Download or read book Elon Musk The Godfather of Deep Learning written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-30 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the visionary mind of Elon Musk and his profound impact on the future of Artificial Intelligence. This captivating exploration traces Musk's journey from a curious child with a knack for code to a leading figure shaping the trajectory of deep learning. Discover how his ventures like Tesla, SpaceX, and OpenAI are revolutionizing various industries and pushing the boundaries of what AI can achieve. Uncover the core principles of deep learning and its potential to solve humanity's most pressing challenges, from sustainable energy and healthcare advancements to revolutionizing transportation and space exploration. Explore Musk's vision for a future where humans and AI collaborate symbiotically, leveraging the strengths of both to create a more prosperous and sustainable world. This comprehensive exploration delves into: Musk's early fascination with technology and his pivotal role in the rise of Silicon Valley giants. The power of deep learning and its ability to mimic the human brain's learning processes. The potential benefits and existential risks associated with the development of Artificial General Intelligence (AGI). How Neuralink's brain-computer interfaces could bridge the mind-machine gap and redefine human capabilities. Musk's unwavering commitment to responsible AI development and his advocacy for international collaboration and ethical considerations. This is a must-read for anyone fascinated by the transformative power of AI and the visionary mind of Elon Musk, the man who dares to "grok" the future and shape it for the better.

Download or read book Elon Musk Grok Ai written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-04-30 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into the World of Deep Learning: A Comprehensive Guide for Beginners Deep learning, a revolutionary subfield of artificial intelligence, is rapidly transforming industries and reshaping our world. This comprehensive guide unlocks the secrets of this powerful technology, empowering you to understand its core principles, explore its applications, and stay ahead of the curve in this exciting field. Whether you're a tech enthusiast, aspiring developer, or simply curious about the future of AI, this guide provides a clear and accessible roadmap to deep learning. We'll begin by delving into the fascinating world of the human brain, the inspiration behind artificial neural networks. You'll discover how these networks mimic the brain's structure and function to learn from vast amounts of data, empowering them to perform tasks like image recognition, natural language processing, and even self-driving cars. As we progress, we'll explore the building blocks of deep learning: the essential components like neurons, activation functions, and loss functions. You'll witness the power of gradient descent and backpropagation, the algorithms that train deep learning models to continuously improve their performance. By building your own simple deep learning model using popular libraries like TensorFlow or PyTorch, you'll gain hands-on experience and solidify your understanding of these core concepts. Data, the fuel of intelligence, plays a crucial role in deep learning. We'll delve into data collection techniques, pre-processing methods, and the importance of working with diverse and high-quality datasets. You'll discover how convolutional neural networks (CNNs) excel at analyzing images, while recurrent neural networks (RNNs) are specifically designed to handle sequential data like text and speech. Deep reinforcement learning (DRL) takes center stage as we explore how AI agents learn through trial and error, interacting with their environment and adapting their behavior based on rewards. This opens doors to training intelligent systems capable of handling complex real-world challenges in dynamic environments. But the journey doesn't end there. We'll explore how to combine different deep learning techniques, build comprehensive projects like object detection and image captioning, and leverage powerful frameworks like TensorFlow and PyTorch. Practical considerations like computational resources, monitoring, and ethical concerns will be addressed, ensuring you're equipped with the knowledge and tools to navigate the real-world application of deep learning. Get ready to witness the impact of deep learning across various industries, from medical diagnosis and financial fraud detection to scientific research and personalized user experiences. We'll explore the challenges and opportunities that lie ahead, including ethical considerations like bias, explainability, and data privacy. As we delve into emerging trends like generative adversarial networks (GANs), advancements in unsupervised and reinforcement learning, and the exciting potential of neuromorphic computing, you'll gain a glimpse into the future of AI and its transformative potential for our world. This comprehensive guide is your gateway to the fascinating world of deep learning. Dive in, unlock its potential, and become part of the revolution shaping the future of technology.

Download or read book Design and Analysis of Control Systems written by Arthur G.O. Mutambara and published by CRC Press. This book was released on 2024-03-27 with total page 795 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written to inspire and cultivate the ability to design and analyse feasible control algorithms for a wide range of engineering applications, this comprehensive text covers the theoretical and practical principles involved in the design and analysis of control systems. This second edition introduces 4IR adoption strategies for traditional intelligent control, including new techniques of implementing control systems. It provides improved coverage of the characteristics of feedback control, root-locus analysis, frequency-response analysis, state space methods, digital control systems and advanced controls, including updated worked examples and problems. Features: Describes very timely applications and contains a good mix of theory, application, and computer simulation. Covers all the fundamentals of control systems. Takes a transdisciplinary and cross-disciplinary approach. Explores updates for 4IR (Industry 4.0) and includes better experiments and illustrations for nonlinear control systems. Includes homework problems, case studies, examples, and a solutions manual. This book is aimed at senior undergraduate and graduate students, professional engineers and academic researchers, in interrelated engineering disciplines such as electrical, mechanical, aerospace, mechatronics, robotics and other AI-based systems.

Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer Nature. This book was released on with total page 727 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Autonomous Vehicles Plus written by Chander Dhawan and published by FriesenPress. This book was released on 2019-02-19 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Vehicles Plus: A Critical Analysis of Challenges Delaying AV Nirvana is a valuable compendium of information for autonomous vehicle (AV) industry professionals. The book offers a critical analysis of this emerging technology and business models through a holistic and multi-faceted discussion by a consultant who has done extensive research of underlying technologies. Among other things, Autonomous Vehicles Plus provides an independent and comprehensive viewpoint of the history and basic technology concepts of AVs, along with an explanation of their artificial intelligence underpinning, architectural framework, and key components. Here is all the minutiae on driverless cars, including the challenges facing the industry, predictions for their future, advice for entrepreneurs looking to capitalize on their emerging importance, and the roiling confusion that attends it all. Autonomous vehicle industry professionals and those seeking a broad understanding of the emerging technology will find much to distract and delight them in this serious book. Autonomous Vehicles Plus will be of special interest to technology and business development professionals who want to understand the fundamentals that determine technology adoption.

Download or read book Sick Schools written by David V. Anderson and published by Wipf and Stock Publishers. This book was released on 2020-01-10 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who’s afraid of for-profit education? Those who work in non-profit or government owned and operated schools. Many parents and other stakeholders have been made fearful by this education establishment. What’s more important to humans: nutrition or education? Nutrition is more important because it is the prerequisite for other human activities, including education. What organizations provide food and who pays for the food? Food is provided by for-profit farmers, for-profit processors, for-profit wholesalers, and for-profit retailers. Most food is purchased with the consumers’ own money, but a significant amount is purchased by low-income individuals using food stamps. Why can’t education be provided similarly using education stamps? We trust for-profit enterprises to provide our food. Why can’t we trust for-profit enterprises to provide K-12 education? Fearmongers have frightened us and made us into gullible compliant socialists who despise commercial activities in education. Go to the supermarket and ponder its marvelous array of foods and then contemplate how a for-profit K-12 education sector would please and amaze its customers.

Download or read book Algorithms of Armageddon written by George Galdorisi and published by Naval Institute Press. This book was released on 2024-03-12 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is unclear if U.S. policy makers and military leaders fully realize that we have already been thrust into an artificial intelligence (AI) race with authoritarian powers. Today, the United States’ peer adversaries—China and Russia—have made clear their intentions to make major investments in AI and insert this technology into their military systems, sensors and weapons. Their goal is to gain an asymmetric advantage over the U.S. military. The implications for our national security are many and complex. Algorithms of Armageddon examines this most pressing security issue in a clear, insightful delivery by two experts. Authors George Galdorisi and Sam J. Tangredi are national security professionals who deal with AI on a day-to-day basis in their work in both the technical and policy arenas. Opening chapters explain the fundamentals of what constitutes big data, machine learning, and artificial intelligence. They investigate the convergence of AI with other technologies and how these systems will interact with humans. Critical to the issue is the manner by which AI is being developed and utilized by Russia and China. The central chapters of the work address the weaponizing of AI through interaction with other technologies, man-machine teaming, and autonomous weapons systems. The authors cover in depth debates surrounding the AI “genie out of the bottle” controversy, AI arms races, and the resulting impact on policy and the laws of war. Given that global powers are leading large-scale development of AI, it is likely that use of this technology will be global in extent. Will AI-enabled military weapons systems lead to full-scale global war? Can such a conflict be avoided? The later chapters of the work explore these questions, point to the possibility of humans failing to control military AI applications, and conclude that the dangers for the United States are real. Neither a protest against AI, nor a speculative work on how AI could replace humans, Algorithms of Armageddon provides a time-critical understanding of why AI is being implemented through state weaponization, the realities for the global power balance, and more importantly, U.S. national security. Galdorisi and Tangredi propose a national dialogue that focuses on the need for U.S. military to have access to the latest AI-enabled technology in order to provide security and prosperity to the American people.

Download or read book Deep Learning written by Ian Goodfellow and published by MIT Press. This book was released on 2016-11-10 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Download or read book Welcome to Management How to Grow From Top Performer to Excellent Leader written by Ryan Hawk and published by McGraw Hill Professional. This book was released on 2020-01-28 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: “The ultimate all-in-one guide to becoming a great leader.”—Daniel Pink From the creator and host of The Learning Leader Show, “the most dynamic leadership podcast out there” (Forbes) that will “help you lead smarter” (Inc.), comes an essential tactical guide for newly promoted managers. Every year, millions of top performers are promoted to management-level jobs—only to discover that the tactics that got them promoted are not the tactics that will make them effective in their new role. In Welcome to Management, Ryan Hawk provides practical, actionable advice and tools designed to ensure that transition is a successful one. He presents a new actionable three-part framework distilled from best practices drawn from in-depth interviews with over 300 of the most forward-thinking leaders around the world, as well as his own professional experience going from exceptional individual producer to new leader. Learn how to: • lead yourself: build skills and earn credibility. Compliance can be commanded, but commitment cannot. People reserve their full capacity for emotional commitment for leaders they find credible, and credibility must be earned. • build your team: develop a healthy and sustainable culture of mutual trust and respect that creates cohesion. This includes effective hiring and firing practices. • lead your team: set a clear strategy and vision for your team, communicate effectively, and ultimately drive the results the organization is counting on your team to deliver. Through case studies, hundreds of interviews, and personal stories, the book will help high performers make the leap from individual contributor to manager with greater ease, grace, courage, and effectiveness. Welcome to management!

Download or read book Populism Artificial Intelligence and Law written by David Grant and published by Taylor & Francis. This book was released on 2024-07-12 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Political systems across much of the West are now subject to populist disruption, which often takes an anti-Constitutional form. This interdisciplinary book argues that the current analysis of anti-Constitutional populism, while often astute, is focused far too narrowly. It is held here that due to an obscured complex of dynamics that has shaped the history of the West since its inception and which remains active today, we do not understand the present. This complex not only explains the current disruptions across the fields of contemporary religion, politics, economics and emerging artificial intelligence but also how these disruptions derive each from originary sources. This work thereby explains not only the manner in which this complex has functioned across historical time but also why it is that its inherent, unresolvable flaws have triggered the shifts between these key fields as well as the intractability of these present disruptions. It is this flawed complex of factors that has led to current conflicts about abortion reform, political populism, the failure of neoliberalism and the imminent quantum shift in generative artificial intelligence. It is argued that in this, law is heavily implicated, especially at the constitutional level. Presenting a forensic examination of the root causes of all these disruptions, the study provides a toolbox of ideas with which to confront these challenges. This is a book of originality and significance, which will make fascinating reading for academics and researchers working in the areas of Socio-legal Studies, Legal Philosophy, Political Science, Theology, AI and Neuroscience.

Download or read book The Robot Will See You Now written by John Wyatt and published by SPCK. This book was released on 2021-07-15 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decade has seen dramatic advances in artificial intelligence and robotics technology, raising tough questions that need to be addressed. The Robot Will See You Now considers how Christians can respond to these issues - and flourish - in the years ahead. Contributions from a number of international experts, including editors John Wyatt and Stephen Williams, explore a range of social and ethical issues raised by recent advances in AI and robotics. Considering the role of artificial intelligence in areas such as medicine, employment and security, the book looks at how AI is perceived as well as its actual impact on human interactions and relationships. Alongside are theological responses from an orthodox Christian perspective. Looking at how artificial intelligence and robotics may be considered in the light of Christian doctrine, The Robot Will See You Now offers a measured, thoughtful view on how Christians can understand and prepare for the challenges posted by the development of AI. This is a book for anyone who is interested in learning more about how AI and robots have advanced in recent years, and anyone who has wondered how Christian teaching relates to artificial intelligence. Whatever your level of technical knowledge, The Robot Will See You Now will give you a thorough understanding of AI and equip you to respond to the challenges it poses with confidence and faith.

Download or read book Power and Prediction written by Ajay Agrawal and published by Harvard Business Press. This book was released on 2022-11-15 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare. Artificial intelligence (AI) has impacted many industries around the world—banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption. What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions. This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time—many industries are in the quiet before the storm—but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions. Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.

Download or read book Agile L D written by Natal Dank and published by Kogan Page Publishers. This book was released on 2024-04-03 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agility is no longer a buzzword, it's now a business imperative. Apply agile thinking, tools and processes to the learning function with this expert guide written specifically for learning and organizational development (OD) professionals. Written by an author at the forefront of agility in the people profession, Agile L&D explains how to develop an agile approach to workplace learning. The business context has dramatically changed, so the way you approach specialisms like learning and OD must also change. Based on five design principles: Product-led, Human-centric design, T-shaped people in T-shaped teams, Experimentation and Deliver with impact, Agile L&D provides a dedicated toolkit to help you design learning and OD solutions that solve workplace challenges and impact business performance. How we design work, upskill people and deploy teams is now intrinsically linked with modern business strategy. To continuously adapt to a complex business environment, companies need a more fluid movement of people and skills across the organization to better reflect customer needs, market opportunities and capability requirements. This book has the answer. Full of tools, tips and frameworks as well as real world examples from global organizations including Macmillan Cancer Support, TomTom, Diageo, Arup and Citizens Advice, this is essential reading for all learning and development, OD and people professionals in this constantly changing world of work.

Download or read book 50 AI Ideas You Really Need to Know written by Keith Mansfield and published by Greenfinch. This book was released on 2024-09-12 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the technology reshaping our world today. In a series of 50 accessible essays, Keith Mansfield introduces and explains the essential concepts, ideas and key thinkers behind artificial intelligence. From Alan Turing asking 'can machines think?' and the best prompting techniques for generative AI, to Superintelligence and the Singularity, 50 AI Ideas You Really Need to Know is a complete introduction to the most important AI concepts: past, present and future.

Download or read book The PayPal Wars written by Eric M. Jackson and published by WND Books. This book was released on 2006 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: When Peter Thiel and Max Levchin launched an online payment website in 1999, they hoped their service could improve the lives of millions around the globe. But when their start-up, PayPal, survived the dot.com crash only to find itself besieged by unimaginable challenges, that dream threatened to become a nightmare. PayPal's history as told by former insider Eric Jackson is an engrossing study of human struggle and perseverance against overwhelming odds. The entrepreneurs that Thiel and Levchin recruited to overhaul world currency markets first had to face some of the greatest trials ever thrown at a Silicon Valley company before they could make internet history. Revised and updated, this narrative is an adventure in capitalism. Reveals how PayPal went from bleeding $10 million per month to becoming a financial powerhouse. Sheds light on eBay's current woes, and PayPal's pending showdown with Google. -- Publisher.

Download or read book What Algorithms Want written by Ed Finn and published by MIT Press. This book was released on 2017-03-10 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek. We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, an incantation to reveal what we need to know and even what we want. Humans have always believed that certain invocations—the marriage vow, the shaman's curse—do not merely describe the world but make it. Computation casts a cultural shadow that is shaped by this long tradition of magical thinking. In this book, Ed Finn considers how the algorithm—in practical terms, “a method for solving a problem”—has its roots not only in mathematical logic but also in cybernetics, philosophy, and magical thinking. Finn argues that the algorithm deploys concepts from the idealized space of computation in a messy reality, with unpredictable and sometimes fascinating results. Drawing on sources that range from Neal Stephenson's Snow Crash to Diderot's Encyclopédie, from Adam Smith to the Star Trek computer, Finn explores the gap between theoretical ideas and pragmatic instructions. He examines the development of intelligent assistants like Siri, the rise of algorithmic aesthetics at Netflix, Ian Bogost's satiric Facebook game Cow Clicker, and the revolutionary economics of Bitcoin. He describes Google's goal of anticipating our questions, Uber's cartoon maps and black box accounting, and what Facebook tells us about programmable value, among other things. If we want to understand the gap between abstraction and messy reality, Finn argues, we need to build a model of “algorithmic reading” and scholarship that attends to process, spearheading a new experimental humanities.

Download or read book The Creativity Code written by Marcus Du Sautoy and published by Harvard University Press. This book was released on 2020-03-03 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times