Network-Based and Joint Warfare in the Turkish Armed Forces
Latest Thread
Havelsan Journal issue 9
Contains valuable information about future autonomous concepts, integration of manned-unmanned and unmanned-unmanned systems and augmented systems to increase situational awareness.
View attachment 20400 View attachment 20401 View attachment 20402 View attachment 20403
Human trials have been carried out in the field for the military wearable exoskeleton system. page 103.
The automation level of the cenker system has been increased, electro-optical unit, mini/nano UAV integrations have been realized and mass production of the system has been started.
Exoskeletons and wearable electronics occupy an important place in HAVELSAN's digital army concept. The joint work of institutes and related defense industry companies for the concept of joint operation of autonomous systems (sea,land and air) will raise the situational awareness of the Turkish Armed Forces to a new level.
TÜBITAK Bilgem Cloud Computing and Big Data Research Laboratory is developing the HumanE-AI-Net project to facilitate human artificial intelligence interaction. It was announced that one of the outputs of the project was the development of a brain computer interface.
In this context, Dr. Mehmet HAKLIDIR implied it that Aselsan's cenker project was involved. As part of the project, it also seems that the exoskeleton project is associated with the topic. Here, brain computer interface technology can provide us with incredible possibilities for sensor fusion and machine learning. As in the United States, it takes a person's mind to see such horizon-opening projects in Turkey.
HumanE Al Net
The development of robust and trustworthy artificial intelligence (AI) systems has fundamental challenges, such as understanding humans, adapting to complex real-world environments, and interacting appropriately in complex social environments. At this point, the general vision is to facilitate AI systems that improve human abilities, while also empowering individuals and society as a whole by taking into account human autonomy and self-determination. For the development of such systems, breakthroughs in the interfaces of various fields such as human-computer interaction, cognitive science, social sciences, complex systems are required instead of only traditional AI systems. The HumanE-AI-Net project brings together a community of expertise in all these areas and interfaces between them.
The project vision is built on ethical values and trust (Responsible AI). These are closely intertwined with AI's impact on society, including issues with complex dynamic interactions between networked AI systems, the environment and people. Therefore, the basic gaps in knowledge and technology are addressed in three closely related areas in relation to the main AI issues in the project content:
• Learning, reasoning and planning
• Multimodal perception of dynamic real world and social environments
• Human-friendly collaboration and co-creation in mixed human-artificial intelligence environments