Search papers, labs, and topics across Lattice.
This work was supported by Hong Kong Research Grants Council through the Areas of Excellence (AoE) Scheme under Grant AoE/E-601/22-R and NSFC under Grant No. 62372442. (Corresponding author: C. Patrick Yue
1
0
3
KANs can run 1.25x faster and 4.87x more energy-efficiently than edge GPUs, thanks to a new reconfigurable accelerator that handles both KANs and MLPs.
