Artificial Intelligence, Brain and cognitive sciences, Computer science and technology, Language, Machine learning, McGovern Institute, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Neuroscience, Research, School of Engineering, School of Science, UncategorizedApril 26, 202440Views0Likes0Comments
The year 2023 marked several significant achievements for the Massachusetts Institute of Technology (MIT) as it sought to unravel the mysteries of the inner and outer world. From President Sally Kornbluth's inauguration, Mark Rober's address at the commencement, to Professor Moungi Bawendi winning the Nobel Prize in Chemistry, the institution has had an exciting year.
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MIT neuroscientists have used an artificial language network to determine the type of sentences that most stimulate the brain's key language processing regions. Their study reveals that the brain reacts more to complex sentences with unusual grammar or unexpected meaning. Straightforward sentences or nonsensical sequences show little engagement. The researchers focused on language processing regions…
A team of neuroscientists from the Massachusetts Institute of Technology (MIT) have used an artificial language network to identify the type of sentences that activate the brain's critical language processing centres. The team learned that more complex sentences, which feature unusual grammar or unexpected meanings, generate strong responses from these centres, while straightforward sentences barely…
Using an artificial language network, neuroscientists from MIT have identified the type of sentences that most effectively activate the human brain's language processing centres. Their findings, published in Nature Human Behavior, show that the most stimulating sentences are those which are complex due to uncommon words or grammar, or unexpected meanings. Simplistic sentences or nonsensical…
A recent study from MIT has uncovered that the human brain's principal language processing centers are most activated while reading complex, unusual sentences. The artificial language network assisted study revealed that the more intricate a sentence was, either through unconventional grammar or unexpected meaning, the more these language processing centers were activated. In contrast, simple…
MIT researchers have used an artificial language network to decipher which types of sentences activate the brain's language processing centers most effectively. Their study reveals that sentences of higher complexity with unusual grammar or unexpected meanings engage these centers to a greater degree than straightforward sentences or nonsensical series of words. Their findings are based…