5 Must Read Books About Artificial Intelligence
Numerous books provide in-depth examinations of artificial intelligence’s core concepts, technical processes, and applications. This list covers books written by eminent computer scientists and practitioners with deep ties to the artificial intelligence business. So, whether you’re a researcher, an engineer, or a business professional working in the AI/ML space, you’re sure to find a few new titles to add to your reading list! 1. The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do Author: Erik J. Larson About the Book A leading artificial intelligence (AI) researcher and entrepreneur debunks the illusion that superintelligence is just a few clicks away and argues that this myth impedes innovation and distorts our capacity to make the critical next jump. According to futurists, AI will soon surpass the capabilities of the most gifted human mind. How much hope do we have in the face of superintelligent machines? However, we are not yet on the verge of making intelligent machines. Indeed, we have no idea where that path might lead. To buy the book, click here. 2. Scary Smart: The Future of Artificial Intelligence and How You Can Save Our World Author: Mo Gawdat About the Book By 2049, artificial intelligence (AI) will outperform humans by a factor of a billion. Scary Smart investigates AI’s current trajectory to save the human species in the future. This book lays forth a strategy for defending ourselves, our loved ones, and the world as a whole. According to Mo Gawdat, technology is jeopardising humanity on a never-before-seen scale. This book is not for programmers or policymakers who assert their ability to govern it. To buy the book, click here. 3. AI 2041: Ten Visions for Our Future Authors: Kai-Fu Lee, Chen Qiufan About the Book While AI will be the defining issue of the twenty-first century, many people are unfamiliar with it beyond thoughts of dystopian robots or flying automobiles. Kai-Fu Lee contends that AI is just now set to upend our civilisation in the same way that electricity and smartphones did previously. In the last five years, AI has demonstrated that it can learn games like chess in a matter of hours and consistently outperform humans. In speech and object recognition, AI has exceeded humans, even outperforming radiologists in diagnosing lung cancer. Artificial intelligence is approaching a tipping point. To buy the book, click here. 4. Klara and the Sun Author: Kazuo Ishiguro About the Book Klara, an Artificial Friend with remarkable observational talents, keeps an eye on customers who enter the store and pass by on the street. She stays hopeful that a customer will soon choose her, but when the potential that her circumstances may alter permanently arises, Klara is cautioned not to place too much stock in human promises. Kazuo Ishiguro examines our quickly changing modern world through the perspective of a fascinating narrator in Klara and the Sun, delving into a fundamental question: what does it mean to love? To buy the book, click here. 5. The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Author: Kate Crawford About the Book Kate Crawford demonstrates how AI is an extractive technology, from the materials extracted from the soil and the labour extracted from low-wage information workers to the data extracted from every action and expression. This book demonstrates how this global network fosters an increase in inequalities and a shift toward undemocratic governance. Rather than focusing exclusively on code and algorithms, Crawford provides a material and political framework for understanding what it takes to create AI and how it centralises power. To buy the book, click here.
Want to learn more about AI/ML this year? Check out these great books on AI fundamentals and applications.
Want to learn more about AI/ML this year? Check out these great books on AI fundamentals and applications.
["AI (Artificial Intelligence)", "Machine Learning", "Reinforcement Learning"]
["Go", "artificial intelligence", "Reinforcement Learning", "programming_languages:R", "AI", "RPA", "ML", "innovation", "Machine Learning", "programming_languages:Go", "R", "AI (Artificial Intelligence)"]
["AI", "artificial intelligence", "ML", "R", "Go", "RPA", "innovation", "programming_languages:R", "programming_languages:Go"]
Nivash holds a doctorate in information technology and has been a research associate at a university and a development engineer in the IT industry. Data science and machine learning excite him.