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An Energy Efficient Hardware Accelerator for an LSTM-RNN
Background Energy-efficient portable devices, such as smartphones and wearable electronics, now dominate the personal computing market. As artificial intelligence continues to develop, integration of deep learning into embedded and mobile applications has become a natural course in its evolutionary. Unlike deep neural networks (DNNs) and convolutional...
Published: 2/26/2026   |   Inventor(s): Elham Azari, Sarma Vrudhula
Keywords(s):  
Category(s): Physical Science, Computing & Information Technology, Wireless & Networking