TINY TENSOR 2026

OUR COMMITTEE

COACH

Nghiem Xuan Quoc

Van Duc Anh Tuan

Do Gia Khang

Phan Kien Su

Nguyen Phuc Thinh

Nguyen Gia Thinh

MENTORS TEAM

Nguyen Phuc Thinh

Nguyen Bao Nguyen

Tran Khanh Dang

Nguyen Bao Khoi

Phan Hoang Quyen

Ha Truong Thuy

Tran Ho Khoa

Do Dieu Linh

WEBSITE ADMINISTRATOR

Nguyen Gia Thinh

CO-DIRECTOR OF QUALITY ASSURANCE (QA)

Phan Hoang Quyen

Nguyen Phuong Linh

Doan Van Quyet

Tran Nhat Vu

CO-DIRECTOR OF STUDENTS RECRUITMENT

Le Phuong Linh

Le Nguyen Nhu Phuc

Le Do Duc Anh

TINY MACHINE LEARNING BOOTCAMP 2026 (TINY TENSOR)

The Tiny Machine Learning Bootcamp is a groundbreaking initiative designed to empower high school students in Vietnam to explore and lead transformative learning experiences in emerging fields such as Artificial Intelligence, Data Science, Business Analytics, Robotics, Neuroscience, and Biological Sciences. Through hands-on activities and interdisciplinary learning, students will discover how modern technologies are shaping the future and how they can become innovators in these rapidly evolving areas.

During the bootcamp, students will gain practical experience by developing real-world applications using the Arduino Nano 33 BLE Sense platform. Participants will learn how to collect sensor data, process signals, and deploy TinyML models directly on embedded devices. This hands-on approach helps students understand how intelligent systems work in everyday devices such as smart wearables, health monitoring systems, and robotics.

In addition to practical development, the bootcamp introduces students to fundamental concepts in machine learning, including neural networks and convolutional neural networks (CNNs). Students will learn how computers recognize patterns from data, such as images, sounds, and motion. By combining theory with real experimentation, the program equips students with the foundational knowledge needed to pursue future studies and careers in AI and technology.

TinyTensor was established to bridge this gap, offering high school students the opportunity to dive into the world of machine learning in an engaging, supportive environment. The program emphasizes a learner-focused approach, allowing students to:

1) Build foundational knowledge of machine learning concepts and algorithms.

2) Gain hands-on experience with real-world ML tools and technologies.

3) Work collaboratively on projects that tackle practical challenges using AI.