Project NireHaps showcased a groundbreaking Spiking-Convolutional Neural Network (SC-NN) model for image inpainting at the Northern Lights Deep Learning Conference 2024.
By combining Spiking Neural Networks (SNNs) and Convolutional Neural Networks (CNNs), they achieved state-of-the-art results in generating high-quality inpainted images. This work was not only recognized as the best research outcome, but Sanaullah was also nominated as the best presenter. Congratulations!

For more information, check out this post on LinkedIn, or dive right into the paper:

Sanaullah, S., Roy, K., Rückert, U., and Jungeblut. T. (2024, January). A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. In Northern Lights Deep Learning Conference (pp. 220-227). PMLR. Link to paper.