MINspire 2026 is a two-week bootcamp designed to take you from the mathematical foundations of machine learning to frontier research-level architectures used in modern AI systems. Organized by Mathematics Initiatives in Nepal, this program emphasizes learning by doing, where every concept is implemented in code the same day.
Participants will explore theory, build models, and engage with research papers, ultimately developing and training multiple architectures and completing a capstone project that connects theory with real-world application.
📅 Date: June 1 to June 12, 2026
💻 Mode: Hybrid
⏰ Session Duration: Approximately 2 hours per day
💰 Registration Fee: Rs 450 (Financial Aid Available)
📄 Program Details: bit.ly/minspire26detail
• Fully Online: Attend both weeks via live stream with access to notebooks, datasets, and session recordings
• Hybrid: Week 1 online and Week 2 in person at SwostiShree Gurukul with lab support, collaboration, and live presentations
• Foundations: Derive gradient descent and implement regression, SVM, decision trees, and clustering
• Deep Learning: Build and train neural networks using PyTorch, including CNNs, RNNs, LSTMs, and Transformers
• Research: Explore advanced architectures such as Graph NNs, Spiking NNs, KANs, Neural ODEs, and Physics-Informed NNs
• Capstone: Design, implement, and present an end-to-end ML project
• Classical ML: Regression, SVMs, Decision Trees
• Deep Learning: CNNs, RNNs, LSTMs, Transformers
• Advanced Models: Graph NNs, Spiking NNs, Physics-Informed NNs, KANs, Neural ODEs
• Discussions: Daily Paper of the Day sessions on recent research
• Analysis: In-depth study of machine learning literature
• Hands-on: Work with 2024 to 2026 breakthrough models
• Project: Independent capstone project development
Prof. Trush Majmudar
Clinical Assistant Professor, NYU Courant Institute
36+ Publications and 2666+ Citations
An experienced academic and researcher guiding participants through both theoretical and practical aspects of machine learning and AI research.
• Programming: Basic Python, including loops, functions, and variables
• Math: High school calculus, including derivatives and basic integrals
• Algebra: Understanding of algebra and basic matrix notation
• Mindset: Willingness to work through challenging problems
• Students: High school seniors with a strong mathematics background
• Undergraduates: Students interested in machine learning
• Learners: Those who can code but have not applied it to ML
• Aspirants: Anyone wanting to connect theory with practice
Organized by Mathematics Initiatives in Nepal (MIN)
✉️ Email: minspire@mathsinitiatives.org
📞 Phone: 9845433212, 9841582130
💼 LinkedIn: Mathematics Initiatives in Nepal (MIN)
