New Computational Intelligence and Neuroscience Research from University of Pisa Outlined (A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on computational intelligence and neuroscience have been published. According to news reporting from Pisa, Italy, by NewsRx journalists, research stated, “Recurrent Neural Networks (RNNs) have become important tools for tasks such as speech recognition, text generation, or natural language processing. However, their inference may involve up to billions of operations and their large number of parameters leads to large storage size and runtime memory usage.”