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SNNs Power Energy-Efficient Place Recognition
A research article recently posted on arXiv preprint* server explored the potential of spiking neural networks (SNNs) in ...
Michael Milford receives funding from the Australian Research Council, the Australian Economic Accelerator, the Queensland Government, Amazon, Ford Motor Company, iMOVE CRC, the DAAD Australia-Germany ...
QUT robotics researchers have developed a new robot navigation system that mimics neural processes of the human brain and uses less than 10 per cent of the energy required by traditional systems. In a ...
Visual perception and scene recognition encompass the complex cognitive processes by which humans extract, interpret and respond to visual information in real-world environments. This field ...
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Object recognition shaped by prior experience as brain adapts to new visual information, study shows
Our brains begin to create internal representations of the world around us from the first moment we open our eyes. We perceptually assemble components of scenes into recognizable objects thanks to ...
BROOKLYN, New York, Feb 15, 2022 – A new dataset released by a New York University Tandon School of Engineering research team and Woven Planet Holdings, Inc., a Toyota subsidiary dedicated to building ...
Visual sentiment analysis and emotion recognition constitute a rapidly evolving interdisciplinary field at the confluence of computer vision, machine learning, and affective computing. These ...
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