Download or read book Large Language Models written by Oswald Campesato and published by Stylus Publishing, LLC. This book was released on 2024-09-17 with total page 517 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins with an overview of the Generative AI landscape, distinguishing it from conversational AI and shedding light on the roles of key players like DeepMind and OpenAI. It then reviews the intricacies of ChatGPT, GPT-4, Meta AI, Claude 3, and Gemini, examining their capabilities, strengths, and competitors. Readers will also gain insights into the BERT family of LLMs, including ALBERT, DistilBERT, and XLNet, and how these models have revolutionized natural language processing. Further, the book covers prompt engineering techniques, essential for optimizing the outputs of AI models, and addresses the challenges of working with LLMs, including the phenomenon of hallucinations and the nuances of fine-tuning these advanced models. Designed for software developers, AI researchers, and technology enthusiasts with a foundational understanding of AI, this book offers both theoretical insights and practical code examples in Python. Companion files with code, figures, and datasets are available for downloading from the publisher. FEATURES: Covers in-depth explanations of foundational and advanced LLM concepts, including BERT, GPT-4, and prompt engineering Uses practical Python code samples in leveraging LLM functionalities effectively Discusses future trends, ethical considerations, and the evolving landscape of AI technologies Includes companion files with code, datasets, and images from the book -- available from the publisher for downloading (with proof of purchase)

Download or read book Generative AI and Implications for Ethics Security and Data Management written by Gomathi Sankar, Jeganathan and published by IGI Global. This book was released on 2024-08-21 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.

Download or read book Building Intelligent Applications with Generative AI written by Yattish Ramhorry and published by BPB Publications. This book was released on 2024-08-22 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways. KEY FEATURES ● Learn the fundamentals of generative AI and the practical usage of prompt engineering. ● Gain hands-on experience in building generative AI applications. ● Learn to use tools like LangChain, LangSmith, and FlowiseAI to create intelligent applications and AI chatbots. WHAT YOU WILL LEARN ● Understand generative AI (GAI) and large language models (LLMs). ● Explore real-world GAI applications across industries. ● Build intelligent applications with the ChatGPT API. ● Explore retrieval augmented generation with LangChain and Gemini Pro. ● Create chatbots with LangChain and Streamlit for data retrieval. WHO THIS BOOK IS FOR This book is for developers, data scientists, AI practitioners, and tech enthusiasts who are interested in leveraging generative AI techniques to build intelligent applications across various domains. TABLE OF CONTENTS 1. Exploring the World of Generative AI 2. Use Cases for Generative AI Applications 3. Mastering the Art of Prompt Engineering 4. Integrating Generative AI Models into Applications 5. Emerging Trends and the Future of Generative AI 6. Building Intelligent Applications with the ChatGPT API 7. Retrieval Augmented Generation with Gemini Pro 8. Generative AI Applications with Gradio 9. Visualize your Data with LangChain and Streamlit 10. Building LLM Applications with Llama 2 11. Building an AI Document Chatbot with Flowise AI 12. Best Practices for Building Applications with Generative AI 13. Ethical Considerations of Generative AI

Download or read book Google Machine Learning and Generative AI for Solutions Architects written by Kieran Kavanagh and published by Packt Publishing Ltd. This book was released on 2024-06-28 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical approach Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies. You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process. By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.

Download or read book Artificial Intelligence For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2024-11-20 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the intelligence that powers artificial intelligence Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence. You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence. Learn the basics of AI hardware and software, and how intelligence is created from code Get up to date with the latest AI trends and disruptions across industries Wrap your mind around what the AI revolution means for humanity, and for you Discover tips on using generative AI ethically and effectively Artificial Intelligence For Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Download or read book ChatGPT for Conversational AI and Chatbots written by Adrian Thompson and published by Packt Publishing Ltd. This book was released on 2024-07-30 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore ChatGPT technologies to create state-of-the-art chatbots and voice assistants, and prepare to lead the AI revolution Key Features Learn how to leverage ChatGPT to create innovative conversational AI solutions for your organization Harness LangChain and delve into step-by-step LLM application development for conversational AI Gain insights into security, privacy, and the future landscape of large language models and conversational AI Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionChatGPT for Conversational AI and Chatbots is a definitive resource for exploring conversational AI, ChatGPT, and large language models. This book introduces the fundamentals of ChatGPT and conversational AI automation. You’ll explore the application of ChatGPT in conversation design, the use of ChatGPT as a tool to create conversational experiences, and a range of other practical applications. As you progress, you’ll delve into LangChain, a dynamic framework for LLMs, covering topics such as prompt engineering, chatbot memory, using vector stores, and validating responses. Additionally, you’ll learn about creating and using LLM-enabling tools, monitoring and fine tuning, LangChain UI tools such as LangFlow, and the LangChain ecosystem. You’ll also cover popular use cases, such as using ChatGPT in conjunction with your own data. Later, the book focuses on creating a ChatGPT-powered chatbot that can comprehend and respond to queries directly from your unique data sources. The book then guides you through building chatbot UIs with ChatGPT API and some of the tools and best practices available. By the end of this book, you’ll be able to confidently leverage ChatGPT technologies to build conversational AI solutions.What you will learn Gain a solid understanding of ChatGPT and its capabilities and limitations Understand how to use ChatGPT for conversation design Discover how to use advanced LangChain techniques, such as prompting, memory, agents, chains, vector stores, and tools Create a ChatGPT chatbot that can answer questions about your own data Develop a chatbot powered by ChatGPT API Explore the future of conversational AI, LLMs, and ChatGPT alternatives Who this book is for This book is for tech-savvy readers, conversational AI practitioners, engineers, product owners, business analysts, and entrepreneurs wanting to integrate ChatGPT into conversational experiences and explore the possibilities of this game-changing technology. Anyone curious about using internal data with ChatGPT and looking to stay up to date with the developments in large language models will also find this book helpful. Some expertise in coding and standard web design concepts would be useful, along with familiarity with conversational AI terminology, though not essential.

Download or read book Deep Learning with JAX written by Grigory Sapunov and published by Simon and Schuster. This book was released on 2024-10-29 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google’s Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations. In Deep Learning with JAX you will learn how to: • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax • Leverage libraries and modules from the JAX ecosystem Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX’s concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You’ll learn how to use JAX’s ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Google’s JAX offers a fresh vision for deep learning. This powerful library gives you fine control over low level processes like gradient calculations, delivering fast and efficient model training and inference, especially on large datasets. JAX has transformed how research scientists approach deep learning. Now boasting a robust ecosystem of tools and libraries, JAX makes evolutionary computations, federated learning, and other performance-sensitive tasks approachable for all types of applications. About the book Deep Learning with JAX teaches you to build effective neural networks with JAX. In this example-rich book, you’ll discover how JAX’s unique features help you tackle important deep learning performance challenges, like distributing computations across a cluster of TPUs. You’ll put the library into action as you create an image classification tool, an image filter application, and other realistic projects. The nicely-annotated code listings demonstrate how JAX’s functional programming mindset improves composability and parallelization. What's inside • Use JAX for numerical calculations • Build differentiable models with JAX primitives • Run distributed and parallelized computations with JAX • Use high-level neural network libraries such as Flax About the reader For intermediate Python programmers who are familiar with deep learning. About the author Grigory Sapunov holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning. The technical editor on this book was Nicholas McGreivy. Table of Contents Part 1 1 When and why to use JAX 2 Your first program in JAX Part 2 3 Working with arrays 4 Calculating gradients 5 Compiling your code 6 Vectorizing your code 7 Parallelizing your computations 8 Using tensor sharding 9 Random numbers in JAX 10 Working with pytrees Part 3 11 Higher-level neural network libraries 12 Other members of the JAX ecosystem A Installing JAX B Using Google Colab C Using Google Cloud TPUs D Experimental parallelization

Download or read book Learning with AI written by Joan Monahan Watson and published by JHU Press. This book was released on 2024-11-26 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Developed for primary and secondary school teachers, this book presents a powerful overview of the evolving trends of AI in education and offers invaluable insights into what artificial intelligence can accomplish in the classroom and beyond. From interactive learning techniques to advanced assignment and assessment strategies, this comprehensive guide offers practical suggestions for integrating AI effectively into teaching and learning environments"--

Download or read book Progress in Artificial Intelligence written by Manuel Filipe Santos and published by Springer Nature. This book was released on with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Practical Digital Marketing and AI Psychology written by J. Jonathan Gabay and published by Taylor & Francis. This book was released on 2024-08-05 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Digital Marketing and AI Psychology explores how successful brands utilise both psychology and cutting-edge artificial intelligence technologies to maximise digital marketing strategies. Psychology has long been a foundation for successful marketing strategies, and evolving AI technologies are opening up new opportunities for marketers to help brands build trust and loyalty online. In this exceptional book, award-winning writer Jonathan Gabay delves into fascinating psychological digital marketing techniques and concepts, explaining the practical psychology and science you need to lift your marketing career to the next level. Gabay explores how new technologies can be harnessed to increase their impact significantly. The book provides practical tips and contemporary best-practice examples, including prompt engineering, the psychology behind mission statements and logo design, gamification, the possibilities and pitfalls of social media, among many more areas that will ensure your brand is trusted, valued, and desired. This definitive book is perfect for marketing students up to PhD level and digital marketing, PR, and sales professionals looking for a fascinating, compelling read, packed with ideas and examples, that combines academic excellence with practical advice – all written and presented in a highly accessible style.

Download or read book AI in Customer Service Transforming Customer Experience for the Digital Age written by Dizzy Davidson and published by Pure Water Books. This book was released on 2024-08-26 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you struggling to fully understand how AI can revolutionize your customer service? Are you looking for ways to enhance customer interactions and boost satisfaction? Look no further! “AI in Customer Service: Transforming Customer Experience for the Digital Age” is your ultimate guide to harnessing the power of AI to elevate your customer service game. This book provides a comprehensive overview of how AI technologies can be integrated into customer service operations to deliver exceptional experiences. Benefits of Reading This Book: Unlock the potential of AI to automate and streamline customer support. Learn how to personalize customer interactions using AI-driven insights. Discover tools and techniques for sentiment analysis and predictive analytics. Implement AI-powered chatbots and virtual assistants to provide 24/7 support. Enhance security with AI-based fraud detection systems. Expand your reach with multilingual support capabilities. This book is packed with practical examples, case studies, and actionable strategies that will help you understand and apply AI concepts effectively. Whether you’re a business owner, customer service manager, or tech enthusiast, this book offers valuable insights to stay ahead in the digital age. Why This Book is a Must-Read: Comprehensive Coverage From chatbots to predictive analytics, this book covers all essential AI applications in customer service. Real-World Examples to Learn from successful implementations and case studies. Actionable Insights to Get practical tips and strategies to apply AI concepts in your business. Future-Proof Your Skills to Stay updated with the latest trends and technologies in AI. Don’t miss out on the opportunity to transform your customer service with AI! Get your copy of “AI in Customer Service: Transforming Customer Experience for the Digital Age” today and start reaping the benefits of cutting-edge technology. Become knowledgeable about AI and lead your business into the future! Bullet Points 24/7 AI-Powered Support Personalized Customer Interactions Sentiment Analysis Tools Predictive Analytics for Proactive Support Voice and Virtual Assistants Self-Service Portals Fraud Detection Systems Multilingual Support Get this book now to unlock the full potential of AI in customer service and transform your customer experience for the digital age. Become an AI-savvy leader and drive your business to new heights.

Download or read book The AI Book written by Ivana Bartoletti and published by John Wiley & Sons. This book was released on 2020-06-04 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

Download or read book Racist Love written by Leslie Bow and published by Duke University Press. This book was released on 2021-12-13 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Racist Love Leslie Bow traces the ways in which Asian Americans become objects of anxiety and desire. Conceptualizing these feelings as “racist love,” she explores how race is abstracted and then projected onto Asianized objects. Bow shows how anthropomorphic objects and images such as cartoon animals in children’s books, home décor and cute tchotchkes, contemporary visual art, and artificially intelligent robots function as repositories of seemingly positive feelings and attachment to Asianness. At the same time, Bow demonstrates that these Asianized proxies reveal how fetishistic attraction and pleasure serve as a source of anti-Asian bias and violence. By outlining how attraction to popular representations of Asianness cloaks racial resentment and fears of globalization, Bow provides a new means of understanding the ambivalence surrounding Asians in the United States while offering a theory of the psychological, affective, and symbolic dynamics of racist love in contemporary America.

Download or read book Artificial Intelligence and Society written by Dr. R. B. Konda, Dr. Mahesh M. Ganwar, Prof. Kaveri Kori, Dr. Hanmanthappa Sedamkar, Dr. Manikamma S., Dr. Saibanna. & Dr. Mitradevi Halimani and published by Laxmi Book Publication. This book was released on 2024-11-08 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of AI-powered e-gamified modules in education has significantly impacted students' scientific attitudes and academic achievement in science. This study investigates how AI-driven gamification enhances engagement, critical thinking, and problem-solving skills, leading to improved academic performance. AI enables personalized learning experiences by adapting to individual student needs, thus fostering a more interactive and learner-centered approach. E-gamified modules provide immediate feedback, motivating students to correct errors and reinforce learning. The main aim of the study is to find out whether there is any significant difference between pre-test & post-test mean scores of secondary school students taught with and without AI-powered e-gamified modules in science. 80 Samples were chosen by employing purposive sampling technique. The researcher has used standardized PhET simulation modules. The results show that the post-test mean scores of the experimental group are significantly different than that of the control group. The study suggests that when students are exposed to AI-powered gamified learning environments, they develop a more positive disposition toward scientific methods and show measurable improvements in performance. This research highlights the potential of AI in transforming traditional education by making learning more dynamic, personalized, and effective, thereby fostering a deeper understanding of science and its applications.

Download or read book Essential Guide to LLMOps written by RYAN. DOAN and published by Packt Publishing Ltd. This book was released on 2024-07-31 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the secrets to mastering LLMOps with innovative approaches to streamline AI workflows, improve model efficiency, and ensure robust scalability, revolutionizing your language model operations from start to finish Key Features Gain a comprehensive understanding of LLMOps, from data handling to model governance Leverage tools for efficient LLM lifecycle management, from development to maintenance Discover real-world examples of industry cutting-edge trends in generative AI operation Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications. This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications. By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI. What you will learn Understand the evolution and impact of LLMs in AI Differentiate between LLMOps and traditional MLOps Utilize LLMOps tools for data analysis, preparation, and fine-tuning Master strategies for model development, deployment, and improvement Implement techniques for model inference, serving, and scalability Integrate human-in-the-loop strategies for refining LLM outputs Grasp the forefront of emerging technologies and practices in LLMOps Who this book is for This book is for machine learning professionals, data scientists, ML engineers, and AI leaders interested in LLMOps. It is particularly valuable for those developing, deploying, and managing LLMs, as well as academics and students looking to deepen their understanding of the latest AI and machine learning trends. Professionals in tech companies and research institutions, as well as anyone with foundational knowledge of machine learning will find this resource invaluable for advancing their skills in LLMOps.

Download or read book Smoke Mirrors written by Gemma Milne and published by Robinson. This book was released on 2020-04-23 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Stop following the news until you've read Gemma Milne's persuasive analysis of the hype and bullshit that distort our understanding of emerging science. As she shows, the starting point to grasping the genuine opportunities of AI, life sciences and climate tech is a healthy dose of critical thinking' David Rowan, founding editor of WIRED UK and author of Non-Bullshit Innovation: Radical Ideas from the World's Smartest Minds 'Couldn't be more timely. Fascinating and vitally important' Jamie Bartlett, author of The People Vs Tech 'A much-needed blast of fresh air! Gemma Milne expertly shows us how to separate the truth from the hype surrounding the emerging techs of today, and those of the near-tomorrow' Lewis Dartnell, author of Origins: How the Earth Made Us 'I loved this book! This is exactly the sort of sceptical, cut-through-the crap-but-still-excited-about-what's-emerging book around tech innovation that's sorely needed, yet is so hard to find . . . essential reading for anyone who's serious about how real-world advances might be effectively harnessed to build a better future' Dr Andrew Maynard, scientist and author of Films from the Future and Future Rising '[A] vital contribution in a world where technological progress promises so much, but too often disappoints. If, like me, you believe that advances in science and technology are our best hope for solving the grand challenges of our times, this book is the indispensable guide to avoiding the mirages and the charlatans along the way' Matt Clifford, co-founder and CEO of Entrepreneur First 'A refreshingly grown-up, clear-headed look at the interaction between science, technology and the media - readable without being dumbed down, acknowledging complexities without being heavy' Tom Chivers, author of The AI Does Not Hate You 'ROBOTS WILL STEAL YOUR JOB!' 'AI WILL REVOLUTIONISE FARMING!' 'GENETIC EDITING WILL CURE CANCER!' Bombastic headlines about science and technology are nothing new. To cut through the constant stream of information and misinformation on social media, or grab the attention of investors, or convince governments to take notice, strident headlines or bold claims seem necessary to give complex, nuanced information some wow factor. But hype has a dark side, too. It can mislead. It can distract. It can blinker us from seeing what is actually going on. From AI, quantum computing and brain implants, to cancer drugs, future foods and fusion energy, science and technology journalist Gemma Milne reveals hype to be responsible for fundamentally misdirecting or even derailing crucial progress. Hype can be combated and discounted, though, if you're able to see exactly where, how and why it is being deployed. This book is your guide to doing just that.

Download or read book Neuromorphic Computing Systems for Industry 4 0 written by Dhanasekar, S. and published by IGI Global. This book was released on 2023-07-19 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: As artificial intelligence (AI) processing moves from the cloud to the edge of the network, battery-powered and deeply embedded devices are challenged to perform AI functions such as computer vision and voice recognition. Microchip Technology Inc., via its Silicon Storage Technology (SST) subsidiary, is addressing this challenge by significantly reducing power with its analog memory technology, the memBrain Memory Solution. The memBrain solution is being adopted by today’s companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory computer solution is ideal for an AI application. Neuromorphic Computing Systems for Industry 4.0 covers the available literature in the field of neural computing-based microchip technology. It provides further research opportunities in this dynamic field. Covering topics such as emotion recognition, biometric authentication, and neural network protection, this premier reference source is an essential resource for technology developers, computer scientists, engineers, students and educators of higher education, librarians, researchers, and academicians.