intelligence?
Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.
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Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
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What is artificial intelligence?
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, typically computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI technologies enable machines to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is a rapidly evolving field with applications in various industries, including healthcare, finance, transportation, and entertainment.
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What is artificial intelligence and what are artificial problems?
Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems can be designed to learn from data, adapt to new inputs, and perform tasks with minimal human intervention. Artificial problems, on the other hand, are challenges or obstacles that arise in the development and implementation of AI systems. These problems can include issues related to data quality and availability, algorithmic bias, ethical considerations, and the potential impact of AI on the job market and society. Addressing these artificial problems is crucial for the responsible and effective deployment of AI technologies.
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Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education
Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling.As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression.This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability.Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
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Artificial Intelligence : What Everyone Needs to Know®
Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly.It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions.Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans.Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point.They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use.Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses.Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property?Who should be held responsible when a self-driving car kills a pedestrian?Can your personal robot hold your place in line, or be compelled to testify against you?If it turns out to be possible to upload your mind into a machine, is that still you?The answers may surprise you.
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Makerspaces, Innovation and Science Education : How, Why, and What For?
This book provides an overview to a range of theories in science and technology that inform the different ways in which makerspaces can be educative.Makerspaces are an indispensable site for science, technology, engineering, and mathematics (STEM) instruction and pose novel risks and opportunities for STEM instruction.Educators are likely to reach towards activities that have a high degree of engagement, but this might result in observations like 'it looks like fun, but what are they learning?'. Beginning from the question of how we know what we know in science, the author asserts that understanding scientific knowledge requires us to know more than the abstract concepts typically presented in schools.The social and material aspects of knowledge are also important—these take the form of questions such as: What is the interplay between knowledge and power?How do we understand that we can have a ‘feel’ for materials and artefacts that we cannot completely describe in words?How do we know what ideas ought to be made real though technology and engineering?Significantly, this book also discusses the ethical dimensions of STEM education, in thinking about the kinds of STEM education that could be useful for open futures. This book will be useful to graduate students and educators seeking an expansive view of STEM education.More generally, these ideas outline a possible new strategy for a vision of school that is not merely training or preparing students for work.Education needs to also prepare students for sociopolitical participation, and with STEM being central to our contemporary lives, this book provides insights for how this can happen in makerspaces.
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Generative Artificial Intelligence : What Everyone Needs to Know®
"AI expert Jerry Kaplan explains how generative AI will revolutionize virtually every human activity.Highly recommended." - Francis Fukuyama, Political scientist and author of The End of History and the Last Man Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information.Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art.These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers. Have we finally discovered the holy grail of AI - machines that match or exceed human intelligence?Which industries and professions will thrive, and which will wither?What risks and dangers will it pose? How can we ensure that these systems respect our ethical principles?Will the benefits be broadly distributed or accrue to a lucky few?How will GAI alter our political systems and international conflicts?Are we merely a stepping stone to a new form of non-biological life, or are we just getting better at building useful gadgets?Generative Artificial Intelligence: What Everyone Needs to Know® equips readers with the knowledge to answer these pressing questions.
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What is this artificial intelligence?
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, typically computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding. AI technologies are designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is a rapidly evolving field with applications in various industries, including healthcare, finance, transportation, and entertainment.
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What about my artificial intelligence?
Your artificial intelligence is a powerful tool that can be used to automate tasks, analyze data, and make predictions. It has the potential to greatly improve efficiency and decision-making in various industries. However, it is important to ensure that your AI is ethically and responsibly developed and used, taking into consideration factors such as bias, privacy, and transparency. Additionally, ongoing monitoring and updating of your AI system is crucial to ensure its continued effectiveness and accuracy.
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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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What is artificial intelligence in 2021?
In 2021, artificial intelligence (AI) refers to the development and use of computer systems that can perform tasks that typically require human intelligence. This includes activities such as visual perception, speech recognition, decision-making, and language translation. AI is being used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnostics. In 2021, AI is also increasingly being integrated into various industries to improve efficiency, productivity, and decision-making processes.
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