2024 Enrichment Weeks

Each enrichment week is dedicated for you to dive headfirst into the exciting world of artificial intelligence. Throughout our Enrichment Weeks 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.

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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

Dates:     

February 19th – 23rd, 2024 (mid-winter break, M-F)

July 22nd – 26th, 2024

**Program can be canceled one week prior to the date if registration does not meeting minimum requirements.

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

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

**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

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.

Morning: Short lecture on the day’s topic.

Lunch Break

Afternoon: Students do some coding/notebook and then dive into deep learning by creating and training their own AI to autonomously drive the cars. 

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