$1M DARPA Grant for SPiNN for Wireless IoT
ECE Associate Professor Kaushik Chowdhury, Assistant Professor Pau Closas, Professor Deniz Erdogmus, Professor Tommaso Melodia, and Assistant Professor Yanzhi Wang received $1M funding from DARPA for their project titled Signal Processing in Neural Networks (SPiNN) for Wireless IoT. The team will create deep neural network kernels that will replace and outperform models and iterative algorithms for four typical components in a wireless communication receiver: channel equalization, denoising, demodulation, and error correction decoding. To this end, variational autoencoders and generative adversarial networks will be used to produce realistic data to complement real data. The trained neural network kernels will be optimally compressed for FPGA implementation to meet real-time computing requirements in hardware.