Defence Application of Artificial Intelligence & Machine Learning: Artificial Intelligence Autonomous Defence System & Robotics - Softcover

O. Matthew, Ugochukwu; S. KAZAURE, ENGR. DR. JAZULI

 
9786202921619: Defence Application of Artificial Intelligence & Machine Learning: Artificial Intelligence Autonomous Defence System & Robotics

Inhaltsangabe

The ultimate goal of the current digital society extreme automation is to enable artificial intelligence (AI) autonomous Unmanned Aerial Vehicles (UAVs) modelled with Machine Learning to respond expeditiously in the security surveillance in several missions beyond visually line of sight (BVLOS) which are the fundamental aspect of modern warfare controlled through the cloud infrastructure in Internet of Thing (IoTs) computing. When contrasted with other conventional weapon systems, the military defence systems furnished with Artificial Intelligence and Machine Learning are proficient in managing extensive volumes of data set more powerfully. Moreover, Artificial Intelligence enhances self-learning for all autonomous UAVs self-awareness, self-control, self-actuation, self-protection and self-regulation for defensive missions, owing to its intrinsic computing and decision-making competencies. The defence application of Artificial Intelligence is almost in every military intelligence formation with improved military research and development funding to advance new and progressive applications for AI driven systems in military combatant logistics for process modernism.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Ugochukwu O. Matthew & Engr. Dr. Jazuli S. Kazaure are  academic scholars with Hussaini Adamu Federal Polytechnic , P.M.B 5004 Kazaure , Nigeria in  the  Department of Computer Science and Electrical Electronics Engineering respectively. Both scholar have  been collaborating , working  in synergy in  the  field  of  modern computing  technologies.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.