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Excellence in Edge Artificial Intelligence In Conjunction with ACM MobiSys 2026

25 June 2026 – William Gates Building, University of Cambridge, UK

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Workshop website: https://excelai2026.short.gy      

The convergence of AI and edge computing represents a new era of technological advances, where the immediacy of data processing and the sophistication of AI algorithms lead to new products and services. Industries are rapidly adopting edge AI applications to streamline costs, automate complex processes, enhance decision-making capabilities, and refine operational efficiency. These applications are not just theoretical constructs; they are real-world solutions that are reshaping industries.

This workshop is dedicated to exploring the frontiers of the AI and edge computing synergy, focusing on the development of scalable and robust AI systems. The workshop is organized and supported by the dAIEdge European Network of Excellence on AI at the Edge. In order to make the workshop more interactive and lively, there will be a demo session. In the latter, participants will be able to show live demos, either on-site or with a video, of their latest research results. Participants in any session will be automatically invited to participate in and benefit from dAIEdge’s network of excellence. There will be a best paper award.

Topics of interest include (but are not limited to):

•             Edge AI-based applications, use cases, products and services

•             Edge AI tools and methodologies

•             Computer vision: image classification, object detection, semantic segmentation, etc.

•             Edge AI natural language processing, speech recognition and synthesis

•             Energy optimization for edge AI devices

•             Reconfigurable edge AI

•             Optimization and approximation methods and techniques for edge neural networks

•             Multimodal learning for edge AI

•             Federated learning

•             Edge AI accelerators and HW (GPUs, NPUs, TPUs, ASICs, FPGAs, RISC-V, etc.)

•             Edge AI hardware-software co-design methods and tools

•             Neuromorphic HW Architectures

•             Smart connectivity at the edge

•             Edge AI for immersive technologies (XR/VR/AR/MR, metaverse/omniverse/multiverse)

•             Simulation and analysis techniques for edge AI

•             Generative edge AI

•             Transformers at the edge: data, hardware, and software engineering challenges

•             Trustworthy edge AI (security, privacy, reliability, explainability, interpretability, etc.)

•             Edge AI verification, validation and testing

•             Benchmarking edge AI models

•             Edge AI in Space (satellites, Earth observation, etc.)

•             Ethical implications of edge AI

Important dates:

Submission deadline: 15 March 2026 22 March 2026

Acceptance notification: 23 April 2026

Camera ready: 30 April 2026

Workshop date: 25 June 2026

Submissions:

Papers will be reviewed by the workshop's technical program committee according to criteria regarding a submission's quality, relevance to the workshop's topics, and, foremost, its potential to spark discussions about directions, insights, and solutions on the topics mentioned above. Research papers, case studies, position papers and work-in-progress are all welcome.

 Papers should be formatted for 8.5×11-inch paper. The length of the paper must be no more than 6 pages in the ACM double-column format (10-pt font), excluding references and appendices. Authors are suggested to use the ACM Master article template,  with the \documentclass[sigconf,10pt]{acmart} option.  Papers should be uploaded as PDF and not anonymized (review is single blind). At least one of the authors must register at the conference and attend the workshop to present the paper if it is accepted. Accepted papers will be published in the ACM Digital Library. There will be a best paper award with diploma and 300€ (the latter will only be awarded if the authors of the best paper are not part of the dAIEdge Consortium). The selection of the best paper will be made by the PC and the decision will be irrevocable.

Click here to access the submission site

Call for demos:

Demos will be either on-site, remote via Teams or similar, or through a pre-recorded video (with voiceover). Demo proposers do not need to submit a paper to the workshop. The demo should be, in any case, related to the topics of the workshop, and should not last more than 20 minutes.

If the number of demos submitted is too high the program committee will make a selection, prioritizing on-site demos.

To propose a demo, please fill out the form in the workshop website.

Organizers:

German Research Center for Artificial Intelligence (DFKI), Germany Sorbonne University, France The University of Edinburgh, United Kingdom University of Glasgow, United Kingdom Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA), France Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e. V., Germany Institut National de Recherche en Informatique et en Automatique (INRIA), France Eidgenoessische Technische Hochschule Zuerich (ETHZ), Switzerland STMicroelectronics SRL, Italy Thales SIX GTS France SAS, France Blekinge Tekniska Hogskola (BTH), Sweden Centre d'Excellence en Technologies de l'Information et de la Communication (CETIC), Belgium Deutsche Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany Safran Electronics & Defense, France FundingBox Accelerator Sp. z o.o., Poland Idryma Technologias Kai Erevnas (FORTH), Greece Hipert Slr, Italy Interuniversitair Micro-Electronica Centrum (IMEC), Belgium Sofia University St Kliment Ohridski, Bulgaria Fundación Instituto Internacional de Investigación en Inteligencia Artificial y Ciencias de la Computación, Spain Katholieke Universiteit Leuven (KUL), Belgium SINTEF AS, Norway Synopsys International Ltd, Ireland Ubotica Technologies Ltd, Ireland University of Castilla-La Mancha (UCLM), Spain Università degli Studi di Modena e Reggio Emilia (UNIMORE), Italy University of Salamanca (USAL), Spain Varjo Technologies Oy, Finland VERSES Global BV, Netherlands Vicomtech, Spain Aegis Rider AG, Switzerland Centre suisse d'électronique et de microtechnique (CSEM), Switzerland Haute école spécialisée de Suisse occidentale (HE-SO), Switzerland