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Algorithms

A versatile approach to assist creators in enhancing animation.

Researchers at MIT have developed a technique to give animators greater control over the movements of their 2D and 3D characters. Their method generates barycentric coordinates, mathematical functions that dictate how shapes bend, stretch, and move through space. Unlike other methods, this approach offers flexibility by allowing animators to choose suitable functions for achieving desired…

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An adaptable approach to assist animators in enhancing their artistry.

Researchers at MIT have introduced a new technique for artists that could revolutionise the way animated characters are brought to life in movies and games. The technique is based on barycentric coordinates, a mathematical function that defines how 2D and 3D shapes can move and bend. This is a significant advance on existing techniques which…

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An adaptable approach to assist artists in enhancing animation.

MIT researchers have developed a new method to improve the control animators have over their animated characters. The technique involves the use of a mathematical function called Barycentric coordinates, that defines how both 2D and 3D elements can be manipulated in space. Unlike other techniques, this allows for more flexibility and leeway for creatives. An important…

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A versatile approach to assist animators in enhancing their craft.

Researchers at MIT have developed a technique which provides an updated approach to creating animations and could deliver more control to artists. The technique uses mathematical functions known as barycentric coordinates, which dictate how 2D and 3D shapes interact with space, introducing possibilities for curvature and movement. Current techniques tend to offer limited flexibility, generally…

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A versatile approach to assist animators in enhancing their animation work.

A team of researchers from MIT has introduced a new technique that allows artists of animated movies and video games to have greater control over the movement of their animations. Their method is rooted in mathematical functions called barycentric coordinates, which define how 2D and 3D shapes move, bend and stretch. This level of dynamic…

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Start developing a more efficient AI assistant by first understanding and replicating the unpredictable actions of humans.

Artificial Intelligence (AI) researchers at MIT and the University of Washington have created a model that can predict a human's decision-making behaviour by learning from their past actions. The model incorporates the understanding that humans can behave sub-optimally due to computational constraints — essentially the idea that humans can't spend indefinitely long periods considering the…

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Employing deep learning for imaging the Earth’s atmospheric boundary layer.

The planetary boundary layer (PBL), the lowest layer of the troposphere, significantly influences weather near the Earth's surface and holds the potential to enhance storm forecasting and improve climate projections. A research team from Lincoln Laboratory's Applied Space Systems Group has been studying the PBL with a focus on deploying machine learning for creating 3-D…

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