FOUR YEARS OF ANAIS
FOUR YEARS OF ANAIS
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ANNUAL NEPAL AI SCHOOL
ANNUAL NEPAL AI SCHOOL
The Annual Nepal AI School (ANAIS) is a unique platform in South Asia that brings together from all over the world scientists, faculties, and participants for an intensive 11 days of AI lectures, labs, and project works. 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, from senior undergraduates and graduates to PhD students, teaching faculties, and industry professionals.
GLIMPSES OF PAST EDITIONS
GLIMPSES OF PAST EDITIONS
World renowned scientists and faculties from top universities have come to Nepal and delivered more than 200 hours of lectures and more than 80 hours of hands-on lab sessions. Participants have had the opportunity to network, learn, and enjoy 11 days of intensive workshops in each of the past four editions.
Previous Editions:
OUR OBJECTIVES
OUR 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 prerequisite students/professionals 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 important role in democratizing AI by inspiring the next generation of leaders in AI from developing countries
Provide overview of state-of-the-art research in ML and AI.
TESTIMONIALS
TESTIMONIALS
Jesse, a BSc. Land Surveying and Geomatics Student at Makerere University, Kamapala, Uganda, shares his experience and lessons learnt from 2nd NAAMII Winter School in AI with fellow Students.
Thank you @naamii_nepal for the opportunity.
BSc. Land Surveying and Geomatics. Makerere University Kampala, Uganda
Jesse Buyungo
I had the best end of the year at the First Nepal Winter School in AI, talking about RL and getting to know local students and community. Thank you @naamii_nepal for this unique opportunity. I've learned and experienced so much these days! Looking forward to see you all next year!
Speaker - 1st Nepal Winter School in AI, 2018. PostDoc - Imperial College, London
Guillermo Garcia-Hernando, PhD
This was the best thing that had ever happened to me ...There were participants from all across the world and learning between international students was indeed more than fun. I miss everyone I met there ...This workshop not only gave me a goal, it also converged me with really helpful and humble people.
Participant - 2nd Nepal Winter School in AI, 2019. Women Leaders in Technology (WLiT) Fellow 20/21
Laxmi Chapagain
These awesome folks started the first AI research centre in Nepal(naamii.com.np) and organize their first Winter School for AI! Such efforts in under/developing countries could use all the support they can get. Plus, Himalayas!!! #democratizeAI
PostDoc - Imperial College, London.
Kostas Kamnitsas
In the last 11 days, I attended lectures from PhDs, professors, and researchers from @MIT @MILAMontreal @KingsCollegeLon @UnivOfYork and other prestigious Institutions. (1/n)
Currently, PhD Student at George Mason University. Attended 1st Nepal Winter School in AI, 2018.
Abhishek Paudel
PREVIOUS KEYNOTE SPEAKERS
PREVIOUS KEYNOTE SPEAKERS
Karl Friston, PhD
University College London
Prof. Michael Bronstein
University of Oxford, UK
Prof. Danail Stoyanov
University College London/WEISS
Prof CV Jawahar
IIIT Hyderabad, India
Prof. Ender Konukoglu
ETH Zurich
IIT Bombay, India
Inria, France
Prof. Angela Yao
National University of Singapore
PREVIOUS LECTURES
PREVIOUS LECTURES
Mathematics
Mathematics
Linear Algebra
Bishesh Khanal (ANAIS 2018, Youtube)
Linear Algebra
Shashwot Shresthamali (ANAIS 2021, Youtube)
Probability and Statistics
Samrachana Adhikari (ANAIS 2018, Part 1|Part 2)
Probability and Statistics
Sandesh Ghimire (ANAIS 2021, Youtube)
Introduction to Optimization
Ajad Chhatkuli (ANAIS 2018, Youtube)
Continuous Probability Distributions
Suresh Manandhar (ANAIS 2018, Part 1 | Part 2 )
Introductory
Introductory
Introduction to AI and Motivation for Linear Algebra and Computer Vision
Bishesh Khanal (ANAIS 2018, Youtube)
Introduction to AI and Motivation for Linear Algebra and Computer Vision
Bishesh Khanal (ANAIS 2021, Youtube)
Introduction to Machine Learning
Samrachana Adhikari (ANAIS 2018, Part 1 | Part 2 | Part 3)
Linear Regression/Logistic Regression
Aayush Chaudhary (ANAIS 2021, Youtube)
Supervised Learning
Kris Sankaran (ANAIS 2021, Part 1 | Part 2) Self/Semi/Un-Supervised Learning
Danda Pani Paudel (ANAIS 2021, Youtube)
Reinforcement Learning
John D. Martin (ANAIS 2021, Youtube)
Deep Neural Network
Deep Neural Network
Deep Learning Foundations
Kris Sankaran (ANAIS 2018, Part 1 | Part 2 | Part 3)
Advanced Deep Learning
Kris Sankaran (ANAIS 2018, Part 1 | Part 2 | Part 3)
Graphical Modeling and Deep Learning
Kris Sankaran and Suresh Manandhar (ANAIS 2018, Youtube)
Convolutional Neural Networks (CNNs)
Nripesh Parajuli (ANAIS 2021, Part 1 | Part 2)
Computer Vision
Computer Vision
Computer Vision - 3D Geometry (Beginner)
Ajad Chhatkuli (ANAIS 2018,Youtube)
Computer Vision: Learning from Points
Ajad Chhatkuli (ANAIS 2018,Youtube)
Recap to Computer Vision - Stereo Vision and 3D
Ajad Chhatkuli ( ANAIS 2018 ,Youtube)
Image Representation, Processing and Feature Extraction
Bishesh Khanal( ANAIS 2018 ,Youtube)
Computer Vision: Deep Face Recognition
Binod Bhattarai (ANAIS 2018 ,Youtube)
Computer Vision: Structure From Motion
Ajad Chhatkuli (ANAIS 2018,Youtube)
Medical Imaging Informatics
Bishesh Khanal and Taman Upadhaya (ANAIS 2018 - Youtube)
Geometry Deep Learning
Geometry Deep Learning
Geometric Deep Learning
Michael Bronstein ( ANAIS 2021, Part 1 | Part 2)
Geometric Deep Learning on Complexes
Cristian Bodnar ( ANAIS 2021, Youtube)
Graph Neural Networks (GNNs)
Vijay Prakash Dwivedi ( ANAIS 2021, Youtube | Part 2)
Subgraphs for More Expressive GNNs
Fabrizio Frasca (ANAIS 2021, Youtube)
Generative Modeling
Generative Modeling
Generative Modeling
Jakub Tomczak (ANAIS 2021, Youtube | Another Video)
Variational Autoencoders (VAEs)
Variational Autoencoders (VAEs)
Variational Autoencoders (VAEs)
Prashnna K Gyawali (ANAIS 2021, Youtube )
Vision Language Models & VQA
Vision Language Models & VQA
Vision Language Models & VQA
Kushal Kafle (ANAIS 2021, Youtube)
TITLE SPONSOR
TITLE SPONSOR
SILVER SPONSOR
SILVER SPONSOR
VENUE PARTNER
VENUE PARTNER
HACKATHON SPONSORS
HACKATHON SPONSORS
SPONSORS
SPONSORS
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