New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
IEEE

LOG-CIM: An Energy-Efficient Logarithmic Quantization Computing-In-Memory Processor With Exponential Parallel Data Mapping and Zero-Aware 6T Dual-WL Cell

Abstract: This article introduces the logarithmic quantization computing-in-memory processor (LOG-CIM), an advanced processor that extends the capabilities of conventional linear quantization (INT) by ...
IEEE

An Accelerated FPGA-Based Parallel CNN-LSTM Computing Device

Abstract: Recently, the combination of convolutional neural network (CNN) and long short-term memory (LSTM) exhibits better performance than single network architecture. Most of these studies connect ...