Deployment of artificial intelligence models on edge devices: A tutorial brief

M Żyliński, A Nassibi, I Rakhmatulin… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) on an edge device has enormous potential, including advanced
signal filtering, event detection, optimization in communications and data compression …

Towards unlocking the hidden potentials of the data-centric AI paradigm in the modern era

A Majeed, SO Hwang - Applied System Innovation, 2024 - mdpi.com
Data-centric artificial intelligence (DC-AI) is a modern paradigm that gives more priority to
data quality enhancement, rather than only optimizing the complex codes of AI models. The …

Autoencoder-based image denoiser suitable for image of numbers with high potential for hardware implementation

NE Elashkar, M Maghraby - Journal of Advanced Research in …, 2025 - semarakilmu.com.my
The algorithms for processing images and videos are currently essential for many
applications. Many of these applications are specified for processing and analyzing images …

Hardware-Software Codesign of Silicon Photonic AI Accelerators

FP Sunny - 2024 - search.proquest.com
Abstract Machine learning applications have become increasingly prevalent over the past
decade across many real-world use cases, from smart consumer electronics to automotive …

Deployment of Artificial Intelligence Models into Edge Devices: A Tutorial Brief

M Zylinski, A Nassibi, I Rakhmatulin, A Malik… - Authorea …, 2023 - techrxiv.org
Artificial intelligence (AI) on an edge device has enormous potential, including advanced
signal filtering, event detection, optimization in communications and data compression …

[PDF][PDF] Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

A Guerin, C Papadopoulos - 2023 - lup.lub.lu.se
Abstract Machine learning algorithms are experiencing unprecedented attention, but their
inherent computational complexity leads to high energy consumption. However, a paradigm …