Enrichment Program

Each enrichment is dedicated for you to dive headfirst into the exciting world of artificial intelligence. Throughout our Enrichment Program, you will be immersed in a rich learning environment surrounded by peers who share your passion. Our expert instructors will guide you through advanced concepts, real-world applications, and hands-on projects, providing you with the tools and knowledge needed to excel in the field of machine learning. Get ready to enrich your mind, challenge your skills, and take your journey in AI to the next level during these transformative weeks of learning and growth.

School districts, robotics teams,  interested groups, please contact us directly for details! 

info@sunriseaitech.com 
Program Dates and Place

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:          After-school, or Weekend

Schedule:   Customized schedule tailored to fit for the needs of each group

A few example models:

    •  3-4 hours once a week on a weekday, and complete the program in 4-6 weeks. 
    • 4-5 hours on a weekend day, and complete the program in 4-5 weeks.
    • Five days in a week during school break.

Stony Brook CEWIT

Hosted at CEWIT in Stony Brook University's R&D Park. CEWIT is a state of the art facility, home to many cutting edge tech companies.

Program Fee, Registration, and Contact

Program Fees: $1000 per student (group discount available depending on number of students)

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

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

**Please reach out to us to discuss your schedule and group rate.

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

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 Structure

The program structure is a mixture of both hands on activities and lectures. The students will be given lectures about machine learning and self driving concepts in the morning and in the afternoon there is an interactive portion where they can test drive RC robots, collect data, and train neural networks to autonomously drive them. The course will cover Self Driving concepts, machine learning algorithms, neural network architecture, and data analysis techniques. 

Day 1. Introduction to machine learning and autonomous driving. Students receive hands-on experience by jumping right into the process of training their self-driving models. The required background

for practicing machine learning is covered.

Day 2. Fundamentals of machine learning. (Linear Regression, Softmax Classification)

Day 3. Fundamentals of deep learning. (MLP) 

Day 4. Students are introduced to the state-of-the-art methods for applying machine learning techniques to images. (Convolution, Transformer)

Day 5. Competition and Game. Students participate in a competition in which the models are all evaluated against each other.