Two Cannistraci team papers accepted at NeurIPS 2026
Two poster papers explore hardware-friendly semi-structured sparse training and channel-wise dynamic sparsity for convolutional networks.
Read the storyResearch, collaboration and company updates from SparseMind.
Two poster papers explore hardware-friendly semi-structured sparse training and channel-wise dynamic sparsity for convolutional networks.
Read the storyCHT and Moffett achieve up to 2.89× execution speedup in a same-platform compiler evaluation of a 7B model.
Read the storyStudying network connectivity and efficiency across models and hardware.
Read the storySupporting research exchange in network science and AI.
Read the storyContact us about research or collaboration.