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Shervin Tarjoman’s “Want to Become a Millionaire with AI” is an ultimate guide that tells using artificial intelligence for wealth creation. This work is about the rudiments of all AI techs, how to identify market opportunities and how to build an AI-run business at its core. The book abounds in practical strategies and real-life examples, which will help you understand how AI functions in reality. Investing in AI, utilizing AI in personal finances as well as the effect of this technology on real estate and stock trading are some of the things that one can learn from. It is through being innovative, disciplined and ethical that Tarjoman provides readers with tips for action and valuable insights. Whether you are an entrepreneur who has been around or just starting out, this book is a ‘must have’ resource for anyone who wants to succeed in the new economy driven by AI.
** The concise guide to Artificial Intelligence for business people and commercially oriented data scientists ** We’re living through a revolution. Artificial Intelligence is changing how we operate in the world and how smooth certain processes are. Just think about going on holidays. Multiple services allow you to find the most convenient flights and best hotels, you get personalized suggestions on what you might want to see, you go to the airport via one of the ride-sharing apps. At each of these steps, some AI algorithms are at work for your convenience. With this book, you'll learn everything from what is Artificial Intelligence, to how AI influences our economy and society. We'll talk through trends in Machine Learning and commercial applications of Artificial Intelligence. Table of Contents: Introduction Why Artificial Intelligence Practical AI and how it is done Powering Enterprises with AI Boosting Startups with Artificial Intelligence One person enhanced with AI Trends in Artificial Intelligence AI in retail Manufacturing Logistics Robotics and Autonomous Vehicles Robotic Process Automation Image generation Text generation and Chatbots AI-powered education AI in Healthcare Cybersecurity powered by AI Climate Change Games and Reinforcement Learning Hardware and beyond Machine Learning Trends AI, Politics and Society Future of Artificial Intelligence
Artificial Intelligence (AI) is an exceptional tool that increases production output of goods and services but its automated capabilities have caused the loss in jobs affecting the livelihood of millions of American workers. A great concern is the direction in the use of AI that affects the mental and physical health of the public. Some billionaires are using AI to surreptitiously control the thoughts of people and are developing ways to vaccinate people for biological control as well. This book provides a path, a solution that will be very challenging, but entirely warranted by using AI to give every American an opportunity to use their gifts and enjoy a quality of life that has never before been achieved for an entire people of one country.
This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.
Self-learning machines called AIs are popping up all around us. They’re real, and really important. They’re affecting our lives—as workers, consumers, investors, citizens, patients and students. AIs bring huge promise, but also existential risk. The biggest risk isn’t killer robots—it’s the renegade leaders, despots, and unrestrained hackers everywhere we should worry about. Charles Jennings’ insightful new book, Artificial Intelligence: The Rise of the Lightspeed Learners presents sides of AI most people have never even considered before. That surprises are a main product of AIs. That AI cybersecurity is much more critical than traditional IT security. That, as Vladimir Putin put it, “the country that leads in AI will control the world.” Jennings blends insights into Silicon Valley, Washington D.C., and Beijing with insider AI stories, irreverent humor and strong opinions. He explores the global AI ecosystem from Cambridge to Beijing; and provides a stark assessment of AI activity in China—where he lived for two years working with senior government officials. He claims that the U.S. and China are in an AI horserace that will be the most important technology contest ever, with the outcome still very much in doubt. Consisting of stories, musings, interviews, and more, it provides a timely and accessible explanation of AI and its key issues to the general reading public.
This book constitutes the refereed proceedings of the 13th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2013, held in Turin, Italy, in December 2013. The 45 revised full papers were carefully reviewed and selected from 86 submissions. The conference covers broadly the many aspects of theoretical and applied Artificial Intelligence as follows: knowledge representation and reasoning, machine learning, natural language processing, planning, distributed AI: robotics and MAS, recommender systems and semantic Web and AI applications.
This cutting-edge reference book discusses the intervention of artificial intelligence in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of artificial intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of machine learning in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of artificial intelligence in predicting potential adverse biological effects. FEATURES Includes lucid, step-by-step instructions to apply artificial intelligence and machine learning in pharmaceutical sciences Explores the application of artificial intelligence in nanosafety and prediction of potential hazards Covers application of artificial intelligence in drug discovery and drug development Reviews the role of artificial intelligence in assessment of pharmaceutical formulations Provides artificial intelligence solutions for experts in the pharmaceutical and medical devices industries This book is meant for academicians, students, and industry experts in pharmaceutical sciences, medicine, and pharmacology.
YOUR GUIDE TO SURVIVING AND THRIVING IN THE AI ECONOMY. No one can be completely sure what the future of work is going to look like, but it will likely be completely transformed by artificial intelligence. That means an uncertain future for Millennials, including the need to switch jobs, change occupations and learn new skills. Taking steps towards financial freedom and early retirement now, on your own terms, will put you in the driver's seat for what could be a bumpy road ahead. In OVERCOME AI, Wall Street expert Scott Gamm sets out a practical roadmap to financial freedom and early retirement. Discover: Why retiring early will become a necessity, not just a goal. How much money you'll need to live well without a steady 9-5 job. The importance of reducing or eliminating debt. How to invest in the stock market. How to use alternative retirement savings vehicles. OVERCOME AI is full of actionable investing information that can be applied within minutes of reading. This is truly the first book to provide a clear plan for wealth-building and financial security in the automation era.
Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people who want to adopt and use the main tools of machine learning, but aren’t necessarily going to want to be machine learning researchers. Intended for students in final year undergraduate or first year graduate computer science programs in machine learning, this textbook is a machine learning toolkit. Applied Machine Learning covers many topics for people who want to use machine learning processes to get things done, with a strong emphasis on using existing tools and packages, rather than writing one’s own code. A companion to the author's Probability and Statistics for Computer Science, this book picks up where the earlier book left off (but also supplies a summary of probability that the reader can use). Emphasizing the usefulness of standard machinery from applied statistics, this textbook gives an overview of the major applied areas in learning, including coverage of:• classification using standard machinery (naive bayes; nearest neighbor; SVM)• clustering and vector quantization (largely as in PSCS)• PCA (largely as in PSCS)• variants of PCA (NIPALS; latent semantic analysis; canonical correlation analysis)• linear regression (largely as in PSCS)• generalized linear models including logistic regression• model selection with Lasso, elasticnet• robustness and m-estimators• Markov chains and HMM’s (largely as in PSCS)• EM in fairly gory detail; long experience teaching this suggests one detailed example is required, which students hate; but once they’ve been through that, the next one is easy• simple graphical models (in the variational inference section)• classification with neural networks, with a particular emphasis onimage classification• autoencoding with neural networks• structure learning
Companies constantly strive to adopt the latest technological advancements in order to stay ahead in today's interconnected world. However, many organizations need guidance to fully leverage the potential of artificial intelligence (AI) and digital transformation. Without this direction, their ability to drive growth and efficiency is thwarted. Creating AI Synergy Through Business Technology Transformation offers a comprehensive guide to leveraging AI and digital transformation for strategic advantage. By combining insightful research, practical case studies, and innovative strategies, this book provides a roadmap for organizations to maximize the benefits of AI across their operations. From optimizing decision-making processes to enhancing customer experiences, the book demonstrates how AI can revolutionize business practices and drive sustainable growth.