Excellence in Edge Artificial Intelligence
Oscar Deniz
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Excellence in Edge Artificial Intelligence
In Conjunction with ACM MobiSys 2026
25 June 2026 - William Gates Building, 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
- Ethical implications of edge AI
Important dates:
Submission deadline: 15 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 8.5x11-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 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 30 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 this form.
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