RETRACTED ARTICLE: An energy-efficient voice activity detector using reconfigurable Gaussian base normalization deep neural network
This research paper proposed deep neural networks and approximation computation are
used to create an energy-efficient voice activity detector (VDA). The proposed technique is …
used to create an energy-efficient voice activity detector (VDA). The proposed technique is …
Autonomous driving of a rover-like robot using neuromorphic computing
E Piñero-Fuentes, S Canas-Moreno… - … Work-Conference on …, 2021 - Springer
Autonomous driving solutions are based on artificial vision and machine learning for
understanding the environment and facilitate decision making tasks. Similar techniques are …
understanding the environment and facilitate decision making tasks. Similar techniques are …
A Reconfigurable Gaussian Base Normalization Deep Neural Network Design for an Energy-Efficient Voice Activity Detector
Deep neural networks and approximation computation are offered in this research report to
construct an energy-efficient voice activity detector. A potential energy-efficient adaptive …
construct an energy-efficient voice activity detector. A potential energy-efficient adaptive …
Advanced ai hardware designs based on FPGAs
JY Kim - Electronics, 2021 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) technology enable computers to run
cognitive tasks such as recognition, understanding, and reasoning, which are believed to be …
cognitive tasks such as recognition, understanding, and reasoning, which are believed to be …