Research

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composite statistic of life expectancy, education, and income indices

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Real-time object detection demands high throughput and low latency, necessitating the use of hardware accelerators. NPU is specialized hardware designed to accelerate the calculation of deep learning models, providing better energy efficiency and parallel processing performance than existing CPUs or GPUs. In particular, it plays an important role in reducing latency and improving processing speed in applications that require real-time processing. In this paper, we construct a real-time object detection system based on YOLOv3, utilizing Neubla’s Antara NPU, and propose two approaches for performance optimization. First, we ensure the continuity of NPU inference by allowing the CPU to process data in advance through double buffering. Second, in a multi-NPU environment, we distribute tasks among NPUs through queue-based processing and analyze the performance limits using Amdahl’s law. Experimental results demonstrate that compared to a CPU-only environment, applying the NPU in single buffering improved throughput by 2.13 times, double buffering by 3.35 times, and in a multi-NPU environment by 4.81 times. Latency decreased by 1.6 times in single and double buffering, and by 1.18 times in the multi-NPU environment. The accuracy remained consistent, with 31.4 mAP on the CPU and 31.8 mAP on the NPU.

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Understanding Vanishing and Exploding Gradients in Deep Learning by Oluwaseyi Akinsanya This article is a continuation of my previous Medium post on Gradient Descent Optimization, where we explored …

economy of the country

Palestinian statistician and UN official (1919-2005)

This page documents the utility functions and data structures that support the FFI layer by providing JSON parsing, JSON construction, error handling, and helper operations. These utilities bridge the

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Virtual economy

Research libraries are establishing BRI services to support researchers & administrators alike. Learn about BRI efforts at three US research universities.

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Kernels & AI inference engine for mobile devices

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AI model sharing platform, online run models to generate image,viode and traning model for free. Your can upload and download models, include Checkpoint, Embedding, ControlNet, LoRA, Pony, LoCon, LyCORIS. Also we offer some base model like Stable Diffusion 1.5, SDXL and Hunyuan-DiT, Wan, FLUX, VACE to generate.

local currency issued by the Salt Spring Island Monetary Foundation and used in Salt Spring Island, British Columbia, Canada