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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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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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Law 3.0 : Rules, Regulation, and Technology
Putting technology front and centre in our thinking about law, this book introduces Law 3.0: the future of the legal landscape. Technology not only disrupts the traditional idea of what it is ‘to think like a lawyer,’ as per Law 1.0; it presents major challenges to regulators who are reasoning in a Law 2.0 mode.As this book demonstrates, the latest developments in technology offer regulators the possibility of employing a technical fix rather than just relying on rules – thus, we are introducing Law 3.0.Law 3.0 represents, so to speak, the state we are in and the conversation that we now need to have, and this book identifies some of the key points for discussion in that conversation.Thinking like a lawyer might continue to be associated with Law 1.0, but from 2020 onward, Law 3.0 is the conversation that we all need to join. And, as this book argues, law and the evolution of legal reasoning cannot be adequately understood unless we grasp the significance of technology in shaping both legal doctrine and our regulatory thinking. This is a book for those studying, or about to study, law – as well as others with interests in the legal, political, and social impact of technology.
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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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Are there fixed rounding rules in electrical engineering?
Yes, there are fixed rounding rules in electrical engineering. When dealing with measurements and calculations in electrical engineering, it is important to follow specific rounding rules to ensure accuracy and consistency in the results. Common rounding rules include rounding to a certain number of decimal places or significant figures, depending on the precision required for the specific application. Adhering to these fixed rounding rules helps to minimize errors and maintain the integrity of the calculations in electrical engineering.
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What are the rules and regulations in electrical engineering?
Electrical engineering is governed by a set of rules and regulations to ensure the safety and reliability of electrical systems. These regulations include building codes, safety standards, and industry-specific guidelines. For example, electrical engineers must adhere to the National Electrical Code (NEC) in the United States, which outlines the requirements for electrical installations. Additionally, engineers must follow standards set by organizations such as the Institute of Electrical and Electronics Engineers (IEEE) and the International Electrotechnical Commission (IEC) to ensure that their designs and installations meet industry best practices. Compliance with these rules and regulations is essential to prevent electrical hazards and ensure the proper functioning of electrical systems.
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Geotechnical Engineering Calculations and Rules of Thumb
Geotechnical Engineering Calculations and Rules of Thumb, Second Edition, offers geotechnical, civil and structural engineers a concise, easy-to-understand approach to selecting the right formula and solving even most difficult calculations in geotechnical engineering.A "quick look up guide", this book places formulas and calculations at the reader’s finger tips.In this book, theories are explained in a "nutshell" and then the calculation is presented and solved in an illustrated, step-by-step fashion.In its first part, the book covers the fundamentals of Geotechnical Engineering: Soil investigation, condition and theoretical concepts.In the second part it addresses Shallow Foundations, including bearing capacity, elastic settlement, foundation reinforcement, grillage design, footings, geogrids, tie and grade beams, and drainage.This session ends with a chapter on selecting foundation types.The next part covers Earth Retaining Structures and contains chapters on its basic concepts and types, gabion walls and reinforced earth walls.The following part covers Geotechnical Engineering Strategies providing coverage of softwares, instrumentation, excavations, raft design, rock mechanics, dip angle and strike, rock stabilization equipment, soil anchors, tunnel design, seismology, geosynthetics, and slurry cutoff walls.The final part is on Pile Foundations including content on design on sandy soils, clay soils, pin piles, negative skin friction, caissons and pile clusters.In this new and updated edition the author has incorporated new software calculation tools, current techniques for foundation design, liquefaction information, seismic studies, laboratory soil tests, geophysical techniques, new concepts for foundation design and Dam designs.All calculations have been updated to most current material characteristics available in the market.Practicing Geotechnical, Civil and Structural Engineers may find in this book an excellent companion to their day-to day work, benefiting from the clear and direct calculations, examples, and cases.Civil Engineering students may find particular interest in the concise theory presented in the beginning of each chapter.
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Engineering Rules : Global Standard Setting since 1880
The first global history of voluntary consensus standard setting. Finalist, Hagley Prize in Business History, The Hagley Museum and Library / The Business History ConferencePrivate, voluntary standards shape almost everything we use, from screw threads to shipping containers to e-readers.They have been critical to every major change in the world economy for more than a century, including the rise of global manufacturing and the ubiquity of the internet.In Engineering Rules, JoAnne Yates and Craig N. Murphy trace the standard-setting system's evolution through time, revealing a process with an astonishingly pervasive, if rarely noticed, impact on all of our lives.This type of standard setting was established in the 1880s, when engineers aimed to prove their status as professionals by creating useful standards that would be widely adopted by manufacturers while satisfying corporate customers.Yates and Murphy explain how these engineers' processes provided a timely way to set desirable standards that would have taken much longer to emerge from the market and that governments were rarely willing to set.By the 1920s, the standardizers began to think of themselves as critical to global prosperity and world peace.After World War II, standardizers transcended Cold War divisions to create standards that made the global economy possible.Finally, Yates and Murphy reveal how, since 1990, a new generation of standardizers has focused on supporting the internet and web while applying the same standard-setting process to regulate the potential social and environmental harms of the increasingly global economy. Drawing on archival materials from three continents, Yates and Murphy describe the positive ideals that sparked the standardization movement, the ways its leaders tried to realize those ideals, and the challenges the movement faces today.Engineering Rules is a riveting global history of the people, processes, and organizations that created and maintain this nearly invisible infrastructure of today's economy, which is just as important as the state or the global market.
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Advances in Robotics and Artificial Intelligence
The reality of autonomous machines with artificial intelligence is becoming more real every day.The ability of machines to think and learn fascinates everyone, but now even the most reluctant readers have a chance to engage in learning about the history and future of robotics.This book covers everything from the 18th century French automatons to Ada Lovelace and Alan Turing, from self-driving cars and smart homes to assembly and military robots.Each spread is complimented with vivid artwork that further illuminates the accessible, exciting text.
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Artificial Intelligence And Innovation Management
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate.It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation).The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions.They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).
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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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Which rules?
The rules that govern our behavior, interactions, and decisions in various aspects of life. These rules can be societal norms, laws, regulations, or guidelines set by organizations or institutions. Adhering to these rules helps maintain order, promote fairness, and ensure the well-being of individuals and society as a whole. It is important to understand and follow these rules to contribute positively to our communities and environments.
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How could society of tomorrow look like as artificial intelligence and automation continue to advance?
As artificial intelligence and automation continue to advance, the society of tomorrow could see significant changes in various aspects of life. There may be increased efficiency and productivity in industries, leading to a shift in the job market and the need for new skill sets. There could also be advancements in healthcare, transportation, and communication, improving the overall quality of life. However, there may also be concerns about job displacement and the ethical implications of AI, leading to a need for new regulations and policies to ensure a fair and equitable society. Overall, the society of tomorrow could be more technologically advanced, but it will also require careful consideration of the social and ethical impacts of these advancements.
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What are rules?
Rules are guidelines or instructions that dictate how individuals should behave or act in a particular situation or setting. They are put in place to maintain order, ensure fairness, and promote safety. Rules can be formal, such as laws or regulations, or informal, like social norms or etiquette. Following rules is important for creating a harmonious and functional society.
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