A3LLM 2026

A3LLM 2026 Conference Topics

The International Conference on Intelligent Systems, Foundation Models and Their Applications (ISFM 2026) brings together leading researchers, industry experts, and practitioners to explore advances in artificial intelligence, machine learning, and intelligent computing systems. The conference focuses on foundation models, AI agents, autonomous systems, multimodal learning, and real-world applications across healthcare, finance, robotics, smart cities, and edge computing. ISFM 2026 aims to serve as a flagship venue for advancing intelligent systems research and promoting responsible, scalable, and human-centered AI technologies.

Large Language Models (LLMs)
Vision-Language Models (VLMs)
Multimodal AI (text, image, audio, video)
Instruction tuning and alignment
Reinforcement Learning from Human Feedback (RLHF)
Mixture-of-Experts (MoE)
Long-context models
Synthetic data generation
Model compression and distillation
Efficient training techniques

LLM-based autonomous agents
Multi-agent systems
Tool-augmented reasoning
Planning and decision systems
Self-improving AI agents
AI coding assistants
Web automation agents
Memory-augmented systems
Human-AI collaboration
Embodied AI agents

Distributed AI systems
GPU/TPU optimization
Low-latency inference
Cloud AI architectures
Vector databases (RAG systems)
AI orchestration pipelines
Edge-cloud AI systems
AI operating systems
Energy-efficient AI
High-performance computing

Healthcare AI systems
Finance and fintech AI
Smart manufacturing
Autonomous robotics applications
AI in education
Cybersecurity AI
Smart cities
Legal AI systems
Scientific discovery AI
Industrial automation

Humanoid robotics
Reinforcement learning for robotics
Human-robot interaction
Sim-to-real transfer
SLAM and navigation
Swarm robotics
Assistive robotics
Cognitive robotics
Haptic systems
Embodied intelligence

Self-supervised learning
Federated learning
Active learning
Continual learning
Dataset curation
Synthetic data generation
Weak supervision
Bias mitigation
Few-shot learning
Benchmark datasets

AI safety and alignment
Explainable AI (XAI)
Fairness and bias
AI governance
Model auditing
Privacy-preserving ML
Deepfake detection
Misinformation control
Ethical AI systems
Regulatory compliance

World models
Neuromorphic computing
Quantum machine learning
Bio-inspired AI
Digital twins
AGI research directions
Cognitive architectures
Neural-symbolic AI
Self-evolving systems
AI-generated software

Edge AI systems
TinyML
On-device AI
AI chips (NPUs, ASICs)
IoT intelligence
5G/6G edge computing
Neuromorphic hardware
Wearable AI systems
Embedded intelligence
Hardware-software co-design

A3LLM 2026 Conference Topics

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A3LLM 2026 Conference Topics

Track 1: Foundation Models and Multimodal AI

Track 2: AI Agents and Autonomous Systems

Track 3: Intelligent Systems and AI Infrastructure

Track 4: AI Applications and Industry Systems

Track 5: Robotics and Embodied AI

Track 6: Data-Centric AI

Track 7: Responsible AI

Track 8: Emerging AI Paradigms

Track 9: Edge AI and Hardware Systems

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