Conference Information

AISSA 2026: International Conference on Artificial Intelligence Centric Systems, Services, and Applications

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AISSA
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Submission Date:
2026-09-10 Due today
Notification Date:
2026-11-01
Conference Date:
2026-12-08
Location:
San Antonio, Texas, USA
Viewed: 477   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.5 / 100
Ranked #2,929 of 5,658 conferences · Top 52%

#330 of 737 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
17
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 9

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-10

Call For Papers

AISSA 2026 (International Conference on Artificial Intelligence Centric Systems, Services, and Applications) is an academic conference held in San Antonio, Texas, USA on 2026-12-08. The paper submission deadline is 2026-09-10. Acceptance notifications are sent on 2026-11-01.

Artificial Intelligence (AI) systems are computational frameworks designed to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. These systems integrate algorithms, data, and computing power to enable machines to adapt and improve their performance over time. AI systems encompass a wide range of technologies, including machine learning, natural language processing, computer vision, and autonomous robotics, and they are increasingly applied in domains such as healthcare, finance, cybersecurity, transportation, and smart cities. As they continue to evolve, AI systems are not only transforming industries and enhancing human capabilities but also raising important considerations around ethics, transparency, and trustworthiness. The International Conference on Artificial Intelligence Centric Systems, Services, and Applications (AISSA 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. AISSA 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. AISSA 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to: Machine Learning and Data-Driven Systems Deep Learning, Representation Learning, and Transfer Learning Reinforcement Learning and Adaptive Systems Federated, Distributed, and Edge AI Reinforcement Learning and Autonomous Agents Federated Learning and Distributed AI Systems AI Applications and Intelligent Systems Scalable and High-Performance AI Architectures Edge AI, Cloud AI, and Embedded Intelligence Optimization and Resource-Aware AI Systems Natural Language and Multimodal AI Natural Language Processing and Understanding Speech Recognition and Conversational Agents Multimodal Learning and Vision-Language Systems Knowledge Representation and Reasoning Data Mining, Knowledge Discovery, and Information Retrieval Automated Planning and Scheduling Generative AI, Foundation Models, and Large Language Models Generative AI and Large Language Models (LLMs) Explainable and Responsible AI Federated, Distributed, and Edge AI Reinforcement Learning and Autonomous Agents AI for Decision Support Systems Natural Language Processing and Computational Linguistics Multilingual and Low-Resource Language Models Human-Computer Interaction (HCI) and Assistive Technologies Conversational AI and Dialogue Systems Computational Language and Human-Centered Systems Prompt Engineering and Fine-tuning Multimodal LLMs Agentic AI Computer Vision, Image and Video Processing Image and Video Understanding Object Detection, Recognition, and Tracking Multimodal Learning and Vision-Language Systems 3D Vision and Scene Understanding Affective Computing and Emotion Recognition Artificial Intelligence Applications Robotics and Autonomous Systems AI for Healthcare, Smart Cities, and Transportation AI in Finance, Education, and Industry 4.0 AI for Cybersecurity, Privacy, and Digital Trust AI Infrastructure and Engineering Recommender Systems and Personalization AI for Social Good and Humanitarian Applications Emerging Trends and Future Directions in AI Systems Artificial Intelligence Security Responsible and Trustworthy AI Explainable AI and Transparency Ethical and Societal Implications of AI AI Safety, Robustness, and Security AI Policy, Regulation, and Governance
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