BRAINCON 2027
Flagship International Conference of Bharat Research in AI and NextGen (BRAIN)
Venue: Vietnam
Theme: Frugal, Sovereign, Societal Scale AI and Agentic AI
22-24 January 2027
Key Deadlines
Conference starts in:
- Call for Paper Begins: 15/05/2026
- Last Date for Paper Submission: 30/08/2026
- Author Notification: 25/10/2026
- Early Bird Registration: 26/10/2026 - 30/10/2026
- Camera Ready Copy and Copyright Submission: 30/10/2026
- Conference Dates: 22-24 January 2027
About BRAINCON 2027
BRAINCON 2027, the flagship international conference of Bharat Research in AI and NextGen (BRAIN), will be held from 22–24 January 2027 at an international venue (to be announced).
Themed “Frugal, Sovereign, Societal Scale AI and Agentic AI”, BRAINCON 2027 aims to spotlight the dual imperatives of the next AI revolution—building autonomous, intelligent, and collaborative agentic systems while ensuring resource-efficient, accessible, and sustainable AI innovation. This unique blend recognizes that the future of AI lies not only in autonomy and reasoning, but also in frugality, inclusivity, and democratization of technology.
BRAINCON has established itself as a premier global platform bringing together academia, industry, government, and professional bodies to exchange ideas, showcase cutting-edge research, and shape the responsible evolution of AI. The 2027 edition promises keynote sessions, technical paper presentations, workshops, demonstrations, and hackathons, fostering meaningful discussions and collaborations that will define the AI of tomorrow.
About the Organiser
About BRAIN
Bharat Research in AI and NextGen (BRAIN) is a pioneering foundation dedicated to advancing Artificial General Intelligence (AGI) with a strong commitment to ethics, safety, and cultural alignment. Guided by the vision of creating equal opportunities for all, BRAIN strives to ensure that AI-driven solutions are inclusive, accessible, and impactful across communities. With a focus on research excellence, responsible innovation, societal transformation, and ecosystem building, BRAIN bridges cutting-edge AI research with real-world applications in healthcare, education, agriculture, sustainability, and governance. Positioned as a global hub for responsible AI, BRAIN brings together academia, industry, government, and civil society to shape an AI-powered future that is innovative, equitable, and sustainable.
💡 Become a BRAIN Member & Save on Registration
Join the BRAIN community to access exclusive member rates for BRAINCON 2027 — save up to ₹4,000 on your conference registration, plus enjoy year-round benefits including networking, research collaborations, and member-only events.
Join BRAIN TodayConference Tracks
BRAINCON 2027 welcomes submissions in the following areas (but not limited to). We also encourage submissions to our Special Sessions.
- Data-Efficient Learning (Few-shot, Zero-shot, Self-supervised Learning)
- Model Optimization (Compression, Pruning, Quantization, Knowledge Distillation)
- Efficient Model Architectures and Algorithms
- Synthetic Data Generation and Augmentation
- AI for Low-Resource Scenarios
- National and Regional AI Strategies
- Data Governance, Localization, and Privacy-Preserving Machine Learning (PPML)
- The Role of Open Source in Strategic Autonomy
- Ethical Frameworks for National AI Deployment
- Cybersecurity for Critical AI Infrastructure
- AI in Healthcare: Low-cost diagnostics, public health AI.
- AI in Agriculture: Precision farming, supply chain optimization.
- AI for Climate & Environment: Disaster management, sustainable energy.
- AI for Public Services: Education, social safety nets, urban planning.
- NLP for Low-Resource Languages: Preserving digital and cultural heritage.
- Explainability (XAI), Interpretability, and Algorithmic Fairness
- Methods for Bias Auditing and Mitigation in Diverse Cultural Contexts
- Participatory AI and Co-design with Local Communities
- Future of Work and AI-driven Workforce Transitions
- Long-term Social and Equity Impacts of AI
- AI at the Edge (Mobile, IoT, Embedded Systems)
- Hardware for Frugal AI (Low-power accelerators, FPGAs, Neuromorphic Computing)
- Communication-Efficient and Federated Learning
- MLOps for Societal Scale Deployment and Maintenance
- Decentralized Data Architectures
- Network and Cloud Security
- AI-Powered Cybersecurity and Data Privacy
- AI and Blockchain for Secure Transactions
- AI and Quantum