neuromorphic computing seeks to replicate the structure and function of the human brain in silicon chips. in 2025, u.s. research labs are designing chips capable of parallel processing and energy-efficient learning. this approach could revolutionize ai, robotics, and cognitive computing by enabling machines to learn and adapt more naturally. neuromorphic systems promise faster decision-making and pattern recognition, unlocking new applications in autonomous vehicles, smart devices, and intelligent industrial systems.
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- us states suing federal govt over ev infrastructure rollback
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