AI understands concrete, but fails abstract: study proposes teaching machines like the human brain
Research from the University of Zhejiang reveals that AI models improve on concrete concepts by increasing parameters, but lose abstraction capacity. Scientists propose using brain signals to optimize artificial intelligence architectures.