Presentations

Ultra-low-power neuromorphic vision and sensory processing for edge devices

Dylan Muir

17.01.2023

HIPEAC 2023, Milan, Italy

Link to document

Automotive Intelligence - Edge AI, Hardware and Software Integration

Ovidiu Vermesan

24.01.2023

EUCAR Workshop – Driving the Digital Transformation in Road Transport, Brussels, Belgium

Link to document

EdgeAI Project Presentation

Ovidiu Vermesan

21.02.2023

EdgeAI Kick-Off, Catania, Italy

Link to document

Edge AI trends and engineering principles applied to micro, meta, and end-to-end AI system verification, validation, and testing.

Ovidiu Vermesan

17.01.2024

HiPEAC 2024

Link to document

Comparing implementations of a Small CNN on Commodity Hardware

Ana Pinzari, Thomas Baumela, Liliana Andrade, Frédéric Pétrot

17.01.2024

HiPEAC 2024

Link to document

At-the-edge AI acceleration on FPGAs, from CNNs to SNNs

Paolo Meloni

17.01.2024

HiPEAC 2024

Link to document

Features Disentanglement for Explainable Convolutional Neural Networks

Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri

27 – 30 October 2024

IEEE International Conference on Image Processing (ICIP 2024)

Link to document

Pioneering the Future of Edge AI

Ovidiu Vermesan

21-23 October 2024

European Conference on EDGE AI Technologies and Applications (EEAI 2024)

Link to document

Functional and Non-Functional Requirements in Edge Ai Systems

Ovidiu Vermesan, Alain Pagani

21-23 October 2024

European Conference on EDGE AI Technologies and Applications (EEAI 2024)

Link to document

EdgeAI: Leveraging SNNs, Transformers, and Autoencoders for Near-Sensors Intelligence

Paola Busia, Gianluca Leone, Luca Martis, Matteo Antonio Scrugli, Paolo Meloni

21-23 October 2024

European Conference on EDGE AI Technologies and Applications (EEAI 2024)

Link to document

Human activity recognition in time series in PIR sensor networks with reinforcement learning

Fetze Pijlman

14 November 2024

IEEE Sustainable Smart Lighting Conference

Link to document

Revolutionising Intelligence Edge AI Anywhere, Anytime

Ovidiu Vermesan, Giulio Urlini

5-6 December 2024

EFECS (EFECS 2024)

Link to document

Edge AI Systems Functional and Non-Functional Requirements Engineering. Generative AI Future Trends and Concepts

Ovidiu Vermesan

20-23 January 2025

HiPEAC (HiPEAC 2025)

Link to document

Model Selection and Prompting Strategies in Resource Constrained Environments for LLM-based robotic system

Toms Eduards Zinars, Oskars Vismanis, Peteris Racinskis, Janis Arents, Modris Greitan

21-23 October 2024

European Conference on EDGE AI Technologies and Applications (EEAI2024)

Link to document

Multi-Step Object Re-Identification on Edge Devices: A Pipeline for Vehicle Re-Identification

Tomass Zutis, Pēteris Račinskis, Anželika Bureka, Jānis Judvaitis, Jānis Ārents, Modris Greitāns

21-23 October 2024

European Conference on EDGE AI Technologies and Applications (EEAI2024)

Link to document

Adversarial Defect Synthesis for Industrial Products in Low Data Regime

Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri

8-11 October 2023

IEEE International Conference on Image Processing (ICIP 2023)

Link to document

Tree-based Optimization for Image-to-Image Translation with Imbalanced Datasets on the Edge

Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Francesco Rundo, Fabio Scotti

12 June 2023

EEE Int. Conf. on Computational Intelligence & Virtual Environments for Measurement Systems and Applications

Link to document

Applications and Limits of Image-to-Image Translation Models

Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri

11-13 June 2023

24th International Conference on Digital Signal Processing (DSP)

Link to document

Tiny Transformers for Online Processing of Sensor Data Streams on Low Power MCUs

Paola Busia

17-19 October 2023

European Conference on EDGE AI Technologies and Applications 2023 (EEAI 2023)

Link to document

Edge-oriented distributed architecture based on Road-Side-Perception-Units (RSPUs) to support a Federated Learning approach for urban air quality predictions

George Bravos

21-23 October 2024

European Conference on EDGE AI Technologies and Applications (EEAI 2024)

Link to document

SYNtzulu: a Tiny Risk-V-Controlled SNN Processor for Real-Time Sensor Data Analysis on Low-Power FPGA's

Gianluca Leone, Paola Busia, Matteo A. Scrugli, Luca Martis, Paolo Meloni

21-23 October 2024

European Conference on EDGE AI Technologies and Applications 2023 (EEAI 2023)

Link to document

Enabling near sensor AI with Low-Power processing: An Open-Hardware experience

Martis Luca

21-23 October 2024

European Conference on EDGE AI Technologies and Applications (EEAI 2024)

Link to document

Low-PowerNear-Sensor Intelligence: Advancing Micro-Edge Computing BeyondCNNs

Paolo Meloni

20-23 January 2025

High Performance Embedded Architecture and Compilers (HiPEAC 2025)

Link to document

Presentations

Ultra-low-power neuromorphic vision and sensory processing for edge devices

Automotive Intelligence - Edge AI, Hardware and Software Integration

EdgeAI Project Presentation

Edge AI trends and engineering principles applied to micro, meta, and end-to-end AI system verification, validation, and testing.

Comparing implementations of a Small CNN on Commodity Hardware

At-the-edge AI acceleration on FPGAs, from CNNs to SNNs

Features Disentanglement for Explainable Convolutional Neural Networks

Pioneering the Future of Edge AI

Functional and Non-Functional Requirements in Edge Ai Systems

EdgeAI: Leveraging SNNs, Transformers, and Autoencoders for Near-Sensors Intelligence

Human activity recognition in time series in PIR sensor networks with reinforcement learning

Revolutionising Intelligence Edge AI Anywhere, Anytime

Edge AI Systems Functional and Non-Functional Requirements Engineering. Generative AI Future Trends and Concepts

Model Selection and Prompting Strategies in Resource Constrained Environments for LLM-based robotic system

Multi-Step Object Re-Identification on Edge Devices: A Pipeline for Vehicle Re-Identification

Adversarial Defect Synthesis for Industrial Products in Low Data Regime

Tree-based Optimization for Image-to-Image Translation with Imbalanced Datasets on the Edge

Applications and Limits of Image-to-Image Translation Models

Tiny Transformers for Online Processing of Sensor Data Streams on Low Power MCUs

Edge-oriented distributed architecture based on Road-Side-Perception-Units (RSPUs) to support a Federated Learning approach for urban air quality predictions

SYNtzulu: a Tiny Risk-V-Controlled SNN Processor for Real-Time Sensor Data Analysis on Low-Power FPGA's

Enabling near sensor AI with Low-Power processing: An Open-Hardware experience

Low-PowerNear-Sensor Intelligence: Advancing Micro-Edge Computing BeyondCNNs

Conferences

Journals & books

Presentations

Academic theses

Acknowledgement

The project EdgeAI “Edge AI Technologies for Optimised Performance Embedded Processing” is supported by the Chips Joint Undertaking and its members including top-up funding by Austria, Belgium, France, Greece, Italy, Latvia, Netherlands, and Norway under grant agreement No 101097300.

Disclaimer

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Chips Joint Undertaking. Neither the European Union nor the granting authority can be held responsible for them.

Acknowledgement

The project EdgeAI “Edge AI Technologies for Optimised Performance Embedded Processing” is supported by the Chips Joint Undertaking and its members including top-up funding by Austria, Belgium, France, Greece, Italy, Latvia, Netherlands, and Norway under grant agreement No 101097300.

Disclaimer

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Chips Joint Undertaking. Neither the European Union nor the granting authority can be held responsible for them.