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Computer science and technology

Intricate and unfamiliar sentence structures place increased strain on the brain’s language processing network.

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…

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An adaptable approach to assist creatives in enhancing animation.

A ground-breaking method to give animators more control over their work has been introduced by researchers at the Massachusetts Institute of Technology, represented in a paper by Ana Dodik, the lead author. The technique relies on generating mathematical functions known as 'barycentric coordinates,' which guide how 2D and 3D shapes bend, stretch, and move throughout…

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Media Coverage of MIT: A Look Back at 2023

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Intricate and unknown phrases put more strain on the brain’s language processing system.

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…

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Charting the neural routes associated with visual recall in the brain.

For almost ten years, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have conducted studies to understand why some images are more memorable than others. The team used magnetoencephalography (MEG), which records timing of brain activity, and functional magnetic resonance imaging (fMRI), which identifies active brain regions, to discern when and where in…

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MIT Media Coverage: A Recap of 2023

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Complicated and unfamiliar phrases put more strain on the brain’s language processing system.

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…

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The language network in the brain is taxed more heavily by complicated sentences that aren’t easily recognized.

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…

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In 2024, Gosha Geogdzhayev and Sadhana Lolla were recognized as Scholars by the Gates Cambridge program.

Two MIT seniors Gosha Geogdzhayev and Sadhana Lolla have been awarded the prestigious Gates Cambridge Scholarship. This scholarship provides full-cost education at Cambridge University in the U.K, for post-graduate courses of their choice. Established in 2000 for students from countries outside the U.K., the Gates Cambridge Scholarship aims to create a global network of future…

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Geogdzhayev Gosha and Lolla Sadhana have been announced as 2024 Cambridge Scholars under the Gates Foundation.

MIT seniors Gosha Geogdzhayev and Sadhana Lolla have achieved the distinguished Gates Cambridge Scholarship, granting them the chance to undertake postgraduate study at the University of Cambridge in the UK. Gates Cambridge Scholarships were founded in 2000, with the aim to develop a worldwide network of future leaders committed to improving lives globally. Gosha Geogdzhayev, originally…

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