30/10/2023
New research from the University of California, Berkeley, suggests that artificial intelligence (AI) systems process signals in a way strikingly similar to how the human brain interprets speech. By comparing brain activity while listening to a single syllable with signals produced by an AI system trained to learn English, researchers found that the shapes of the signals were remarkably similar. The study highlights the potential for AI to mimic human cognition and improve our understanding of how these systems learn. Understanding this process can help address biases, improve AI models, and make them more interpretable. Researchers are also studying how languages like Mandarin are decoded differently in the brain.
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