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Synopsis
Can a computer program think like a human?
“Can machines think?” Ever since Alan Turing posed this question in an influential 1950 paper, it has been central to research in artificial intelligence. More than seventy-five years after Turing’s paper, we grapple with it every time we wonder if Watson was actually smarter than Jeopardy! champions, or if ChatGPT really knows what it’s talking about. In Thinking AI, computer scientist John MacCormick explores Turing’s question from a perspective informed by a detailed understanding of the way modern AI systems work. MacCormick explains, in accessible fashion, the ideas behind the two main pillars of the twenty-first century AI revolution: deep neural networks and reinforcement learning.
MacCormick offers a tour of the most famous AI systems, including AlexNet and VGG16, deep neural networks for object recognition that led to a Nobel prize; DeepMind’s AlphaGo, which shocked AI researchers with its superhuman performance in the game of Go; and OpenAI’s ChatGPT, which stunned the world with its natural language capabilities. He describes how each system works, and points to parallels with human brain processes. Both human minds and computer programs, MacCormick explains, can induce intelligence through emergence: the capability for new phenomena to emerge from the interactions of many small, simple components. Does this mean that a computer program can think like a human? In many ways, MacCormick argues, the answer is yes. In Thinking AI, he reveals a new landscape of emergent intelligence—a world in which computer programs can emulate many or all aspects of human thinking but humanity retains its meaning and purpose.
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About the Author
John MacCormick is professor of computer science at Dickinson College. He is the author of Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers and What Can Be Computed? A Practical Guide to the Theory of Computation (both Princeton).
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Thinking Ai : How Artificial Intelligence Emulates Human Understanding
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Hardcover. Condition: new. Hardcover. Can a computer program think like a human?'Can machines think?' Ever since Alan Turing posed this question in an influential 1950 paper, it has been central to research in artificial intelligence. More than seventy-five years after Turings paper, we grapple with it every time we wonder if Watson was actually smarter than Jeopardy! champions, or if ChatGPT really knows what its talking about. In Thinking AI, computer scientist John MacCormick explores Turings question from a perspective informed by a detailed understanding of the way modern AI systems work. MacCormick explains, in accessible fashion, the ideas behind the two main pillars of the twenty-first century AI revolution: deep neural networks and reinforcement learning.MacCormick offers a tour of the most famous AI systems, including AlexNet and VGG16, deep neural networks for object recognition that led to a Nobel prize; DeepMinds AlphaGo, which shocked AI researchers with its superhuman performance in the game of Go; and OpenAIs ChatGPT, which stunned the world with its natural language capabilities. He describes how each system works, and points to parallels with human brain processes. Both human minds and computer programs, MacCormick explains, can induce intelligence through emergence: the capability for new phenomena to emerge from the interactions of many small, simple components. Does this mean that a computer program can think like a human? In many ways, MacCormick argues, the answer is yes. In Thinking AI, he reveals a new landscape of emergent intelligence a world in which computer programs can emulate many or all aspects of human thinking but humanity retains its meaning and purpose. In Thinking AI, MacCormick reveals a new landscape of emergent intelligence a world in which computer programs can emulate many or all aspects of human thinking but humanity retains its meaning and purpose. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780691191737
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Hardback. Condition: New. Can a computer program think like a human?"Can machines think?" Ever since Alan Turing posed this question in an influential 1950 paper, it has been central to research in artificial intelligence. More than seventy-five years after Turing's paper, we grapple with it every time we wonder if Watson was actually smarter than Jeopardy! champions, or if ChatGPT really knows what it's talking about. In Thinking AI, computer scientist John MacCormick explores Turing's question from a perspective informed by a detailed understanding of the way modern AI systems work. MacCormick explains, in accessible fashion, the ideas behind the two main pillars of the twenty-first century AI revolution: deep neural networks and reinforcement learning.MacCormick offers a tour of the most famous AI systems, including AlexNet and VGG16, deep neural networks for object recognition that led to a Nobel prize; DeepMind's AlphaGo, which shocked AI researchers with its superhuman performance in the game of Go; and OpenAI's ChatGPT, which stunned the world with its natural language capabilities. He describes how each system works, and points to parallels with human brain processes. Both human minds and computer programs, MacCormick explains, can induce intelligence through emergence: the capability for new phenomena to emerge from the interactions of many small, simple components. Does this mean that a computer program can think like a human? In many ways, MacCormick argues, the answer is yes. In Thinking AI, he reveals a new landscape of emergent intelligence-a world in which computer programs can emulate many or all aspects of human thinking but humanity retains its meaning and purpose. Seller Inventory # LU-9780691191737
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