Impact of ML optimization tactics on greener pre-trained ML models
AG Álvarez, J Castaño, X Franch… - ar** Review on Quantization Methods for Medical Imaging AI
Deep neural networks with state-of-the-art (SOTA) performance on medical imaging
datasets such as Medical Resonance Imaging (MRI), Ultrasound (US), and Computed …
datasets such as Medical Resonance Imaging (MRI), Ultrasound (US), and Computed …
Exploiting neural networks bit-level redundancy to mitigate the impact of faults at inference
Neural networks are widely used in critical environments such as healthcare, autonomous
vehicles, or video surveillance. To ensure the safety of the systems that rely on their …
vehicles, or video surveillance. To ensure the safety of the systems that rely on their …
Towards Efficient Neural Network Model Parallelism on Multi-FPGA Platforms
DR Agut, R Tornero, J Flich - … & Test in Europe Conference & …, 2023 - ieeexplore.ieee.org
Nowadays, convolutional neural networks (CNN) are common in a wide range of
applications. Their high accuracy and efficiency contrast with their computing requirements …
applications. Their high accuracy and efficiency contrast with their computing requirements …
A round-trip journey in pruned artificial neural networks
In the last decade, deep learning models competed for performance at the price of
tremendous computational costs. Such a critical aspect recently attracted more attention for …
tremendous computational costs. Such a critical aspect recently attracted more attention for …
[PDF][PDF] Exploring the Design and Implementation of Pruning Techniques for Deep Neural Networks
A Bragagnolo - 2023 - iris.unito.it
Deep neural networks have become one of the go-to tools to achieve state-of-the-art
performance for various tasks, such as computer vision, speech recognition, and many …
performance for various tasks, such as computer vision, speech recognition, and many …
[CITAS][C] HPC Platform for Railway Safety-Critical Functionalities Based on Artificial Intelligence
M Labayen Esnaola, L Medina, F Eizaguirre, J Flich… - 2023 - MDPI