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Ai For Good How Smart Machines Are Fixing A Broken World


Ai For Good How Smart Machines Are Fixing A Broken World
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Ai For Good How Smart Machines Are Fixing A Broken World


Ai For Good How Smart Machines Are Fixing A Broken World
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Author : Dizzy Davidson
language : en
Publisher: Pure Water Books
Release Date : 2025-07-24

Ai For Good How Smart Machines Are Fixing A Broken World written by Dizzy Davidson and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-24 with Computers categories.


If you're worried about climate change but feel powerless... If you've wondered whether AI can actually help real people—not just big tech firms... Or if you're looking for practical, hopeful ways to improve the world, starting today... THIS BOOK IS FOR YOU. AI For Good: How Smart Machines Are Fixing a Broken World is your front-row seat to the powerful and surprising ways artificial intelligence is being used to tackle humanity’s biggest problems—from pandemic prevention to plastic pollution, from mental health support to earthquake recovery. Packed with easy-to-follow explanations, real-life stories, and step-by-step guides, this book is perfect for curious minds of all ages—even if you've never touched a line of code. 🧠 Inside this game-changing read, you'll discover: ✅ How AI is fighting disease, disaster, and inequality around the globe ✅ Tricks and tools anyone can use to tap into AI for good—no tech degree needed ✅ Simple hacks to make smarter choices using machine learning principles ✅ Illustrated examples and inspiring success stories that will leave you hopeful and energized ✅ Actionable tips to start using AI in everyday life to help yourself and others Whether you're a student, parent, teacher, activist, or just someone who cares, this book brings the miracles of machine intelligence down to earth—with heart, clarity, and purpose. Get your copy today! Your journey to understanding and using AI for good starts right here.



How To Stay Smart In A Smart World


How To Stay Smart In A Smart World
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Author : Gerd Gigerenzer
language : en
Publisher: Penguin UK
Release Date : 2022-03-03

How To Stay Smart In A Smart World written by Gerd Gigerenzer and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-03 with Psychology categories.


'Enlightening, impassioned, powerful' The Times From dating apps and self-driving cars to facial recognition and the justice system, the increasing presence of AI has been widely championed - but there are limitations and risks too. In this book Gigerenzer shows how humans are often the greatest source of uncertainty and when people are involved, unwavering trust in complex algorithms can become a recipe for disaster. We need, now more than ever, to arm ourselves with knowledge that will help us make better decisions in a digital age. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the world in which we want to live. 'Masterful ... an essential read' Gary Klein, author of Sources of Power 'One of the world's most eminent psychologists' Spectator



Machines Like Us


Machines Like Us
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Author : Ronald J. Brachman
language : en
Publisher: MIT Press
Release Date : 2022-05-17

Machines Like Us written by Ronald J. Brachman and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-17 with Computers categories.


How we can create artificial intelligence with broad, robust common sense rather than narrow, specialized expertise. It’s sometime in the not-so-distant future, and you send your fully autonomous self-driving car to the store to pick up your grocery order. The car is endowed with as much capability as an artificial intelligence agent can have, programmed to drive better than you do. But when the car encounters a traffic light stuck on red, it just sits there—indefinitely. Its obstacle-avoidance, lane-following, and route-calculation capacities are all irrelevant; it fails to act because it lacks the common sense of a human driver, who would quickly figure out what’s happening and find a workaround. In Machines like Us, Ron Brachman and Hector Levesque—both leading experts in AI—consider what it would take to create machines with common sense rather than just the specialized expertise of today’s AI systems. Using the stuck traffic light and other relatable examples, Brachman and Levesque offer an accessible account of how common sense might be built into a machine. They analyze common sense in humans, explain how AI over the years has focused mainly on expertise, and suggest ways to endow an AI system with both common sense and effective reasoning. Finally, they consider the critical issue of how we can trust an autonomous machine to make decisions, identifying two fundamental requirements for trustworthy autonomous AI systems: having reasons for doing what they do, and being able to accept advice. Both in the end are dependent on having common sense.



Popular Science


Popular Science
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Author :
language : en
Publisher:
Release Date : 2004-09

Popular Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09 with categories.


Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.



Popular Science


Popular Science
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Author :
language : en
Publisher:
Release Date : 2004-12

Popular Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12 with categories.


Popular Science gives our readers the information and tools to improve their technology and their world. The core belief that Popular Science and our readers share: The future is going to be better, and science and technology are the driving forces that will help make it better.



Intelligent Internet Of Things For Healthcare And Industry


Intelligent Internet Of Things For Healthcare And Industry
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Author : Uttam Ghosh
language : en
Publisher: Springer Nature
Release Date : 2022-02-12

Intelligent Internet Of Things For Healthcare And Industry written by Uttam Ghosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-12 with Technology & Engineering categories.


This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions.



Popular Mechanics


Popular Mechanics
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Author :
language : en
Publisher:
Release Date : 2000-01

Popular Mechanics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with categories.


Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.



Supply Chain Management


Supply Chain Management
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Author : Bharti
language : en
Publisher: CRC Press
Release Date : 2024-10-17

Supply Chain Management written by Bharti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-17 with Technology & Engineering categories.


The reference text discusses fundamental principles, planning, sourcing, demand forecasting, and supply forecasting in the field of supply chain management. It further highlights the important aspects of supply chain management such as resource planning, inventory management, quality tools, and documentation in logistics. It demonstrates the issues, barriers, emerging trends, and technological advances in supply chain management. This book: Discusses the principles of resource planning and inventory management in supply chain management. Covers aspects of competing strategies and networking management. Presents case studies highlighting ongoing practices and real-time issues in supply chain management. Highlights the importance of demand and supply forecasting in the field of supply chain management. Explains quality tools, emerging trends, challenges, and barriers in supply chain management. It is written primarily for senior undergraduate and graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, management, supply chain management, and manufacturing engineering.



Artificial Intelligence Techniques For Sustainable Development


Artificial Intelligence Techniques For Sustainable Development
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Author : Deepika Ghai
language : en
Publisher: CRC Press
Release Date : 2024-12-19

Artificial Intelligence Techniques For Sustainable Development written by Deepika Ghai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Technology & Engineering categories.


How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Key features: Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health Highlights the advancement in electronics and communication technology for green applications Covers smart energy harvesting/charging and power management techniques using machine learning Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.



The Economics Of Artificial Intelligence


The Economics Of Artificial Intelligence
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Author : Ajay Agrawal
language : en
Publisher: University of Chicago Press
Release Date : 2019-05-22

The Economics Of Artificial Intelligence written by Ajay Agrawal and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-22 with Business & Economics categories.


Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley