AIAQ 2027 (International Conference on Artificial Intelligence, Advanced Computing, and Quantum Technologies) is an academic conference held in Ranchi, India on 2027-07-02. The paper submission deadline is 2027-03-15. Acceptance notifications are sent on 2027-05-20.
Recent advances in Artificial Intelligence (AI), High-Performance Computing (HPC), and Quantum Technologies are transforming the landscape of modern computing and intelligent systems. AI is increasingly being used to address complex problems in areas such as healthcare, climate modeling, robotics, and decision-making systems. At the same time, high-performance computing provides the computational power required to train large-scale AI models and perform large-scale scientific simulations. Meanwhile, quantum computing is emerging as a revolutionary paradigm capable of solving computational problems beyond the capabilities of classical computers. The integration of these technologies is opening new research frontiers in intelligent computing, scalable machine learning, quantum algorithms, and advanced computational systems. This conference will provide a global platform for researchers and professionals to present their latest innovations, exchange ideas, and explore future directions in intelligent and high-performance computing technologies.
Objectives of the Conference
To provide an international forum for presenting cutting-edge research in artificial intelligence, high-performance computing, and quantum technologies.
To promote interdisciplinary collaboration among researchers working in AI, advanced computing, and quantum systems.
To facilitate interaction between academia, industry, and government organizations working in emerging computing technologies.
To highlight recent advances in intelligent systems, scalable machine learning, and computational infrastructures.
To encourage participation of young researchers, doctoral scholars, and students in emerging research areas.
To strengthen research collaboration and innovation in advanced computing technologies in India and globally.
Conference Tracks
Track 1: Artificial Intelligence and Machine Learning
Deep learning and foundation models
Explainable AI and trustworthy AI
Neuro-symbolic AI and hybrid intelligence
Continual learning and lifelong learning
Graph neural networks and relational learning
Generative AI and large language models
AutoML and neural architecture search
AI for computer vision, NLP, and speech processing
AI for healthcare, bioinformatics, and drug discovery
AI for climate science, agriculture, and sustainability
Track 2: High-Performance Computing and Parallel Systems
Parallel algorithms and architectures
Distributed and cluster computing
High-performance machine learning and AI
Scientific computing and numerical simulation
HPC for climate, physics, and engineering applications
Performance optimization and energy-efficient computing
HPC for bioinformatics and computational science
Scalable computing for big data analytics
Track 3: Quantum Computing and Quantum Machine Learning
Quantum algorithms and quantum circuits
Quantum machine learning
Hybrid classical-quantum computing
Quantum optimization and annealing
Quantum information and communication
Quantum cryptography and post-quantum security
NISQ computing and near-term quantum devices
Quantum simulation for physics and chemistry
Quantum computing for AI and data science
Quantum cloud computing platforms
Track 4: Data Science and Intelligent Analytics
Big data analytics
Data mining and knowledge discovery
Predictive modeling and forecasting
Social network and graph analytics
Real-time and streaming analytics
Explainable data analytics
Data science for healthcare and genomics
Data science for climate and environment
Industrial and financial analytics
Track 5: Intelligent Systems and Applications
AI in healthcare and medical imaging
AI in bioinformatics and life sciences
Smart cities and IoT systems
Robotics and autonomous systems
Intelligent transportation systems
AI for agriculture and food security
AI for cybersecurity and anomaly detection
AI in education and learning systems
Human-AI interaction and cognitive systems
Track 6: Emerging Technologies and Future Computing
AI + Quantum computing integration
AI + High-performance computing convergence
Digital twins and simulation intelligence
Cyber-physical and intelligent embedded systems
Computational sustainability and green computing
Edge AI and tiny machine learning
Neuromorphic and brain-inspired computing
Swarm intelligence and bio-inspired computing
Blockchain and distributed intelligent systems
Metaverse, AR/VR, and immersive computing
Agentic AI and autonomous intelligent agents
Responsible AI, ethics, and trustworthy computing
まだコメントはありません。