News

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19/02/2025

dAIEDGE 2 Open Call - Prepare a winning proposal with our webinar!

Our second webinar will take place on Wednesday 27 February at 11:00 AM CET.

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17/02/2025

dAIEDGE will take part this week in FITECU

This event represents a unique opportunity to share knowledge, explore technological innovations and establish strategic connections in the field of innovation and technology.

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14/02/2025

dAIEDGE at the UK National Edge AI Hub

Our representative, Jean-Marc Bonnefous (BCA Bonseyes), had the opportunity to connect with Edge AI experts and explore possible collaborations with this British project.

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13/02/2025

Future - Ready: On-Demand Solutions with AI, Data, and Robotics

The event organised by ADRA and AI on Demand will serve as a key space for presenting results, discussing current challenges and creating synergies between projects.

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08/02/2025

Special Session on dAIEDGE: Trustworthy, Regulated, and Efficient AI on the Edge (TRUST-E)

This Special Session focuses on advancing Artificial Intelligence at the edge by exploring theoretical, practical, and interdisciplinary perspectives.

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07/02/2025

Want to know how to send us the best possible proposal to apply for our Open Calls?

The second dAIEDGE Open Calls are now open and In this new edition, we have launched 20 industry challenges looking for innovative solutions to drive the next generation of Edge AI. Discover it here!

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05/02/2025

Partner Highlight: 2nd Place Best Paper Award at IEEE/ACM UCC 2023

In the paper "FedBed: Benchmarking Federated Learning over Virtualized Edge Testbeds" the researchers introduce FedBed, an innovative testing framework that facilitates benchmarking of FL deployments in virtualised environments.

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03/02/2025

dAIEDGE’s impact in January 2025!

January has come to an end, and at dAIEDGE, we are celebrating a month filled with activities and achievements, alongside the launch of our second Open Call. This milestone reaffirms our commitment to driving AI innovation across Europe.

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29/01/2025

Interview with Mhd Rashed on dAIEDGE use cases

Within the framework of the dAIEDGE project, research in computer vision and deep learning is reaching high levels of efficiency thanks to the work of Mhd Rashed Al Koutayni, researcher at DFKI Kaiserslautern.

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