Smart Computing Frontier (SCF 2026)
International Conference on AI and Multimodal Services (AIMS 2026)
https://www.servicessociety.org/aims , August 22 - 25, 2026, Kuala Lumpur, Malaysia
Theme: Agentic AI as a Service (AAIaaS) for Multimodal Services
Building Multimodal Intelligence into Agentic Services
Introduction
The International Conference on AI and Multimodal Services (AIMS) is an international forum for advancing artificial intelligence, multimodal learning, content generation, human–AI interaction, and the delivery of AI capabilities as services.
The evolution from the International Conference on AI and Mobile Services to the International Conference on AI and Multimodal Services reflects a fundamental change in digital intelligence. Modern AI systems increasingly integrate text, images, speech, audio, video, sensor signals, and other forms of information rather than operating within a single modality or interaction channel.
AIMS studies how AI systems can understand, align, generate, retrieve, and reason across these modalities, and how such capabilities can be developed, evaluated, delivered, and managed as dependable services.
AIMS 2026 welcomes original research, system innovations, empirical studies, datasets, benchmarks, tools, user studies, and evidence-based applications that advance AI and multimodal services.
AIMS 2026 Theme
The theme of AIMS 2026 is:
Agentic AI as a Service for Multimodal Services
Multimodal foundation models have enabled AI systems to process and generate combinations of language, images, audio, video, and other forms of information. Agentic AI extends these capabilities by enabling systems to interpret goals, formulate plans, maintain memory, invoke tools, coordinate with other agents, and perform multi-step tasks.
For the AIMS community, the central question is:
How can multimodal AI capabilities be developed and delivered as agentic services that perceive, reason, generate, interact, and act across modalities?
Multimodal Agentic AI moves intelligent services:
From single-modality processing to cross-modal understanding
From content generation to perception, reasoning, and action
From prompt–response interaction to persistent multimodal agents
From isolated models to coordinated AI-service ecosystems
From passive interfaces to adaptive human–agent interaction
From benchmark performance to trustworthy real-world outcomes
Agentic multimodal services may interpret a spoken request, examine images or video, retrieve relevant knowledge, generate a plan, invoke specialized models and tools, and communicate the result through the most appropriate modality.
Realizing this vision requires advances in multimodal representation, alignment, grounding, reasoning, generation, model coordination, service composition, evaluation, safety, privacy, provenance, and human oversight.
AIMS 2026 invites researchers and practitioners to develop the AI foundations and multimodal capabilities needed for trustworthy and useful Agentic AI as a Service.
Scope and Topics of Interest
AIMS focuses on artificial intelligence models and methods, multimodal understanding and generation, cross-modal interaction, and the delivery of AI capabilities as services.
Research whose primary contribution concerns cloud infrastructure, general service engineering, Web protocols, large-scale data systems, edge platforms, IoT infrastructure, cognitive architectures, or blockchain should be submitted to the corresponding SCF conference unless it makes a clear contribution to AI or multimodal services.
Topics include, but are not limited to:
1. Multimodal Models and Learning
Multimodal foundation and large language models
Vision–language, audio–language, and video–language models
Multimodal representation, fusion, alignment, and grounding
Cross-modal retrieval, translation, and knowledge transfer
Multimodal reasoning and structured prediction
Efficient adaptation and personalization of multimodal models
2. Agentic Multimodal Intelligence
Multimodal agents and agentic AI services
Perception–reasoning–action integration
Multimodal planning, memory, reflection, and tool use
Multi-agent collaboration across modalities
Conversational and interactive multimodal agents
Evaluation and benchmarking of multimodal agentic systems
3. Multimodal Generation and Content Services
Text, image, audio, music, video, and 3D generation
Cross-modal and controllable content generation
Multimodal content editing, adaptation, and personalization
Consistent and long-form multimedia generation
Synthetic data generation and augmentation
AI-assisted creative and professional content production
4. Multimodal Service Engineering and Delivery
AI Model as a Service and multimodal AI services
Composition and orchestration of multimodal capabilities
Retrieval-augmented and knowledge-grounded multimodal services
Model routing, selection, collaboration, and cascading
Monitoring and evaluation of deployed AI services
Multimodal service lifecycle and continuous improvement
5. Trustworthy and Human-Centered Multimodal AI
Robustness, reliability, and uncertainty in multimodal systems
Hallucination detection and factual grounding
Fairness, bias, transparency, and explainability
Privacy-preserving multimodal learning and services
Content provenance, authenticity, watermarking, and deepfake detection
Multimodal interaction, accessibility, usability, and human oversight
6. Applications, Evaluation, and Industry Practice
Healthcare, education, science, finance, and public services
Creative industries, media, entertainment, and digital content
Multimodal systems for manufacturing, mobility, and robotics
Multimodal datasets, benchmarks, metrics, and evaluation methods
User studies and human–AI collaboration
Large-scale deployments and industry experience
Paper Tracks
Review and Submission Requirements
All submissions must report original and unpublished work and must not be under review elsewhere at the time of submission.
Each manuscript will be reviewed by at least three program committee members. Papers will be evaluated according to:
Relevance to AIMS
Originality and significance
Technical or practical quality
Strength of experimental or empirical evidence
Clarity and organization
Reproducibility
Research, user, or real-world impact
Papers should position their contributions accurately within the relevant international literature. Authors are encouraged to cite AIMS and other conferences or journals when genuinely relevant. Citation of any particular venue is not required.
Research Track and Application and Industry Track manuscripts are limited to 15 pages in the Springer LNCS format. Short Paper Track manuscripts are limited to 8 pages. Authors may purchase up to two additional pages, subject to the applicable publication fee. Special Paper Track submissions should follow the limits specified in the corresponding call.
Authors must use the official Springer LNCS templates:
Electronic submission in PDF or Word format is required. Manuscripts that do not follow the required format or exceed the permitted page limit may be returned without review.
A Research Track submission that primarily presents an application or deployed solution may be recommended for consideration by the Application and Industry Track.
At least one author of each accepted paper must register for AIMS 2026 and present the paper at the conference.
Paper Submission
Research Track
Submit to the AIMS 2026 Research Track: https://edas.info/newPaper.php?c=34928&track=136036
Application and Industry Track
Submit to the AIMS 2026 Application and Industry Track: https://edas.info/newPaper.php?c=34928&track=136035
Short Paper Track
Submit to the AIMS 2026 Short Paper Track: https://edas.info/newPaper.php?c=34928&track=136037
Special Paper Track
Submit to the AIMS 2026 Special Paper Track: https://edas.info/newPaper.php?c=34928&track=136038
Detailed instructions for manuscript preparation, submission, review, panels, tutorials, and workshops are available on the SCF author-guidance pages.
Conference Proceedings
Accepted and presented AIMS 2026 papers will be published in the conference proceedings, which are scheduled to appear in Springer’s Lecture Notes in Computer Science (LNCS) series.
Springer makes LNCS proceedings available to major abstracting and indexing services. Final inclusion of a volume or individual paper is determined by the policies and selection criteria of each indexing service.
Under the current SCF publication arrangement, the AIMS 2026 proceedings are expected to become freely accessible through SpringerLink four years after publication.
Extended versions of selected papers may be invited to relevant partner journals. Journal submissions must include substantial extensions and will undergo the journal’s independent editorial and peer-review process.
Awards
AIMS 2026 will recognize outstanding contributions through:
Best Paper Award
Best Student Paper Award
For the Best Student Paper Award, the first author must be a full-time student.
Important Dates
The AIMS 2026 technical program includes four submission tracks.
Research Track
The Research Track welcomes original and technically rigorous contributions that advance AI models, multimodal learning, agentic intelligence, generation, interaction, or AI-service methods.
Research papers should:
Clearly define the research problem and contribution
Explain the novelty relative to relevant international literature
Present technically sound methods
Use appropriate datasets, baselines, metrics, and ablation studies
Provide rigorous and reproducible evaluation
Discuss limitations, risks, and threats to validity
Demonstrate a generalizable contribution to AI or multimodal services
Application and Industry Track
The Application and Industry Track focuses on deployed AI systems, multimodal applications, industry solutions, and evidence-based experience.
Papers should:
Describe a significant real-world problem
Explain the AI or multimodal system design
Present deployment evidence, user evaluation, or measurable outcomes
Discuss data, safety, privacy, scalability, and operational constraints
Identify lessons that can be transferred to other settings
Clarify the practical or system-level innovation
Papers in this track do not need to introduce a new AI model. However, they should contribute through application innovation, system integration, deployment evidence, user impact, or generalizable practical knowledge.
Short Paper Track
The Short Paper Track welcomes focused contributions, including:
Promising early-stage research
Novel AI or multimodal system concepts
Emerging challenges and research visions
Datasets, benchmarks, tools, and reusable artifacts
Focused empirical findings or negative results
Concise deployment and user-study reports
Short papers must clearly state their contribution, evidence, relationship to prior work, and limitations.
Special Paper Track
The Special Paper Track addresses designated emerging topics and community priorities announced by AIMS 2026. Submissions should follow the requirements of the corresponding special-track call.
Research, Application and Industry, and Short Paper Tracks:
Early-birds paper submission due: March 20, 2026
Review comments to Early-birds paper submission: April 10, 2026
Regular paper submission due: May 21, 2026
Review comments to Regular paper submission: June 15, 2026
Special track paper submission due: June 21, 2026
Review comments to Special track paper submission: June 25, 2026
Camera-ready manuscripts due: June 28, 2026
Conference dates: August 22 - 25, 2026
Academic Development
AIMS evolved from the International Conference on AI and Mobile Services into the International Conference on AI and Multimodal Services. This development reflects the expansion of digital interaction from mobile channels to integrated text, image, speech, audio, video, sensor, and immersive modalities.
Recent AIMS conferences were held in Seattle in 2018, San Diego in 2019, virtually in 2020 and 2021, Honolulu in 2022 and 2023, Bangkok in 2024, and Hong Kong in 2025.
AIMS 2026 continues this evolution by examining how multimodal intelligence can be transformed into interactive, trustworthy, and agentic AI services.
AIMS and Smart Computing Frontier
AIMS is a member of the Smart Computing Frontier, a federation of ten co-located international conferences.
Within SCF, AIMS focuses on AI models and methods, multimodal understanding and generation, intelligent interaction, and the delivery of AI capabilities as services.
Its scope is complementary to the other SCF conferences:
ICWS focuses on Web interfaces, APIs, protocols, and Web-based services.
SCC focuses on general service engineering, lifecycle management, and value creation.
CLOUD focuses on cloud infrastructure, platforms, and resource management.
BigData focuses on large-scale data systems and analytics.
EDGE focuses on computing systems located near data sources and users.
ICIOT focuses on connected devices and Internet of Things systems.
ICCC focuses on computational models of cognition and cognitive systems.
ICBC focuses on blockchain technologies and trusted ecosystems.
METAVERSE focuses on immersive and persistent digital environments.
This structure supports interdisciplinary collaboration while preserving AIMS’s distinctive identity as the conference devoted to AI and multimodal services.
Organizing Committee
AIMS 2026 Organizing Committee
Program Chairs
Prof. Yujiu Yang, Tsinghua University
Prof. Mengxing Huang, Hainan University
Prof. Xiuqin Pan, Minzu University of China
Operations Committee
Dr. Jing Zeng, China Gridcom Co., Ltd.
Dr. Yishuang Ning, Tsinghua University
Dr. Sheng He, Kingdee International Software Group Co., Ltd.
Dr. Zhuolin Mei, Jiujiang University
AIMS 2026Program Committee
Dr. Guangming Li, DongGuan University of Technology
Dr. Yishuang Ning, Tsinghua University
Dr. Xiuqin Pan, Minzu University of China
Dr. Phuoc Hung Pham, Kent State University
Dr. Xiaokun Wang, University of Science and Technology Beijing
Mr. Dwith Chenna, Magic Leap
Mr. Yan Gao, University of International Relations
Mr. Tanmay Laud, Hippocratic AI
Mr. Sagar Suresh, A. P. Shah Institute of Technology
Ms. Zhongjian Dai, Beijing Institute of Technology
Ms. Xiaoyuan Li, Zhengzhou University
Ms. Xiaohui Wang, University of Science and Technology Beijing
Prof. Binyang Li, University of International Relations
Prof. Sun Na, Minzu University of China
Prof. Yuchao Zhang, Beijing University of Posts and Telecommunications
Contact Information
For inquiries regarding AIMS 2026:
aims AT ServicesSociety DOT org
For questions regarding Smart Computing Frontier conferences:
confs AT ServicesSociety DOT org
Researchers and practitioners are welcome to join the Services Society community and participate in future AIMS and SCF professional activities.
Sponsors
