Homeland and territorial security with AI

Books On Demand - EAN : 9782322524808
CIROUSSEL BRUNO
Édition papier

EAN : 9782322524808

Paru le : 23 avr. 2024

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  • EAN13 : 9782322524808
  • Réf. éditeur : 346413
  • Editeur : Books On Demand
  • Date Parution : 23 avr. 2024
  • Disponibilite : Disponible
  • Barème de remise : NS
  • Nombre de pages : 268
  • Format : H:210 mm L:148 mm E:19 mm
  • Poids : 393gr
  • Résumé : This book explores the innovative concept of a knowledge cartridge dedicated to internal and territorial security, employing the Aitek platform - a cutting-edge AI and Big Data framework enriched by 25,000 man-days of research and development. It delves into the foundational principles of the knowledge cartridge system and subsequently addresses the critical challenges inherent in homeland and territorial security, with a particular focus on counter-terrorism efforts. Through a detailed examination, the thesis presents how artificial intelligence can be strategically applied to these challenges, offering a novel approach to enhancing security measures and operational efficiency within the domain of internal and territorial security. This work not only contributes to the academic discourse on AI's role in security but also proposes practical AI-driven solutions to complex security problems, thereby bridging the gap between theoretical research and real-world application.
  • Biographie : Bruno Ciroussel, born in Lyon in 1964, is a french and swiss businessman. He is an engineer and author of the "Aitek methodology" dedicated to Auto-ML, now in its 6th edition, and has implemented his methodology in an universal Auto-ML platform: the "Aitek Engine", applicable in multiple functional domains such as banking, insurance, healthcare, logistics and telecom. He has also adapted his Aitek platform for deployment in the territorial surveillance, Homeland, and customs security sectors and delivered. Bruno Ciroussel is also author, lecturer and speaker on various issues encompassing Artificial Intelligence, Machine Learning as well as the impact of these and other technologies on business, security, gover-nment, and the democratic system.
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