Global AI Chapter Kathmandu (September Chapter)

techWebinarNepal presents “Global AI Chapter 2024” in association with Ncell and Merojob. The Global AI Community mission is to empower tech communities globally through a combination of talks, panel discussions, meetups and networking sessions. Here in Kathmandu Chapter, we aim to establish a consistent rhythm of events that keeps our local AI ecosystem engaged, motivated and curious about the immense potential AI holds for society. This milestone marks an exciting new phase as we establish a vibrant local hub for AI enthusiasts, innovators and forward-thinkers to connect, collaborate and drive the AI agenda in our region. As a proud organizer, We invite you to join us for this incredible event and learn from the best in the industry.

Session and Speaker Details:

AI Agent Architecture
Bimal Raj Gyawali
Software Engineer/Co-Founder
Compass AI

Agenda Summary:

An agenda covering the fundamentals of AI agents, including their components and functionalities, practical applications across industries and various agent architectures ranging from rule-based to utility-based and hybrid systems.

AI In Nepal: Applications and Impact
Kshitiz Regmi
Sr. Machine Learning Engineer
Fusemachines

Kshitiz Regmi is a seasoned Sr. Machine Learning Engineer at Fusemachines. With nearly five years of experience in Machine Learning, AI, and Data Science, Kshitiz excels in ideating, developing, and deploying innovative AI/ML solutions that drive business growth. He specializes in creating architectural solutions for AI products in the media industry, leveraging his expertise in Natural Language Processing (NLP), Deep Learning, Large Language Models (LLMs), and MLOps. He led the Fusemachines team behind the INMA award-winning AI product. Passionate about teaching, he enjoys mentoring aspiring data scientists and ML engineers.

Agenda Summary:

Focus on discussing the current state of AI in Nepal, its use cases and potential opportunities.

Explainable AI
Suresh Pokharel, PhD
Co-founder
Facet Technology

Dr. Suresh Pokharel received his PhD ( area of research - representation learning in healthcare data) from The University of Queensland, Australia and a Master of Engineering in ICT from Asian Institute of Technology (AIT), Thailand. His main areas of research interests are AI/ML (Artificial Intelligence/ Machine Learning), semantic web, representation learning, software engineering, and application of IT/ML (Information Technology/ Machine Learning) in the education system. He has more than a dozen peer-reviewed scientific research articles published in highly ranked international journals and conferences.

Agenda Summary:

Explainable AI (XAI) focuses on making AI models' decision-making processes transparent and understandable to humans. The agenda of XAI includes developing methods and tools that allow users to interpret, trust, and effectively manage AI systems. It aims to provide insights into how models make predictions, identify biases, and ensure fairness and accountability in AI-driven decisions. The goal is to bridge the gap between AI's complexity and human comprehension, enabling more informed and ethical use of AI technologies across various industries.

Registration Link: tiny.cc/globalaichapterkathmandu

Event Details:​
Event Type: (In-Person)
Date: Sunday, 1st September 2024 (Sunday)​
Time: 03:45 PM - 06:30 PM​ NPT
Location: Ncell Icon, Lainchaur, Kathmandu

Registration is compulsory.