2024 Machine Learning and Self-driving Summer Program

Turn your smartphone into an autonomous robot! Learn how to train artificial intelligence, and much more!

A two-week summer program for high school students to

Learn deep learning programming

Build your very own autonomous RC car

Apply AI algorithms to create an end-to-end autonomous system

One week program is also available during the summer. Click here!

Program Dates and Place

This is a day program: housing and transportation are not provided.

If you need lodging with free shuttle to/from our location, you can book at group discount rate in a nearby hotel at your own responsibility. Click here to learn more info.

Eligibility: High-school Students (9th to 12th grade)

Place:

Building: Center of Excellence in Wireless and Information Technology (CEWIT)

Address: 1500 Stony Brook Rd, Stony Brook, NY 11794

Time: 9:30 am – 4:30 pm

Date:

Session I: July 8 – July 19, 2024

Session II: August 5 – August 16, 2024 ( Newly added! )

3. Program Fee, Registration, and Contact

Program Fees: $2,500

Payment Method: (Please kindly write student name and session number)

Zelle (preferable) – Sunrise Technology Inc., 631-507-3608 or sunrisetechnology001@gmail.com
Mail check to Sunrise Technology Inc., CEWIT, 1500 Stony Brook Road, Stony Brook, NY 11794

**Maximum 24 seats per session, registration is first come first serve

Any and all questions about registration or fees should be directed to info@sunriseaitech.com

4. Program Instructors

The program instructors are a group of Sunrise Technology employees/engineers with direct experience designing, testing, and implementing the system. Leading instructor is Professor Dantong Yu, who has years of teaching and research experiences in the field of machine learning.

Management:

Program Director: Yu Sun, CEO of Sunrise Technology Inc.

Program Co-Director: David Hamilton, MTRC Center Director

5. Program Structure

The program structure is centered around lectures where the students will learn the relevant concepts and a lab portion where they can apply what they learned in a more hands on way.

Day 1. F1/10 Autonomous Driving Vehicle Introduction, Hand-on drive the real radio-controlled vehicle in-door and out-door, practice and control your car from your desk.

Day 2. Introduction to Deep Learning and Self-Driving System Break-Down: Traxxas 1/10 RC Car, Cell Phone Programming, Hardware Components, Programming Environment

Day 3. Python Programming Basic and Machine Learning Basics (Linear Algebra, Probability, and Gradient Descend)

Basic Software Install Anaconda, Google Colab

Day 4. Linear Neural Networks

Day 5. Multilayer Perceptron (MLP), your first Deep Neural Networks Models

Day 6. Convolutional Neural Networks for Self-Driving

Day 7. Advanced Convolutional Neural Networks for Self-Driving;
Afternoon: Indoor Data Collection Training and Testing Self Driving with the five most popular Convolutional neural Networks models.

Day 8. Object Detection Networks. Model Training and Testing Day (In-door close-loop track)

Day 9. Model Training and Testing Day (Out-door-parking lots)

Day 10. Parents’ day, Robotic Racing Competitions (Fast, Furious, and Safe), and graduation and certification ceremony