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An energy-efficient Deep Neural Network (DNN) processor is proposed for high-speed Visual Attention (VA) engine in a mobile vision recognition SoC. The proposed embedded DNN (E-DNN) processor realizes VA to rapidly find Region-Of-Interest (ROI) tiles of potential target objects to reduce $\sim 70$ % of recognition workloads of a vision recognition SoC. Compared to the previous scale-invariant feature...
We propose an analog Radial-Basis-Function (RBF) circuit that generates 4 different types of RBFs, which are spline, Gaussian, multi-quadratic, and log-like spline curves. Moreover, the proposed RBF circuit is designed to have high tunability on centers, heights, and widths. The proposed RBF circuit is also robust to both temperature variation (−37∼87DC) and supply voltage variation (1∼2V). The sum...
Artificial intelligence (Al) functions are becoming important in smartphones, portable game consoles, and robots for such intelligent applications as object detection, recognition, and human-computer interfaces (HCI). Most of these functions are realized in software with neural networks (NN) and fuzzy systems (FS), but due to power and speed limitations, a hardware solution is needed. For example,...
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