Sixth Annual Nepal AI School

STARTS
December 29, 2025 04:15
ENDS
January 08, 2026 11:15
Ended
VENUE
Swostishree Gurukul, Sanobharyang, Kathmandu
CONTACT
  • anais@naamii.org.np
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Sixth Annual Nepal AI School

The Annual Nepal AI School (ANAIS) is a unique platform in South Asia that brings together scientists, faculty, and participants from around the world for an intensive 11-day program of AI lectures, labs, and project work. The course covers depth from fundamentals to a wide range of applications and domains, including the frontier of recently developed ideas and methods. ANAIS attracts diverse audiences, including senior undergraduates and graduates, PhD students, teaching faculty, and industry professionals.

Key Details

  • Application Submission Deadline: December 14, 2025 (Students)
  • Application Submission Deadline December 21, 2025 (Professional)
  • Event Date: December 29, 2025, to January 8, 2026
  • Venue: Swostishree Gurukul, Sanobharyang, Kathmandu
  • Apply: HERE

Objectives

  • Bring together top scientists, researchers, and professors from around the globe to Nepal, providing a venue for sharing and discussing cutting-edge technological advances in AI among both veteran and young researchers.
  • Provide the prerequisite students/professionals with the fundamentals of mathematics, statistics, programming, and paper reading skills required for starting a career in AI research.
  • Inspire early-stage researchers from Nepal and the region to take on challenging high-impact AI problems in visual recognition, natural language processing, medical science, etc.
  • Create new opportunities for the participants and play an essential role in democratizing AI by inspiring the next generation of leaders in AI from developing countries.
  • Provide an overview of state-of-the-art research in ML and AI. 

TOPICS

  1. Foundations & Core Methods
    • Geometric Deep Learning (GDL)
    • Large Language Models (LLMs)
    • Relational Deep Learning (RDL)
    • Reasoning
  2. Agents & Autonomy
    • LLM Agents
    • Multimodal Agents
    • Robot Agents
  3. Perception & Understanding
    • Computer Vision
  4. AI for Society & Industry
    • AI in Healthcare
    • AI in Agriculture
    • AI in Finance