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• Foreword
• Preface
• Part I. New Interfaces and Applications: 1. Smart rooms: machine understanding of human behavior A. Pentland
• 2. GestureComputer - history, design and applications C. Maggioni, and B. Kammerer
• 3. Human reader: a vision-based man-machine interface K. Mase
• 4. Visual sensing of humans for active public interfaces K. Waters, J. Rehg, M. Loghlin, S. B. King, and D. Terzopoulos
• 5. Pointing with uncalibrated stereo vision R. Cipolla, and N. J. Hollinghurst
• Part II. Tracking Human Action: 6. Tracking faces A. Gee, and R. Cipolla
• 7. Towards automated, real-time, facial animation B. Bascle, A. Blake, and J. Morris
• 8. Interfacing through visual pointers C. Colombo, A. Del Bimbo, and S. De Magistris
• 9. Monocular tracking of the human arm in 3D E. Di Bernado, L. Goncalves, and P. Perona
• 10. Looking at people in action - an overview Y. Yacoob, L. Davis, M. Black, D. Gavrila, T. Horprasert, and C. Morimoto
• Part III. Gesture Recognition and Interpretation: 11. A framework for gesture generation and interpretation J. Cassell
• 12. Model-based interpreation of faces and hand gestures C. J. Taylor, A. Lanitis, T. F. Cootes, G. Edwards, and T. Ahmad
• 13. Recognition of handsigns from complex backgrounds J. J. Weng, and Y. Cui
• 14. Probabilistic models of verbal and body gestures C. Bregler, S. Omohundro, M. Covell, M. Slaney, S. Ahmad, D. Forsyth, and J. Feldman
• 15. Looking at human gestures M. Yachida, Y. Iwai
• Ackowledgements
• Bibliography
• List of contributors.
• (source: Nielsen Book Data)

Recent advances in the field of computer vision are leading to novel and radical changes in the way we interact with computers. It will soon be possible to enable a computer linked to a video camera to detect the presence of users, track faces, arms and hands in real time, and analyse expressions and gestures. The implications for interface design are immense and are expected to have major repercussions for all areas where computers are used, from the work place to recreation. This book collects the ideas and algorithms from the world's leading scientists, offering a glimpse of the radical changes that are round the corner and which will change the way we will interact with computers in the near future.
(source: Nielsen Book Data)

• Preface: A God's eye view
• Honest signals
• Social roles
• Reading people
• Survival signals
• Network intelligence
• Sensible organizations
• Sensible societies.

How can you know when someone is bluffing? Paying attention? Genuinely interested? The answer, writes Alex Pentland in Honest Signals, is that subtle patterns in how we interact with other people reveal our attitudes toward them. These unconscious social signals are not just a back channel or a complement to our conscious language; they form a separate communication network. Biologically based "honest signaling, " evolved from ancient primate signaling mechanisms, offers an unmatched window into our intentions, goals, and values. If we understand this ancient channel of communication, Pentland claims, we can accurately predict the outcomes of situations ranging from job interviews to first dates. Pentland, an MIT professor, has used a specially designed digital sensor worn like an ID badge -- a "sociometer" -- to monitor and analyze the back-and-forth patterns of signaling among groups of people. He and his researchers found that this second channel of communication, revolving not around words but around social relations, profoundly influences major decisions in our lives -- even though we are largely unaware of it. Pentland presents the scientific background necessary for understanding this form of communication, applies it to examples of group behavior in real organizations, and shows how by "reading" our social networks we can become more successful at pitching an idea, getting a job, or closing a deal. Using this "network intelligence" theory of social signaling, Pentland describes how we can harness the intelligence of our social network to become better managers, workers, and communicators.
(source: Nielsen Book Data)

• Intro; CONTENTS; INTRODUCTION: Cybersecurity and Society; SECTION I MANAGEMENT, ORGANIZATIONS & STRATEGY;
• CHAPTER 1 Institutions for Cybersecurity: International Responses and Data Sharing Initiatives;
• CHAPTER 2 Cybersafety: A Systems Theory Approach to Managing Cybersecurity Risksâ#x80; #x94; Applied to TJX Cyberattack;
• CHAPTER 3 Measuring Stakeholdersâ#x80; #x99; Perceptions of Cybersecurity for Renewable Energy Systems;
• CHAPTER 4 Fixing a Hole: The Labor Market for Bugs; SECTION II ARCHITECTURE;
• CHAPTER 5 Balancing Disruption and Deployability in the CHERI Instruction-Set Architecture (ISA)

• CHAPTER 6 Fundamental Trustworthiness Principles in CHERI
• CHAPTER 7 ISPâ#x80; #x94; Hardware Enforcement of Security Policies;
• CHAPTER 8 Stealing Reality: When Criminals Become Data Scientists;
• CHAPTER 9 Moving Target Techniques: Cyber Resilience through Randomization, Diversity, and Dynamism; SECTION III SYSTEMS;
• CHAPTER 10 Who's Afraid of the Dark Web?;
• CHAPTER 11 Social Physics and Cybercrime;
• CHAPTER 12 Behavioral Biometrics;
• CHAPTER 14 Owner Centric Access Management for IoT Data;
• CHAPTER 15 Enigma: Decentralized Computation Platform with Guaranteed Privacy

• CHAPTER 16 The Trust::Data Framework as a Solution to the Cybersecurity ChallengeConclusion; Contributor Biographies

Experts from MIT explore recent advances in cybersecurity, bringing together management, technical, and sociological perspectives.Ongoing cyberattacks, hacks, data breaches, and privacy concerns demonstrate vividly the inadequacy of existing methods of cybersecurity and the need to develop new and better ones. This book brings together experts from across MIT to explore recent advances in cybersecurity from management, technical, and sociological perspectives. Leading researchers from MIT's Computer Science & Artificial Intelligence Lab, the MIT Media Lab, MIT Sloan School of Management, and MIT Lincoln Lab, along with their counterparts at Draper Lab, the University of Cambridge, and SRI, discuss such varied topics as a systems perspective on managing risk, the development of inherently secure hardware, and the Dark Web. The contributors suggest approaches that range from the market-driven to the theoretical, describe problems that arise in a decentralized, IoT world, and reimagine what optimal systems architecture and effective management might look like.ContributorsYNadav Aharon, Yaniv Altshuler, Manuel Cebrian, Nazli Choucri, Andre DeHon, Ryan Ellis, Yuval Elovici, Harry Halpin, Thomas Hardjono, James Houghton, Keman Huang, Mohammad S. Jalali, Priscilla Koepke, Yang Lee, Stuart Madnick, Simon W. Moore, Katie Moussouris, Peter G. Neumann, Hamed Okhravi, Jothy Rosenberg, Hamid Salim, Michael Siegel, Diane Strong, Gregory T. Sullivan, Richard Wang, Robert N. M. Watson, Guy Zyskind.
(source: Nielsen Book Data)

Experts from MIT explore recent advances in cybersecurity, bringing together management, technical, and sociological perspectives

• Introduction to Swarm Search.- Cooperative "Swarm Cleaning" of Stationary Domains.- Swarm Search of Expanding Regions in Grids: Lower Bounds.- Swarm Search of Expanding Regions in Grids: Upper Bounds.- The Search Complexity of Collaborative Swarms Expanding Z2 Grid Regions.
• (source: Nielsen Book Data)

This book offers a comprehensive analysis of the theory and tools needed for the development of an efficient and robust infrastructure for the design of collaborative patrolling unmanned aerial vehicle (UAV) swarms, focusing on its applications for tactical intelligence drones. It discusses frameworks for robustly and near-optimally analyzing flocks of semi-autonomous vehicles designed to efficiently perform the ongoing dynamic patrolling and scanning of pre-defined "search regions". It discusses the theoretical limitations of such systems, as well as the trade-offs between the systems' various economic and operational parameters. Current UAV systems rely mainly on human operators for the design and adaptation of drones' flying routes. However, recent technological advances have introduced new systems, comprised of a small number of self-organizing vehicles, manually guided at the swarm level by a human operator. With the growing complexity of such man-supervised architectures, it is becoming increasingly harder to guarantee a pre-defined level of performance. The use of large scale swarms of UAVs as a combat and reconnaissance platform therefore necessitates the development of an efficient optimization mechanism of their utilization, specifically in the design and maintenance of their patrolling routes. The book is intended for researchers and engineers in the fields of swarms systems and autonomous drones. .
(source: Nielsen Book Data)

How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data. Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted. Contributors Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy Zyskind An MIT Connection Science and Engineering Book.
(source: Nielsen Book Data)

• Building the new economy : what we need and how to get there
• Building data cooperatives
• Shared data : backbone of a new knowledge economy
• Empowering innovation through data cooperatives
• From securitization to tokenization
• The tradecoin system
• Health IT : algorithms, privacy, and data
• Narrow banks and fiat-backed tokens
• Stable network dynamics in a tokenized financial ecosystem
• Toward an ecosystem of trusted data and AI
• Stablecoins
• Interoperability of distributed systems
• Exhchange Networks for virtual assets
• Conclusion: Legal algorithms

"This book proposes blockchain-based currencies, open algorithms, and data cooperatives as the foundation of a new economy that is decentralized, resilient, and secure"-- Provided by publisher

"This book proposes blockchain-based currencies, open algorithms, and data cooperatives as the foundation of a new economy that is decentralized, resilient, and secure"-- Provided by publisher.

"Academic, industry, and government experts provide a global survey of the financial services sector's transformation by AI, data science, and blockchain"-- Provided by publisher.