Elenco Pubblicazioni - Publications (1660)
M. Baldaccini, T. Bocchi, L. Ciacchini at al., “From Residual-Layer Support to ResNet-like Deployment in the FPG-AI Framework”, 2026 International Conference on Applications in Electronics Pervading Industry, Environment and Society (APPLEPIES), 2026
Written by TOMMASO BOCCHI
Abstract: Convolutional neural networks (CNNs) are widely used for visual recognition tasks, including image classification, object detection, medical imaging, and remote sensing. Their deployment on edge devices increasingly relies on FPGAs, which offer high parallelism and…
A. Monorchio, T. Bocchi, T. Pacini, P. Nannipieri, and L. Fanucci, “FPG-AI: Automation Toolflow for Efficient Deployment of Pre-Trained CNN/RNN Models on FPGA Technology”
Written by ANDREA MONORCHIO
Poster presented at: Twenty-first International Summer School on Advanced Computer Architecture and Compilation for High-performance Embedded Systems (ACACES), Fiuggi (FR), Italy, July 2025, pp. 13-16 ISBN: 9789078427070.
T. Bocchi et al., "Pioneering AI Acceleration on European Space Qualified Hardware: Implementation and Characterization of a DNN on NanoXplore FPGA," in IEEE Aerospace and Electronic Systems Magazine,2026.
Written by TOMMASO BOCCHI
Abstract: This article presents a practical design case study describing the first successful implementation of an artificial intelligence (AI) algorithm on a NanoXplore radiation-hardened field programmable gate array (FPGA), the first fully European solution for…
A. Monorchio, T. Bocchi, P. Nannipieri, and L. Fanucci, "Design and Implementation of a RISC-V-based FPGA SoC for CNN Acceleration Using the FPG-AI Framework", 2026 21st Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), 2026
Written by ANDREA MONORCHIO
Abstract: Field Programmable Gate Arrays have emerged as an effective solution for deploying Neural Networks thanks to their energy efficiency and reconfigurability, particularly for on the edge Convolutional Neural Network applications with strict constraints on…
L. Zulberti, M. Monopoli, G. Mystkowska, A. Monorchio, S. Moranti, L. Fanucci, and P. Nannipieri, "CGR-AI Engine: A Scalable CGRA-based Processing Platform for Artificial Intelligence in Space Applications", Microprocessors and Microsystems, vol. 122
Written by ANDREA MONORCHIO
Abstract: The execution of processing tasks in space is a cornerstone of modern space missions, enabling a wide range of critical applications. In recent years, the integration of Artificial Intelligence (AI) within the space industry…
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- Prof. Matteo Bianchi, Department of Information Engineering, University of Pisa, "Tactile Sensors for Robotics and Advanced Human Machine Interaction", 14,16,17,18 September 2026
- Prof. Daniele Inserra, University of Electronic Science and Technology of China - China, "Battery-free intelligent systems: RFID, wireless power, and smart sensing", 27-29 July 2026
- Prof. Bhavani Shankar MYSORE, University of Luxembourg, "Signal Processing for Joint Radar Communications", 13-16 July 2026
- Prof. Matteo Bianchi, Department of Information Engineering, University of Pisa, "Bilateral Telerobotics: Challenges, Perspectives and Applications", 27-30 July 2026
- Prof. Jian-Nong Cao, Hong Kong Polytechnic University, "Collaborative Edge AI and Applications", 6-10 July 2026
