Semantic networks have actually made a seismic influence on just how designers layout controllers for robotics, militarizing even more flexible and reliable makers. Still, these brain-like machine-learning systems are a double-edged sword: Their intricacy makes them effective, however it additionally makes it challenging to ensure that a robotic powered by a semantic network will securely complete its job.
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