Robots may someday explore using features borrowed from your brain
An artificial neural network has spontaneously formed something similar to the brain’s navigation neurons.
The news: While training an AI program to navigate a virtual maze, Alphabet-owned company DeepMind found the program developed architectures similar to those found in the human brain.
How did this happen? As detailed in a paper published yesterday in Nature, the neural network developed something similar to the “grid cells” found in a biological brain, which seem to provide a way for an animal to position itself in physical space.
Why it matters: The research suggests that grid cells play a big role in how animals—including humans—find their way around the world. This discovery might eventually have significant practical benefits, like helping robots navigate through unfamiliar buildings
The news: While training an AI program to navigate a virtual maze, Alphabet-owned company DeepMind found the program developed architectures similar to those found in the human brain.
How did this happen? As detailed in a paper published yesterday in Nature, the neural network developed something similar to the “grid cells” found in a biological brain, which seem to provide a way for an animal to position itself in physical space.
Why it matters: The research suggests that grid cells play a big role in how animals—including humans—find their way around the world. This discovery might eventually have significant practical benefits, like helping robots navigate through unfamiliar buildings
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