U.S. Army researchers are working on a new AI system that lets soldiers and autonomous systems complement each other.
This AI teaming process is similar to how smartphones autocorrect in texting, and mapping applications redirect navigation in real-time to avoid slowed traffic.
The aim of the project is to create technologies that can predict states and behaviors of the individual to create a more optimized team, says ARL senior neuroscientist Dr. Jean Vettel.
An ARL-University at Buffalo collab is currently looking at how the dynamics and architecture of the human brain may be coordinated to predict such behaviors and consequently optimize team performance.
“In military operations, Soldiers perform multiple tasks at once. They’re analyzing information from multiple sources, navigating environments while simultaneously assessing threats, sharing situational awareness, and communicating with a distributed team, explains Vettel.
“This requires soldiers to constantly switch among these tasks, which means that the brain is also rapidly shifting among the different brain regions needed for these different tasks.”
“If we can use brain data in the moment to indicate what task they’re doing, AI could dynamically respond and adapt to assist the Soldier in completing the task.”
To achieve this future capability, the researchers used a computational approach to understand how the brain coordinates its different regions while executing a particular task.
They mapped how different regions of the brain were connected to one another in 30 different people via tracts of tissue called white matter.
The scientists then converted these maps into computational models of each subject’s brain, and used computers to simulate what would happen when a single region of a person’s brain was stimulated.
“The brain is very dynamic,” says Dr. Kanika Bansal, lead author on the work. “Connections between different regions of the brain can change with learning or deteriorate with age or neurological disease.”
She contends that their research could help assess how small changes in the organization of the brain can affect large-scale patterns of brain activity related to various cognitive systems.
ARL/Washington Post-Alexander Koerner-Getty Images