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04/25/2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Reducing the memory footprint of Machine Learning (ML) models, particula...
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02/27/2021
Characterization of Neural Networks Automatically Mapped on Automotive-grade Microcontrollers
Nowadays, Neural Networks represent a major expectation for the realizat...
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03/10/2020
Benchmarking TinyML Systems: Challenges and Direction
Recent advancements in ultra-low-power machine learning (TinyML) hardwar...
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09/08/2016
Reduced Memory Region Based Deep Convolutional Neural Network Detection
Accurate pedestrian detection has a primary role in automotive safety: f...
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03/28/2015