Products related to Efficiency:
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Low-Power Computer Vision : Improve the Efficiency of Artificial Intelligence
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones).This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015.The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.
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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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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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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 artificial intelligence a tremendous gain in efficiency or a loss of humanity?
Artificial intelligence can be seen as a tremendous gain in efficiency as it has the potential to automate repetitive tasks, analyze large amounts of data, and improve decision-making processes. However, some argue that it may lead to a loss of humanity by replacing human jobs, reducing human interaction, and raising ethical concerns about the use of AI in sensitive areas such as healthcare and law enforcement. Ultimately, the impact of AI on humanity depends on how it is developed, regulated, and integrated into society.
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What is the efficiency in electrical engineering?
Efficiency in electrical engineering refers to the ratio of useful output energy or power to the input energy or power. It measures how effectively a system or device converts input energy into useful output energy. In electrical engineering, efficiency is a crucial factor in designing and evaluating electrical systems, as it directly impacts the performance and cost-effectiveness of devices such as motors, transformers, and power supplies. High efficiency is desirable as it minimizes energy losses and reduces operating costs.
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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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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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Innovation in Energy Security and Long-Term Energy Efficiency
The sustainable development of our planet depends on the use of energy. The growing population of the world inevitably causes an increase in the demand for energy, which, on the one hand, threatens the potential for shortages of energy supply, and, on the other hand, causes the deterioration of the environment.Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play a role in affecting the behavior of households and companies, by causing behavioral change oriented to energy stewardship, and an overall switch to renewable energy resources. This book provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate the driving of societies to long-term energy efficiency.
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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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Adopting Artificial Intelligence Tools in Higher Education : Teaching and Learning
The book offers a modern exploration of the intersection of technology and education.It examines the prospects of integrating different AI tools into higher education and explores the challenges, opportunities, and innovative solutions for the different issues surrounding the use of AI in higher education. Each chapter discusses a different area where AI can enhance the educational landscape, such as AI Integration in Higher Education and Immersive Virtual Reality-Based Learning Environments.The book also emphasizes Student-Centered Learning, AI-powered frameworks for academic excellence, and Learner-Centric Pedagogies.Furthermore, it delves into the role of AI in Personalized Learning in STEM courses, the development of AI-based Tutoring Systems, and the use of Machine Learning to identify students' mental health status.The volume concludes with "Dynamic Horizon," which examines how AI and gamification are shaping higher education. This book is essential for educators, administrators, researchers, and policymakers who want to leverage AI to create an adaptive, personalized, and engaging learning environment. "Adopting Artificial Intelligence Tools in Higher Education" provides valuable insights into the future of education, paving the way for a more empowered and enlightened academic world.
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What is the efficiency of a space heater with 100% efficiency?
A space heater with 100% efficiency would convert all the electrical energy it consumes into heat, making it extremely efficient. This means that all the energy input is converted into useful output, with no waste. However, it's important to note that achieving 100% efficiency in real-world devices is extremely difficult due to factors such as heat loss and other inefficiencies in the system.
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What is energy efficiency?
Energy efficiency refers to using less energy to perform the same task or function, ultimately reducing energy waste and lowering energy costs. This can be achieved through various methods such as using energy-efficient appliances, improving insulation in buildings, and implementing energy-saving practices in industrial processes. Energy efficiency is an important aspect of sustainable development and can help reduce greenhouse gas emissions and mitigate the impact of climate change. By improving energy efficiency, we can conserve natural resources and create a more sustainable and environmentally friendly energy system.
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What is the efficiency?
Efficiency is a measure of how well resources are utilized to achieve a specific goal or outcome. It is often expressed as the ratio of output to input, showing how much output is produced per unit of input. High efficiency means that resources are being used effectively and wastage is minimized, leading to optimal results. In contrast, low efficiency indicates that resources are not being utilized efficiently, resulting in lower productivity and potentially higher costs.
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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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