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The AI Commander
  • Language: en
  • Pages: 241

The AI Commander

This book addresses the largely neglected question of how the fusion of machines into the war machine will affect the human condition of warfare. It emphasizes the "mind" and the mechanisms of thought (intelligence, consciousness, emotion, memory, experience, etc.) to consider the effects of AI and autonomy on the human condition of war.

The New Fire
  • Language: en
  • Pages: 341

The New Fire

  • Type: Book
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  • Published: 2024-03-05
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  • Publisher: MIT Press

AI is revolutionizing the world. Here’s how democracies can come out on top. Artificial intelligence is revolutionizing the modern world. It is ubiquitous—in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. If we wield it for destruction, it will fan the flames of a new kind of war, one that holds democracy in the balance. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgentâ€...

Video Analytics for Business Intelligence
  • Language: en
  • Pages: 374

Video Analytics for Business Intelligence

Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For ex...

2010: Rearview Issue
  • Language: en
  • Pages: 292

2010: Rearview Issue

  • Type: Book
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  • Published: Unknown
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  • Publisher: Lulu.com

None

AI and the Bomb
  • Language: en
  • Pages: 291

AI and the Bomb

This book provides a coherent, innovative, and multidisciplinary examination of the potential effects of AI technology on nuclear strategy and escalation risk. Its findings have significant theoretical and policy ramifications, as well as contributing to the literature on the impact of military force and technological change.

Computer Vision – ECCV 2018
  • Language: en
  • Pages: 861

Computer Vision – ECCV 2018

  • Type: Book
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  • Published: 2018-10-06
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  • Publisher: Springer

The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.

Inside Cyber
  • Language: en
  • Pages: 246

Inside Cyber

Discover how to navigate the intersection of tech, cybersecurity, and commerce In an era where technological innovation evolves at an exponential rate, Inside Cyber: How AI, 5G, and Quantum Computing Will Transform Privacy and Our Security by Chuck Brooks emerges as a critical roadmap for understanding and leveraging the next wave of tech advancements. Brooks, a renowned executive and consultant, breaks down complex technological trends into digestible insights, offering a deep dive into how emerging technologies will shape the future of industry and society. In the book, you'll: Gain clear, accessible explanations of cutting-edge technologies such as AI, blockchain, and quantum computing, a...

Burn-in
  • Language: en
  • Pages: 437

Burn-in

An FBI agent teams up with the first police robot to hunt a shadowy terrorist in this gripping technothriller--and fact-based tour of tomorrow--from the authors of Ghost Fleet America is on the brink of a revolution. AI and robotics have realized science fiction's dreams, but have also taken millions of jobs and left many citizens fearful that the future is leaving them behind. After narrowly averting a bombing at Washington's Union Station, FBI Special Agent Lara Keegan receives a new assignment: to field test the first police robot. In the wake of a series of shocking catastrophes, the two find themselves investigating a conspiracy whose mastermind is using cutting-edge tech to rip the nation apart. To stop this new breed of terrorist, Keegan's only hope is to forge a new kind of partnership. With every tech, trend, and scene drawn from the real world, Burn-In blends a technothriller's excitement with nonfiction's insight to illuminate the darkest corners of our chilling tomorrow.

Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance
  • Language: en
  • Pages: 175

Explainable Artificial Intelligence Based on Neuro-Fuzzy Modeling with Applications in Finance

The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. The vast majority of AI models work like black box models. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations. Therefore, the development of artificial intelligence cannot ignore the need for interpretable, transparent, and explainable models. First, the main idea of the explainable recommenders is outlined within the background of neuro-fuzzy systems. In turn, various novel recommenders are proposed, each characterized by achieving high accuracy with a reasonable number of interpretable fuzzy rules. The main part of the book is devoted to a very challenging problem of stock market recommendations. An original concept of the explainable recommender, based on patterns from previous transactions, is developed; it recommends stocks that fit the strategy of investors, and its recommendations are explainable for investment advisers.