Dear colleagues,
==================================================================
22nd International Conference on Content-based Multimedia Indexing, CBMI 2026
Toulouse, France, October 21-23, 2026
https://cbmi2026.sciencesconf.org/
==================================================================
After 22 successful editions across Europe, the 2026 IEEE International Conference on Content-Based Multimedia Indexing (IEEE CBMI) conference will take place in Toulouse, France, in October 2026.
IEEE CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualisation and analytics. We encourage contributions both on theoretical aspects and practical applications of IEEE CBMI. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics. In addition, special sessions on specific technical aspects or application domains are planned and calls will be issued in due course.
We encourage contributions both on theoretical aspects and practical applications of IEEE CBMI. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics. In addition, special sessions on specific technical aspects or application domains are planned and calls will be issued in due course.
Important Dates
Regular Papers & Special Session Papers
-
Paper deadline: 20 April 2026 (AoE)
-
Notification: 22 May 2026 (AoE)
-
Camera-ready: 15 June 2026 (AoE)
Demonstration Submissions
-
Submission Deadline: 27 April 2026 (AoE)
-
Notification: 29 May 2026 (AoE)
-
Camera-ready: 15 June 2026 (AoE)
Student Symposium
-
Submission Deadline: 1 June 2026 (AoE)
-
Notification: 10 June 2026 (AoE)
-
Camera-ready: 15 June 2026 (AoE)
Call for Special Sessions (see dedicated email)
CBMI aims to host special sessions during the conference. Special sessions are mini-venues, each focusing on topic within the content-based multimedia indexing field which is not directly covered by the list of topics for the conference, but which are beneficial to the community.
Special session should include four to five papers, which can be invited, or regular submissions. Special session papers will supplement the regular research papers and be included in the proceedings of CBMI 2026.
Call for Regular Papers
CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics.
The organisers of CBMI 2026 call for novel and original research papers that are addressing the various topics of interest related to the conference. We encourage contributions both on theoretical aspects and applications of CBMI in the new era of Artificial Intelligence and foundation/language-backed-backed models for multimedia for multimedia. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics.
Authors can submit full papers (6 pages + up to 2 pages for references) or short papers (4 pages + up to 2 pages references).
Submissions to CBMI are peer reviewed in a double blind process and the language of the conference is English. For full details on the submission process see the submission guidelines.
Authors of high-quality papers accepted to the conference may be invited to submit extended versions of their contributions to a special journal issue.
Call for Demonstrations
CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. We invite authors to report on novel and compelling demonstrations in all topic areas of CBMI. Demonstration papers are subject to peer review according to criteria such as novelty, interestingness, applications of or enhancements to state-of-the-art, and potential impact.
The length of the papers should be up to 4 pages. An additional 1-2 pages should be appended to the paper that illustrate how the demo will be conducted on-site at CBMI 2025. This additional content will not be published in the conference proceedings, should the submission be accepted. Including a link to a video showing the demo in action is highly encouraged. The submissions are peer-reviewed in a single-blind process. For full details on the submission process see the submission guidelines.
Presenters are expected to bring the necessary equipment (computers, etc.) themselves. The conference will provide a table, power outlet, screen, wireless (shared) internet and a poster board. If you have special needs (e.g., more space), please include a related note in your demo submission.
Topics of Interest
Topics of interest to the CBMI community include (but are not limited to) the following:
Multimedia Content Analysis and Indexing:
· Media content analysis and mining
· AI/ML approaches for content understanding
· Multimodal and cross-modal indexing
· Activity recognition and event-based multimedia indexing and retrieval
· Multimedia information retrieval (image, audio, video, text)
· Conversational search and question-answering systems
· Multimedia recommendation
· Multimodal analytics, summarization, visualization, organization and browsing of multimedia content
· Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)
· Foundation models, large multimedia models, large language models and vision language models
· Explainability in multimedia learning
· Large scale multimedia database management
· Evaluation and benchmarking of multimedia retrieval systems
Multimedia User Experiences:
· Extended reality (AR/VR/MR) interfaces
· Mobile interfaces and user interaction
· Presentation and visualization tools
· Affective adaptation and personalization
· Relevance feedback and interactive learning
Applications of Multimedia Indexing and Retrieval:
· Multimedia and sustainability
· Healthcare and medical applications
· Cultural heritage and entertainment applications
· Educational and social applications
· Egocentric, wearable and personal multimedia
· Applications to forensics, surveillance and security
· Environmental and urban multimedia applications
· Earth observation and astrophysics
· Physical and industrial processes
Looking forward to reading you !
CfP – IEEE MNC Special Session on AI-Native and Data-Driven Management for Next-Generation Networks
April 7th, 2026 
Daniela Lopez de Luise ================================================================================
CALL FOR PAPERS
Special Session: AI-Native and Data-Driven Management for Next-Generation Networks
Part of the 2026 IEEE International Symposium on Measurement in Networking and Communications
Napoli, Italy – July 13-16, 2026
https://mnc2026.ieee-ims.org/program/special-sessions#session-1-1
================================================================================
We invite the submission of original research contributions to the Special Session on AI-Native and Data-Driven Management for Next-Generation Networks, organized within the framework of the 2026 IEEE International Symposium on Measurement in Networking and Communications, held in Napoli, Italy, July 13–16, 2026.
AI-Native and Data-Driven Management is important and promising for Measurement in Networking since it will enable automatic optimization and network management. Over the years, Artificial Intelligence (AI) and Machine Learning (ML) have become increasingly pervasive in networking and communications, playing a key role in the development, deployment, and management of next-generation networks. Current research trends show how AI can enhance 5G networks at at the RAN, Edge, and Core layers, using measured data coming from multiple entities.
While AI adoption in 5G has been an evolving process, 6G is envisioned as truly AI-native. The next generation of mobile networks will embed “connected intelligence” throughout its architecture, leveraging AI for network design, optimization, and autonomous operation. In 6G, AI will not only enhance network performance but also enable and support AI-driven services running seamlessly across the entire network from the user equipment to the network core. Through this AI-native framework, the network will be capable of analyzing real-time data to jointly orchestrate functions such as scheduling, network slicing, and strategic planning.
AI technologies in fact, expand new potential in the optimization of the full end-to-end chain of the physical layer, from the transmitter to the receiver, enabling self-optimization by combining advanced sensing and data collection also introducing the capability to consider network metrics, such as current spectrum, power conditions, and number of connections, evolving because of signal reflections off buildings and weather patterns for constant re-optimization.
Monitoring of real-time environmental and contextual data is a promising enabler for ML-based air interface optimization, leading to more efficient spectrum use and reduced latency.
Not only, nowadays, AI is now further enhanced and made more interpretable through XAI methodologies, which allow us to better understand how the algorithms operate and which features are most relevant for predictions.
Topics of interest include, but are not limited to:
• Measurements for 6G, beyond-5G, and next-generation communications
• Trustworthy AI and explainable measurement approaches
• AI/ML-driven network measurement and diagnostics
• Software-defined and virtualized network measurement
• Big Data analytics for network traffic, QoS, and QoE evaluation
• Security, privacy, and reliability network measurements in 5G and 6G
***Timeline***
Paper registration: April 6, 2026
Initial manuscript deadline: April 6, 2026
***Manuscript submission information***
Authors are invited to submit a Full Paper (4-6 pages) reporting original research of a theoretical or applied nature using the online submission system, EDAS.
EDAS Submission Link: https://edas.info/N34568
Further information available: https://mnc2026.ieee-ims.org/author-information
***Special Session Chairs***
Prof. Giovanni Stanco
University of Naples Federico II, Italy
Email: giovanni.stanco@unina.it
Prof. Stefania Zinno
University of Naples Federico II, Italy
Email: stefania.zinno@unina.it
12th International Artificial Intelligence Symposium – AIS 2026, 21-24 September, Riva del Sole Resort & SPA @ Tuscany * ⏰ Submission Deadline: May 23 *
April 7th, 2026 Daniela Lopez de Luise Your expertise belongs on this program — paper submissions open.
https://ais2026.icas.events
ais@icas.cc
SATELLITE EVENT:
🎓 4th International Meeting on Foundation Models – IMFM2026
https://ais2026.icas.events/imfm2026/
PAPERS SUBMISSION:
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=ais20260
* ⏰ Paper Submission deadline: May 23 (AoE) *
CALL FOR PAPERS:
https://ais2026.icas.events/call-for-papers/
Please prepare your paper using the Springer Nature – Lecture Notes in Computer Science (LNCS) template. Papers must be submitted in PDF.
📚 TYPES OF SUBMISSIONS:
When submitting a paper to AIS 2026, authors are required to select one of the following three types of papers:
* Long Paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.
* Short Paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.
* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;
Articles/Abstracts accepted in this special session will not be published in the Conference Proceedings by Nature-Springer LNCS.
* work for poster presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference. Articles/Abstracts accepted in this special session will not be published in the Conference Proceedings by Nature-Springer LNCS.
KEYNOTE SPEAKERS: TBA
PAST KEYNOTE SPEAKERS:
https://ais2026.icas.events/past-keynote-speakers/
AIS Leonardo Fibonacci BEST PAPER AWARD:
https://ais2026.icas.events/best-paper-award/
PROGRAM COMMITTEE:
https://ais2026.icas.events/program-committee/
VENUE:
https://ais2026.icas.events/venue/
The venue of AIS 2026 will be Riva del Sole Resort & SPA @ Tuscany
AIS 2026 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed.
Riva del Sole Resort & SPA
a: Località Riva del Sole – Castiglione della Pescaia (Grosseto, CAP 58043‚ Tuscany – Italy
p: +39-0564-928111
f: +39-0564-935607
e: booking.events@rivadelsole.it
w: www.rivadelsole.it/en
ACTIVITIES:
https://ais2026.icas.events/activities/
Submit your research work today!
https://easychair.org/conferences/?conf=ais20260
See you in the beautiful Tuscany in September!
Best regards,
AIS 2026 Organizing Committee.
https://ais2026.icas.events
ais@icas.cc
Past Editions:
https://ais2026.icas.events/past-editions/
https://www.facebook.com/groups/2236577489686309/
https://twitter.com/TaoSciences
https://www.linkedin.com/groups/12092025/
AIS 2026 Poster:
https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-poster.png
Obviously, this is only a Call for Papers, to have complete and updated information we recommend you access the relevant website: https://ais2026.icas.events
ESTRATEGIAS de CAPACITACION en la ERA DIGITAL
April 7th, 2026 Daniela Lopez de Luise Si no lees correctamente este mensaje, haz clic aquí
|
|
|||||
|
|
INCLUYE UN PACK DIGITAL CON:
|
||||
|
CAPACITACIÓN ESTRATÉGICA: |
|||||
|
Los programas formativos avanzados, basados en soluciones tecnológicas, habilidades blandas o aprendizaje de procedimientos específicos, estimulan y facilitan el crecimiento corporativo y personal, permiten establecer conexiones La capacitación efectiva y permanente ya no es una opción, es un requisito de competitividad para las organizaciones. Las organizaciones requieren recursos humanos productivos, con alto desempeño laboral y motivados. Es decir, necesitan Este seminario taller le dará a conocer en detalle, cómo implementar un Plan de Capacitación de los Recursos Humanos, moderno, efectivo y medible.
|
|||||
|
OBJETIVOS:
METODOLOGÍA:
|
|||||
EXPOSITORA:
MAG. STEFANIE AGUILAR MÁLAGA
Founder & CEO de Lidero Consulting. Gestor, docente, consultor, coach ejecutivo y auditor de Gestión Humana con una trayectoria de más de 13 años liderando procesos de RRHH en los sectores más importantes de la economía peruana. En la actualidad, me desempeño como Docente de Post Grado en la Maestría de Dirección de RRHH y Gestión del Talento de la Universitat de Barcelona, la Universidad de San Martín de Porres y de CIDE – PUCP, así como Coordinador Académico de la Universidad Continental.
Magister en Dirección de RRHH y Gestión del Talento por la Universitat de Barcelona – España, Coach Neurolinguistico de la International Coaching Institutes de Alemania, Especialista en Habilidades Directivas por la Fundación Universitaria Iberoamericana y Gestor de Recursos Humanos por la USMP Perú. Su misión profesional es contribuir al bienestar y desarrollo de las personas a través de estrategias de Gestión Humana.
|
|||||
 |
|
|
|
CFP: AIxNET 2026, International Conference on Interconnected AI and NETworks 2026
April 6th, 2026 Daniela Lopez de Luise ***************************************************************************
Call for Papers
AIxNET 2026:
International Conference
on Interconnected AI and NETworks 2026
Nov. 23-25, 2026 – Paris, France
On-site event
***************************************************************************
*** Paper submission deadline: June 20, 2026 ***
Networks are entering an era where both classical ML and emerging generative and agentic AI are transforming end-to-end networking—from intent capture to closed-loop control across RAN, Core, transport, and edge/cloud. AIxNET welcomes contributions that advance algorithms, architectures, protocols, evaluations, and safeguards for trustworthy, explainable, and safe-to-operate AI-driven networking. We particularly encourage rigorous comparative studies across control layers (SMO/intent vs near-RT vs lower-layer control), and the release of open datasets and artifacts to help the community build together.
AIxNET is intending to build a stimulating, open, dynamic, and friendly forum to co-create the future and spark collaborations across teams. The conference will be a unique opportunity to gather academic and industry research on this crucial topic for 2030 networks. Expect interactive sessions, demos, and time for discussion.
Main Topics of Interest include (but are not limited to)
-
Agentic AI: from Human Intent to Action Autonomy
-
Networked “xLM” challenges: Intent capture/parsing/policy synthesis at SMO and service layers, use of Large, Small or Machine Language Models (LLM, SLM, MLM)
-
Hierarchical/heterogeneous agents spanning non-RT and near-RT control (e.g., O-RAN RIC), Core CNFs, and edge resources
-
Agentic 6G functions
-
Interconnection and collaboration between AI agents
-
Tool and protocols for network-facing agents (e.g., MCP-enabled clients/servers), conflict resolution, safe rollbacks
-
New paradigms for networking: from Classical ML to xLM-based Control at Scale
-
Supervised/unsupervised/self-supervised learning for prediction, anomaly detection, resource allocation, QoE optimization
-
ML and LLM techniques for scheduling, slicing, mobility, energy saving; cross-domain orchestration across RAN/Core/transport for B5G and 6G
-
Programmable data planes (P4/eBPF) and SDN control plane with ML-in-the-loop; NWDAF-enabled analytics
-
Challenges for access networks and edge networking, use of alternative models, SLM, TRM
-
Architecture and framework for agentic AI networking
-
Data collection and labeling
-
Comparative Designs Across Layers: SMO/Intent vs Near-RT vs Lower-Layer Control
-
Side-by-side evaluations of top-down (intent-driven) vs bottom-up (local) autonomy
-
Responsibility split across SMO policies, RIC xApps/rApps, Core functions, device/edge controllers
-
Stability, latency and safety; arbitration under competing objectives (QoE, energy, cost, SLAs)
-
Cross-layer observability, auditability, and explainability methodologies
-
Explainability and trustworthiness: Bias and Functional Safety
-
Human in the loop supervision and autonomy levels for safe operations
-
Explainability for operator oversight (pre/post methods, rationales, provenance, accountability logs)
-
Security and governance for AI-operated changes (access control, authorization, verification, compliance-by-design)
-
Possible Bias sources and mitigation (data, prompts, tools, policies); fairness in resource allocation and service admission
-
Trust, safety and ethical considerations in generative and agentic AI networking
-
Evaluation, Benchmarks, Open Datasets, and experimentations
-
Public datasets/benchmarks for RAN/Core/transport/edge; simulated vs real testbeds
-
Evaluation methodology and built of meaningful KPIs (e.g., relying on MTTR, SLO, energy–QoE trade-offs…)
-
Network performance metric in generative and agentic AI communication systems
-
Digital twins, experimentation platforms, and testbeds for generative and agentic AI networking
-
Reproducible pipelines, artifact sharing, and insightful negative results, robustness to drift
-
Sustainability and cost modeling (e.g., compute budgets, edge vs cloud placement)
Submission types and guidelines
Authors are invited to submit original contributions that have not been published or submitted for publication elsewhere. Papers should be prepared using the IEEE 2-column conference style and are limited to 8 pages including references for regular papers, 5 pages including references for short papers and 2-4 pages for Demos/Positions. Papers must be submitted electronically in PDF format through EDAS at: https://edas.info/N35032
Open artifacts are encouraged: release code/data/measurement scripts when possible; otherwise provide high-fidelity synthetic surrogates or detailed reproduction recipes. Comparative studies must clearly state the targeted control layer(s) and report stability/latency/safety metrics alongside performance.
For accepted papers to be included on AIxNEt 2026 proceedings, at least one author must register at the Author rate and papers must be presented in-person at the conference by a registered co-author.
Important dates
-
Paper submission deadline: June 20, 2026
-
Paper Acceptance Notification: September 15, 2026
-
Camera-ready: October 5, 2026
-
Conference Date: November 23-25, 2026
*** TPC Co-Chairs ***
Sahar Hoteit (Paris-Saclay University, France)
Chiara Contoli (University of Urbino, Italy)
*** General Co-Chairs ***
Stefano Secci (CNAM, France)
Emmanuel Bertin(Orange Innovation, France)
***************************************************************************
For more info, please refer to the conference website: https://aixnet.dnac.org/