Overview: AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...
Abstract: Aim: The aim of this paper is to improve the accuracy of initial kidney oncocytoma diagnosis on CT scans using a Hybrid deep learning model based on Convolutional Neural Networks (CNN) and ...
Abstract: Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs ...
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