Hardware for Machine Learning: Challenges and Opportunities

Hardware for Machine Learning: Challenges and Opportunities

22 December 2016

Amr Suleiman

Zhengdong Zhang

Papers citing "Hardware for Machine Learning: Challenges and Opportunities"

5 / 5 papers shown

Title
Can a virtual conductor create its own interpretation of a music orchestra? Marcus Funk Nassim Chloe Eghtebas 14 0 0 17 Apr 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs A. M. Ribeiro-dos-Santos João Dinis Ferreira O. Mutlu G. Falcão MQ 18 1 0 15 Jan 2023
An IoT Cloud and Big Data Architecture for the Maintenance of Home Appliances P. Chaves Tiago Fonseca Luis Lino Ferreira Bernardo Cabral Orlando Sousa André Oliveira J. Landeck 14 3 0 25 Oct 2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions Lingjiao Chen Zhihua Jin Sabri Eyuboglu Christopher Ré Matei A. Zaharia James Zou 48 9 0 18 Sep 2022
Binary classification of proteins by a Machine Learning approach Damiano Perri Marco Simonetti A. Lombardi N. F. Lago O. Gervasi 17 14 0 03 Nov 2021