Applied Swarm Intelligence

Provides a comprehensive analysis of the tools and techniques used for the development of efficient and robust decentralized infrastructures for various real-life scenarios, ranging from financial investment through blockchain protocols, shared transportation systems and communication networks, to bioinformatics and military applications.

Inhaltsverzeichnis

The Dynamics of Autonomous Drone Swarms in Surveillance: Exploring Efficiency, Feasibility, and Complexity. Defending Large-Scale Critical Infrastructures using a Swarm of Drones. Socioeconomic Patterns of Twitter Activity. From Microbes to Methane: AI-Based Predictive Modeling of Feed Additive Efficacy in Dairy Cows.

Über den Autor / die Autorin

Yaniv Altshuler, a leading expert in Artificial Intelligence, is a researcher at the MIT Media Lab, Cambridge, Massachusetts, USA and a dynamic entrepreneur. Over the past decade he has used his expertise to advise leading financial institutes and government agencies worldwide. Yaniv is the author of 3 books on the topic of AI and has published over 80 scientific papers and filed 18 patents. His research has been covered by Harvard Business Review, Financial Times, Communications of the ACM, IEEE Spectrum and others.

Zusammenfassung

Provides a comprehensive analysis of the tools and techniques used for the development of efficient and robust decentralized infrastructures for various real-life scenarios, ranging from financial investment through blockchain protocols, shared transportation systems and communication networks, to bioinformatics and military applications.

Produktdetails

• Autoren: Yaniv (Research Affiliate Altshuler, Yaniv (Research Affiliate Mit Media Lab Altshuler, Yaniv (Research Affiliate) Altshuler, Yaniv (Research Affiliatemit Media Lab7 Altshuler
• Mitarbeit: Yaniv Altshuler (Herausgeber), Yaniv (Research Affiliate MIT Media Lab 77 Massachusetts Ave. Altshuler (Herausgeber), Altshuler Yaniv (Herausgeber)
• Verlag: Taylor & Francis Ltd.
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 31.12.2019
• EAN: 9780367226879
• ISBN: 978-0-367-22687-9
• Seiten: 332
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Elektronik, Elektrotechnik, Nachrichtentechnik; SCIENCE / Life Sciences / General, Artificial Intelligence, COMPUTERS / Machine Theory, algorithms and data structures, Automatic control engineering, Databases, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, Neural networks and fuzzy systems