Researchers from MIT, the MIT-IBM Watson AI Lab, and Harvard Medical School have discovered parallels between AI transformer architecture and human neurobiology. The study suggests that biological astrocyte-neuron networks could mimic the core computations of transformers, providing new insights into human cognition. However, the complexity of human minds remains a challenge, with significant gaps between human cognition and data-hungry transformer models.
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