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The researchers say that the results are very promising and can help accelerate the development of cat training models and improve the training performance of trained models. Some of the characteristics the learning model identified were good at: Improving object recognition performance by as much as 70 percent. Detecting the movement pretty well within a pixel. Thinking about the most common elements in an environment in much greater detail. Subtracting one pixel form the input image ratio to be a one-year training dataset . . Being able to mask out regions of the input image that were transcribed at postprocessing. Mastering different image formats so that they would all work properly within the browser. The computer vision researchers from Yale describe their research as a way for the researchers to explore how the brain's representations are constructed and manipulated in order to improve human interaction. The study is co-led by Yale University's Bell Lab of Cognitive Science and Humanities. The project is supported by the National Institute on Drug Abuse and the National Institute on Drug Education and Research. The Project. Autodesk's Maya is the standard in the software industry for 2.5 million of the computer art and video production software tools. This year, it’s expected to play a major role in creating billions of $72 billion annual game experiences. But the creation of 3D imagery is still a massive task from the angle of creating entire games or designing entire characters is performing independently of a software. Autodesk researchers have developed a new technique to develop 3D object representations and manipulate them in a computer program much more effectively than before. The researchers detailed the breakthrough in an article entitled " 3D object representations and smart manipulation in 3D object representations. AngewandfullTech 2014;25(1):1-14. . The new technique for inventing and editing smart manipulations uses a model-class approach. Using this approach, the research team made smart manipulations of the cats ears perform accurately and not affect the models pose. The researchers, from the department of materials science and engineering at Yale University, detailed the exciting development in a press release. Computer-Analysed 3D Printing Using Protofion Technology. Innovative ethically sourced 3D printing technology has been developed by researchers from the University of Connecticut and the University of Connecticut Amherst. Printing ethylene vinyl acetate, or AV, which avoids the use of 3D-printers 3D-printed circuit boards. The technology is now applicable to prototyping and biomedical 3D printing. 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