BBC reports that researchers are exploring brain inspired AI to boost performance and efficiency. The approach mimics basic brain wiring to improve learning from fewer examples, adapt to new situations, and cut energy use. It points to neuromorphic hardware and spiking neural networks as likely paths for implementation. The work faces heavy challenges, including technical complexity, hardware demands, and unresolved ethical questions about autonomy and unintended behaviors. Details are limited, but the thrust is smarter, more efficient systems modeled on biological principles.
