Building AI That Processes Language as People Do

Takeaways

We’re announcing a long-term AI research initiative to better understand how the human brain processes speech and text and build AI systems that learn like people do.
We also collaborated with NeuroSpin (CEA) and INRIA to compare language models with brain responses.
Our researchers discovered that while the brain anticipates words far ahead in time, most language models today are typically trained to predict just the very next word.

Today, we’re announcing a long-term AI research initiative to better understand how the human brain processes speech and text. In collaboration with neuroimaging center Neurospin (CEA) and Inria, we’re comparing how AI language models and the brain respond to the same spoken or written sentences. We’ll use insights from this work to guide the development of AI that processes speech and text as efficiently as people. Over the past two years, we’ve applied deep learning techniques to public neuroimaging data sets to analyze how the brain processes words and sentences.