Ten Short Lessons in Artificial Intelligence and Robotics
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Leading computer science expert Professor Peter J. Bentley breaks down the fast-moving world of computers in the time of automata into ten pivotal lessons. In Ten Short Lessons in Artificial Intelligence and Robotics, leading expert Professor Peter J. Bentley breaks down the fast-moving world of computers in the time of automata into ten pivotal lessons, presenting the reader with the essential information they need to get to grips with our most powerful technology and its remarkable implications for our species. From the origins and motivation behind the birth of AI and robotics, to using smart algorithms that allow us to build good robots, to the technologies that enable computers to understand a huge range of sensory information, including language and communication, to the challenges of emotional intelligence, unpredictable environments and imagination in artificial intelligence, this is a cutting-edge, expert-led guide for curious minds. About the series: The Pocket Einstein series is a collection of essential pocket-sized guides for anyone looking to understand a little more about some of the most relevant science that affects us all in the twenty-first century. Broken down into ten simple lessons and written by leading experts in their field, discover the ten most important takeaways from those areas of science we should all know more about.
© 2020 W. F. Howes Ltd (Lydbog): 9781004016112
Udgivelsesdato
Lydbog: 3. september 2020
Bøger, der ligner Ten Short Lessons in Artificial Intelligence and Robotics
- Computational Thinking Peter J. Denning, Matti Tedre
- Uberland: How Algorithms Are Rewriting the Rules of Work Alex Rosenblat
- Maths on the Back of an Envelope: Clever ways to (roughly) calculate anything Rob Eastaway
- Big Data: How the Information Revolution Is Transforming Our Lives Brian Clegg
- The Ethical Algorithm: The Science of Socially Aware Algorithm Design Michael Kearns, Aaron Roth
- New Laws of Robotics: Defending Human Expertise in the Age of AI Frank Pasquale
- Too Much Information: Understanding What You Don't Want to Know: Understanding What You Don’t Want to Know Cass R. Sunstein
- This is Not Normal: The Politics of Everyday Expectations: The Politics of Everyday Expectations Cass R. Sunstein
- Conformity: The Power of Social Influences Cass R. Sunstein
- The Formula: How Algorithms Solve all our Problems... and Create More Luke Dormehl
- What Should We Be Worried About?: Real Scenarios That Keep Scientists Up at Night John Brockman
- ColdFusion Presents: New Thinking: New Thinking: From Einstein to Artificial Intelligence, the Science and Technology that Transformed Our World Dagogo Altraide
- Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
- Measurement Paul Lockhart
- Information and Society Michael Buckland
- Fluke: The Math and Myth of Coincidence Joseph Mazur
- The Information Trade: How Big Tech Conquers Countries, Challenges Our Rights, and Disrupts Our World: How Big Tech Conquers Countries, Challenges Our Rights, and Transforms Our World Alexis Wichowski
- How to Educate a Citizen: The Power of Shared Knowledge to Unify a Nation E. D. Hirsch
- Mathematics for Human Flourishing Francis Su
- Once Upon an Algorithm: How Stories Explain Computing Martin Erwig
- The Illusion of Control: Why Financial Crises Happen, and What We Can (and Can't) Do About It Jon Danielsson
- Spark: The Life of Electricity and the Electricity of Life Timothy J. Jorgensen
- The Age of AI: Artificial Intelligence and the Future of Humanity Jason Thacker
- The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do Erik J. Larson
- The Misinformation Age: How False Beliefs Spread Cailin O’Connor, James Owen Weatherall
- Quantum Computing: The Transformative Technology of the Qubit Revolution Brian Clegg
- Genentech: The Beginnings of Biotech Sally Smith Hughes
- Thinking Better: The Art of the Shortcut Marcus du Sautoy
- Things Fall Together: A Guide to the New Materials Revolution Skylar Tibbits
- The Serengeti Rules: The Quest to Discover How Life Works and Why It Matters Sean B. Carroll
- Age of Invisible Machines: A Practical Guide to Creating a Hyperautomated Ecosystem of Intelligent Digital Workers Robb Wilson
- Mastering Logical Fallacies: The Definitive Guide to Flawless Rhetoric and Bulletproof Logic Michael Withey
- GDP: The World’s Most Powerful Formula and Why it Must Now Change Ehsan Masood
- This Explains Everything: Deep, Beautiful, and Elegant Theories of How the World Works John Brockman
- Risk: Why Smart People Have Dumb Accidents - And What We Can Learn From Them Steve Casner
- The Money Illusion: Market Monetarism, the Great Recession, and the Future of Monetary Policy Scott Sumner
- Artificial You: AI and the Future of Your Mind Susan Schneider
- An Introduction to Information Theory: Symbols, Signals and Noise John R. Pierce
- Liars: Falsehoods and Free Speech in an Age of Deception: Falsehoods and Free Speech in an Age of Deception Cass R. Sunstein
- On Freedom Cass R. Sunstein
- Artificial Intelligence: Modern Magic or Dangerous Future? Yorick Wilks
- This Idea Must Die: Scientific Theories That Are Blocking Progress John Brockman
- Radical Technologies: The Design of Everyday Life Adam Greenfield
- The Delusions Of Crowds: Why People Go Mad in Groups William J. Bernstein
- Risk Savvy: How to Make Good Decisions Gerd Gigerenzer
- The Legal Analyst: A Toolkit for Thinking about the Law Ward Farnsworth
- The Technological Singularity Murray Shanahan
- How Data Happened: A History from the Age of Reason to the Age of Algorithms Matthew L. Jones, Chris Wiggins
- Is Reality Optional?: And Other Essays Thomas Sowell
- The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy Sharon Bertsch McGrayne
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