Researchers from University of Edinburgh and Method Studios developed a real-time character control mechanism using deep learning that can help virtual characters walk, run and jump a little more naturally. ��Data-driven motion synthesis using neural networks is attracting researchers in both the computer animation and machine learning communities thanks to its high scalability and runtime��
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