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Army researchers are teaching artificial intelligence to learn from humans to become sharper shooters.
At the annual Intelligent User Interface conference, scientists from DCS Corp and the Army Research Lab revealed how training a neural network on datasets of human brain waves can improve its ability to identify a target in a dynamic environment.
The approach teaches AI to spot when a human has made a targeted decision, with hopes that it could one day be used to assess a battlefield scenario in real-time.
The study comes as part of the multi-year Cognition and Neuroergonomics Collaborative Technology Alliance, according to Defense One.
And, it’s a step toward artificial intelligence that can solve problems in a changing environment, such as a military setting.
‘We know that there are signals in the brain that show up when you perceive something that’s salient,’ said Matthew Jaswa, one of the authors on the paper.
By training an AI to recognize these signals using massive datasets of human brainwaves, it could one day be able to instantly understand, in real time, when a solider is making a targeted decision.
DARPA revealed it is funding eight separate research efforts to determine if electrical stimulation can safely be used to 'enhance learning and accelerate training skills.'
Ultimately, doing this could allow a person to quickly master complex skills that would normally take thousands of hours of practice.
The program, called the Targeted Neuroplasticity Training (TNT) program, aims to use the body's peripheral nervous system to accelerate the learning process.
This would be done by activating a process known as 'synaptic plasticity' – a key process in the brain involved in learning – with electrical stimulation.