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Food Engineering Automation with Robotics and AI
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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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AI projects with Raspberry Pi : High-performance artificial intelligence for robotics, security, home automation, and vision
The Raspberry Pi 5 is the perfect computer to experiment with the world of neural networks, artificial intelligence, and machine learning. Coupled with the Raspberry Pi AI Kit, you can integrate local, high-performance, power-efficient inferencing into your projects.WIth the AI Kit, you can build complex AI vision applications, running in real time, with low latency and low power requirements. This book shows you how to get up and running with pretrained models or models you train yourself.You'll learn how to work with models that can:Identify a variety of objects and highlight them for youEstimate the pose of a personal, animal, or robotDiscern facial landmarks such as eyes, nose, and mouthClassify things based on their appearanceWhen you combine Raspberry Pi with artificial intelligence, it gives you the power to create all sorts of things: robots that can interact intelligently with their surroundings, games that use the physical world as a playing field, and home automation systems that adjust to the environment in real time.You're not limited by the pretrained models; with the Hailo Dataflow Compiler (DFC), you can fine-tune the kit for a variety of use cases.With this guide, you'll be up and running with your own Raspberry Pi-powered applications in no time!
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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 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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Can questions be answered with artificial intelligence?
Yes, questions can be answered with artificial intelligence. AI systems are designed to process and analyze large amounts of data to provide accurate and relevant answers to questions. Through natural language processing and machine learning algorithms, AI can understand and interpret questions to generate appropriate responses. AI-powered chatbots, virtual assistants, and search engines are examples of how AI can effectively answer questions in various contexts.
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What is the problem with artificial intelligence?
The problem with artificial intelligence lies in its potential to perpetuate and amplify existing biases and inequalities. AI systems are often trained on biased data, leading to discriminatory outcomes in areas such as hiring, lending, and law enforcement. Additionally, the lack of transparency and accountability in AI decision-making processes raises concerns about the potential for misuse and unethical behavior. Furthermore, the rapid advancement of AI technology raises questions about its impact on the future of work and the potential for job displacement. Overall, the problem with artificial intelligence lies in its potential to exacerbate societal inequalities and ethical concerns if not carefully regulated and implemented.
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Beginning Game AI with Unity : Programming Artificial Intelligence with C#
Game developers will use this book to gain a basic knowledge of programming artificial intelligence using Unity and C#.You will not be bored learning the theory underpinning AI.Instead, you will learn by experience and practice, and complete an engaging project in each chapter. AI is the one of the most popular subjects in gaming today, ranging from controlling the behavior of non-player characters to procedural generated levels.This book starts with an introduction to AI and its use in games.Basic moving behaviors and pathfinding are covered, and then you move through more complex concepts of pathfinding and decision making. What You Will LearnUnderstand the fundamentals of AICreate gameplay-based AI to address navigation and decision-making problemsPut into practice graph theory and behavior modelsAddress pathfinding problemsUse the A* algorithm, the deus ex machina of pathfinding algorithmsCreate a mini stealth gameWho This Book Is ForDevelopers and programming enthusiasts with a basic knowledge of Unity and C# who want to understand and master the foundations of artificial intelligence in games
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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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MATLAB Deep Learning : With Machine Learning, Neural Networks and Artificial Intelligence
Get started with MATLAB for deep learning and AI with this in-depth primer.In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks.In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems.You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll LearnUse MATLAB for deep learningDiscover neural networks and multi-layer neural networksWork with convolution and pooling layersBuild a MNIST example with these layersWho This Book Is ForThose who want to learn deep learning using MATLAB.Some MATLAB experience may be useful.
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How can one combine a training in computer science with artificial intelligence and machine learning?
One can combine a training in computer science with artificial intelligence and machine learning by taking courses or pursuing a specialization in these areas during their computer science degree. This can involve studying topics such as algorithms, data structures, statistics, and programming languages, which are foundational for AI and machine learning. Additionally, participating in research projects, internships, or online courses focused on AI and machine learning can provide practical experience and deepen one's understanding of these fields. Networking with professionals in the AI and machine learning industry and staying updated on the latest advancements can also help in combining these areas effectively.
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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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How can artificial intelligence be implemented with PHP?
Artificial intelligence can be implemented with PHP by using libraries and frameworks such as TensorFlow, Keras, or PHP-ML. These tools provide pre-built functions and algorithms for tasks like machine learning, natural language processing, and computer vision. Developers can integrate these libraries into their PHP applications to leverage AI capabilities and enhance their functionality. Additionally, PHP can be used to build APIs that communicate with AI services or models developed in other languages, allowing for seamless integration of AI features into PHP-based projects.
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Could one win the lottery with artificial intelligence?
It is theoretically possible to use artificial intelligence to increase the chances of winning the lottery by analyzing historical data, patterns, and trends. However, the lottery is ultimately a game of chance, and there is no guaranteed way to win. While AI can help in making more informed decisions when choosing numbers, it cannot guarantee a win due to the random nature of lottery draws. Additionally, many lotteries have strict rules and regulations in place to prevent cheating or manipulation, making it difficult to use AI to gain an unfair advantage.
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