Weightless Neural Networks for Efficient Edge Inference

no code implementations • 3 Mar 2022 • Zachary Susskind, Aman Arora, Igor Dantas Dos Santos Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araujo, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvao Franca, Mauricio Breternitz Jr., Lizy K. John

We then demonstrate the viability of the BTHOWeN architecture by presenting an FPGA-based accelerator, and compare its latency and resource usage against similarly accurate quantized DNN accelerators, including Multi-Layer Perceptron (MLP) and convolutional models.

Edge-computing

Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN)

no code implementations • 11 Aug 2019 • Vanderson M. do Rosario, Mauricio Breternitz Jr., Edson Borin

Lanes are paths in the network which are data-independent and typically learn different features or add resilience to the network.