AI robots could assist soldiers in future: Study

Scientists in the US, They observed the brain activity of soldiers during specific tasks to find ways to integrate artificial intelligence to carry out tasks dynamically and help them on the battlefield.
In the United States, scientists are developing artificial intelligence systems that could help robots help soldiers on the battlefield in the future.



For the research, published in the journal Science Advances, the team examined the brain activity of soldiers during specific tasks and ways to incorporate AI teamwork to carry out tasks dynamically.

According to Jean Vettel, a senior neuroscientist at the Army Research Laboratory (ARL) in the United States. Technologies to predict the states and behaviors of each soldier can help to create a more optimized team.

The work between ARL and the University of Buffalo is looking for ways to coordinate the dynamics and architecture of the human brain to predict these behaviors and thereby optimize team performance.

"In military operations, soldiers perform multiple tasks at once." They analyze information from multiple sources, navigating in environments while simultaneously assessing threats, sharing information about the situation, and communicating with a distributed team. " said Vettel.

"This requires that soldiers constantly alternate between these tasks, which means that the brain is rapidly changing between the different brain regions needed for these different tasks," he said.

"If we can use the brain data for the moment to indicate the task at hand, the AI ​​could respond dynamically and adapt to help the soldier carry out this task," he added.

To achieve this future capacity, researchers first tried to understand how the brain coordinates its different regions while performing a particular task. They used a computer-based approach to understand how this can be characterized in order to inform the prediction of behavior.

To complete the study, the researchers mapped the different regions of the brain connected to each other in 30 different people through tissues called white matter.

Scientists converted these maps into computer models of each subject's brain and used computers to simulate what would happen when only one area of ​​a person's brain was stimulated.

They then used a mathematical framework, which they developed, to measure the synchronization of brain activity across various cognitive systems in simulations.

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