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‘Mind reading’ technology identifies complex thoughts, using machine learning and fMRI | KurzweilAI

‘Mind reading’ technology identifies complex thoughts, using machine learning and fMRI | KurzweilAI

By combining machine-learning algorithms with fMRI brain imaging technology, Carnegie Mellon University (CMU) scientists have discovered, in essense, how to “read minds.”

The researchers used functional magnetic resonance imaging (fMRI) to view how the brain encodes various thoughts (based on blood-flow patterns in the brain). They discovered that the mind’s building blocks for constructing complex thoughts are formed, not by words, but by specific combinations of the brain’s various sub-systems.

Following up on previous research, the findings, published in Human Brain Mapping (open-access preprint here) and funded by the U.S. Intelligence Advanced Research Projects Activity (IARPA), provide new evidence that the neural dimensions of concept representation are universal across people and languages.

Source: ‘Mind reading’ technology identifies complex thoughts, using machine learning and fMRI | KurzweilAI