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MIT-IBM Watson AI Lab

The language network in the brain has to exert more effort when dealing with complicated and unfamiliar sentences.

Researchers from Massachusetts Institute of Technology (MIT) have conducted a study which demonstrates that sentences with complex grammar or unexpected meaning tend to stimulate the brain's key language processing centers significantly more than straightforward or nonsensical sentences. The study was led by Evelina Fedorenko, an Associate Professor of Neuroscience at MIT, and Greta Tuckute, a…

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A versatile approach designed to assist artists in enhancing animation.

A novel technique unveiled by researchers at MIT could provide artists more flexibility while animating characters in movies and video games. The approach involves producing mathematical functions called barycentric coordinates to determine how 2D and 3D shapes can bend, stretch, and manoeuvre through space. Artists are thus provided with multiple options of barycentric coordinate functions…

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An adaptable approach to assist animators in enhancing their artwork.

A new technique developed by MIT researchers aims to give artists more control over their animations. The approach, which generates barycentric coordinates, allows artists to define how 2D and 3D shapes can bend, stretch, and move in space and creates an artifact that fits their vision better. This is a departure from available techniques which…

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A versatile approach to assist artists in enhancing animation.

Media artists who work on animated movies and video games could have more control over their animations, thanks to a new technique developed by researchers at MIT (Massachusetts Institute of Technology). This novel approach uses mathematical functions called barycentric coordinates to define how 2D and 3D shapes can move and change shape. Currently, many techniques for…

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The brain’s language network has to put in more effort when dealing with complicated and unfamiliar sentences.

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…

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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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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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