A new study reveals current machine learning algorithms may not be reliable in identifying brain regions associated with processing specific syllables. Researchers report machine learning may be effective at decoding mental activity from neuroimaging data, but is not quite so effective at decoding specific information processing mechanisms in the brain.
Researchers report computer based analysis of speech transcripts from teens at risk of psychosis were able to predict, with 83% accuracy, who would develop symptoms within 2 years.
Machine learning can predict, with significant accuracy, whether a person is a musician or not, based on fMRI data collected while subjects listened to music.
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AI researchers developed an algorithm that teaches machines to win games, cooperate, compromise and even trash talk.
On January 12th, the first full length, main stream album co-written by artificial intelligence was released. Researchers belie the collaboration could lead to a brand new style of music composition.
Despite a lot of public worry that the AI revolution is going to impact the workforce, researchers report this is likely not to be the case. However, they note, the introduction to machine learning in the workforce could transform the economy as much as the introduction of the steam engine and other technologies did in the past.
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A new AI system may shed light on how and when humans begins to use different information processing resources.