Topics of Interest

We welcome work spanning AI, machine learning, data science, computer vision, NLP, multimodal learning, and related areas. Topics include, but are not limited to:

⚡ Efficient & Resource-Aware AI

• Model compression, quantization, pruning, and distillation

• Efficient training and inference

• Edge AI and TinyML

• AI for low-power and bandwidth-constrained environments

• Data-efficient and compute-efficient learning

• Sustainable AI and energy-efficient computing

🌍 AI for Social Impact

• AI for social good

• AI for healthcare

• AI for agriculture

• AI for education

• AI for science

• AI for climate and sustainability

• AI for financial inclusion

• AI for disaster response

• AI for development

🗣️ Data, Language, Culture & Representation

• Low-resource languages

• Multilingual and multimodal AI

• Dataset development

• Data-centric AI

• Speech and language technologies

• Culturally aware AI

• Indigenous and local knowledge

• Representation learning

• Bias and fairness in diverse contexts

🤝 Responsible & Inclusive AI

• Fairness and representation

• Trustworthy and responsible AI

• Human-centered AI

• Participatory AI

• Algorithmic accountability

• AI safety in resource-constrained environments

• AI governance and digital sovereignty

🌱 AI Ecosystems & Capacity Building

• AI education and training

• Research capacity building

• Community-driven AI initiatives

• Open-source AI

• Research infrastructure

• AI policy and governance

• Technology transfer

• Building sustainable AI ecosystems in emerging economies

🤖 Foundation Models & Generative AI

• Foundation models for low-resource environments

• Efficient LLMs and multimodal foundation models

• Generative AI for resource-constrained settings

• Small language models

• Adaptation and personalization of foundation models

• AI agents for emerging economies

• Agentic AI

• New paradigms for AI research from the Global South

We also welcome machine learning research in theory, methodology, and applications, broadly aligned with the scope of NeurIPS. See the NeurIPS 2026 Call for Papers for the broader range of research topics.