Ai Predictive Ability (12 results)
Language: English
Published by Independently published, 2025
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Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
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Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
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Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
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Language: English
Published by Amazon Digital Services LLC - Kdp, 2025
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Language: English
Published by Independently Published, 2025
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Taschenbuch. Condition: Neu. Neuware - In November 2022, OpenAI quietly released ChatGPT to the public. Within five days, it had a million users. Within two months, one hundred million. This moment marked the beginning of the most rapid technological transformation in history-one that would fundamentally reshape not just the tec…h industry, but every aspect of how we work, learn, and interact with information.
Language: English
Published by Independently published, 2025
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Language: English
Published by Independently published, 2025
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Language: English
Published by Independently Published, 2025
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Paperback. Condition: new. Paperback. In 2016, a machine made a move that shouldn't have been reasonable. AlphaGo's Move 37 against world champion Lee Sedol defied 2,500 years of accumulated Go wisdom-a shoulder hit on the fifth line that had a 1-in-10,000 probability of being played by any human expert. Yet this seemingly absur…d move proved not just valid but brilliant, revealing strategic depths that generations of masters had missed. It was the moment the world realized that artificial intelligence hadn't just learned to play our games-it had begun to reimagine them entirely. AI Game Theory explores this profound transformation: how machines are revolutionizing the mathematics of strategy itself. From poker bots that bluff with superhuman sophistication to algorithms that tackle climate negotiations involving 200 nations, AI has shattered the computational barriers that limited game theory since von Neumann's foundational work in the 1940s. But this isn't just a story of raw computational power. Through real-world examples-like the 2010 Flash Crash that erased $1 trillion in minutes, supply chains that self-organize like ecosystems, and AI diplomats that master human deception-this book reveals how machine learning fundamentally changes strategic thinking. Neural networks discover equilibria in games too complex to even write down. Reinforcement learning agents develop intuitions that transcend human understanding. Evolutionary algorithms maintain diverse strategies that adapt to opponents in real-time. Drawing on cutting-edge research and packed with practical Python implementations, this book bridges the gap between theoretical foundations and revolutionary applications. Readers will discover how AI conquers poker through counterfactual regret minimization, how multi-agent systems coordinate disaster relief, and how quantum computing promises exponential speedups for solving strategic problems. Yet with great power comes great responsibility. As AI systems predict voter behavior with uncanny accuracy and algorithms accidentally collude to fix prices, we face urgent questions about fairness, transparency, and human agency. This book doesn't shy away from these challenges, offering frameworks for ensuring AI enhances rather than undermines strategic decision-making. Whether you're a researcher pushing the boundaries of AI, a practitioner applying game theory to real problems, or simply curious about how machines are learning to outwit us at our own games, this book provides both the technical depth and accessible explanations needed to understand-and shape-the future of strategic reasoning. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condition: new. Paperback. In November 2022, OpenAI quietly released ChatGPT to the public. Within five days, it had a million users. Within two months, one hundred million. This moment marked the beginning of the most rapid technological transformation in history-one that would fundamentally reshape not just the tech… industry, but every aspect of how we work, learn, and interact with information. "Puzzling AI Trends" traces the Large Language Model revolution through three distinct eras. The Pre-Cambrian Era (2022) saw AI locked within tech giants, with models costing tens of millions to train. The Cambrian Explosion (2023) brought ChatGPT's viral success and Meta's game-changing decision to open-source LLaMA, democratizing AI access. The Great Bifurcation (2024-2025) split the market between commoditized general intelligence and premium reasoning systems. The book profiles major players reshaping AI: OpenAI's relentless capability push, Google's infrastructure dominance, Anthropic's safety focus, and Meta's disruptive open-source strategy. It reveals how Chinese companies like DeepSeek and the UAE's Falcon challenge Western dominance while specialized innovators find profitable niches. The economic transformation is staggering. In two years, GPT-4-level intelligence costs dropped 90%. Models costing hundreds of millions to train now run on hardware costing thousands. The book analyzes true AI costs beyond API prices-infrastructure, expertise, and operations-helping organizations decide whether to build or buy capabilities. A key contribution is examining the open-source versus proprietary divide. Through case studies and cost analyses, readers learn when "free" models save money, when APIs provide better value, and how to combine both effectively. Legal complexities, from licensing restrictions to IP implications, receive careful attention. Looking ahead, the book projects AI's 2025-2026 impact across major sectors. Finance will see real-time risk modeling and hyper-personalized advisory. Medicine will witness AI diagnostics outperforming specialists and compressed drug discovery timelines. Engineering will adopt generative design and predictive maintenance as standards. The book addresses crucial questions about measuring machine intelligence, revealing how benchmark convergence at 90% performance forces new evaluation approaches. Specialized reasoning models that trade speed for accuracy represent a new frontier for applications requiring deep thought over quick patterns. Essential reading for technology leaders, executives, investors, policymakers, and developers seeking to understand how AI will reshape business and society. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Paperback. Condition: new. Paperback. In 2016, a machine made a move that shouldn't have been reasonable. AlphaGo's Move 37 against world champion Lee Sedol defied 2,500 years of accumulated Go wisdom-a shoulder hit on the fifth line that had a 1-in-10,000 probability of being played by any human expert. Yet this seemingly absur…d move proved not just valid but brilliant, revealing strategic depths that generations of masters had missed. It was the moment the world realized that artificial intelligence hadn't just learned to play our games-it had begun to reimagine them entirely. AI Game Theory explores this profound transformation: how machines are revolutionizing the mathematics of strategy itself. From poker bots that bluff with superhuman sophistication to algorithms that tackle climate negotiations involving 200 nations, AI has shattered the computational barriers that limited game theory since von Neumann's foundational work in the 1940s. But this isn't just a story of raw computational power. Through real-world examples-like the 2010 Flash Crash that erased $1 trillion in minutes, supply chains that self-organize like ecosystems, and AI diplomats that master human deception-this book reveals how machine learning fundamentally changes strategic thinking. Neural networks discover equilibria in games too complex to even write down. Reinforcement learning agents develop intuitions that transcend human understanding. Evolutionary algorithms maintain diverse strategies that adapt to opponents in real-time. Drawing on cutting-edge research and packed with practical Python implementations, this book bridges the gap between theoretical foundations and revolutionary applications. Readers will discover how AI conquers poker through counterfactual regret minimization, how multi-agent systems coordinate disaster relief, and how quantum computing promises exponential speedups for solving strategic problems. Yet with great power comes great responsibility. As AI systems predict voter behavior with uncanny accuracy and algorithms accidentally collude to fix prices, we face urgent questions about fairness, transparency, and human agency. This book doesn't shy away from these challenges, offering frameworks for ensuring AI enhances rather than undermines strategic decision-making. Whether you're a researcher pushing the boundaries of AI, a practitioner applying game theory to real problems, or simply curious about how machines are learning to outwit us at our own games, this book provides both the technical depth and accessible explanations needed to understand-and shape-the future of strategic reasoning. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Independently Published, 2025
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
£ 20.99
£ 37.00 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: new. Paperback. In November 2022, OpenAI quietly released ChatGPT to the public. Within five days, it had a million users. Within two months, one hundred million. This moment marked the beginning of the most rapid technological transformation in history-one that would fundamentally reshape not just the tech… industry, but every aspect of how we work, learn, and interact with information. "Puzzling AI Trends" traces the Large Language Model revolution through three distinct eras. The Pre-Cambrian Era (2022) saw AI locked within tech giants, with models costing tens of millions to train. The Cambrian Explosion (2023) brought ChatGPT's viral success and Meta's game-changing decision to open-source LLaMA, democratizing AI access. The Great Bifurcation (2024-2025) split the market between commoditized general intelligence and premium reasoning systems. The book profiles major players reshaping AI: OpenAI's relentless capability push, Google's infrastructure dominance, Anthropic's safety focus, and Meta's disruptive open-source strategy. It reveals how Chinese companies like DeepSeek and the UAE's Falcon challenge Western dominance while specialized innovators find profitable niches. The economic transformation is staggering. In two years, GPT-4-level intelligence costs dropped 90%. Models costing hundreds of millions to train now run on hardware costing thousands. The book analyzes true AI costs beyond API prices-infrastructure, expertise, and operations-helping organizations decide whether to build or buy capabilities. A key contribution is examining the open-source versus proprietary divide. Through case studies and cost analyses, readers learn when "free" models save money, when APIs provide better value, and how to combine both effectively. Legal complexities, from licensing restrictions to IP implications, receive careful attention. Looking ahead, the book projects AI's 2025-2026 impact across major sectors. Finance will see real-time risk modeling and hyper-personalized advisory. Medicine will witness AI diagnostics outperforming specialists and compressed drug discovery timelines. Engineering will adopt generative design and predictive maintenance as standards. The book addresses crucial questions about measuring machine intelligence, revealing how benchmark convergence at 90% performance forces new evaluation approaches. Specialized reasoning models that trade speed for accuracy represent a new frontier for applications requiring deep thought over quick patterns. Essential reading for technology leaders, executives, investors, policymakers, and developers seeking to understand how AI will reshape business and society. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
