AI Future Lab: Seattle High School AI Winter Camp

US/Pacific
PAB B042

PAB B042

Physics and Astronomy Building 6th Floor
Shih-Chieh Hsu (University of Washington Seattle (US))
Description

This AI science and engineering camp is designed for high school students who are passionate about scientific discovery and eager to explore how artificial intelligence is transforming science and engineering. The mission of the course is to introduce foundational AI concepts and inspire students through hands-on learning, while also providing a unique opportunity to experience real-world research environments through guided lab tours. The program is structured around two major components: engaging AI lectures paired with practical exercises, and immersive visits to leading-edge research laboratories.

Foundational AI introduction
The AI lecture series covers a broad introduction to machine learning, deep learning, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and natural language processing. Students will gain an understanding of how these technologies work, their applications across different fields, and how AI is driving innovation in science and engineering12.

Pioneer Research Lab tour
In addition to classroom learning, students will participate in tours of several advanced research labs. These visits will expose them to a range of topics, from brain imaging and quantum materials to robotics, sensing systems, and applied physics, providing a first-hand look at how AI and technology are used in cutting-edge scientific research.

Prerequisite
To participate in the camp, students are expected to have a basic understanding of Python programming, as this will be essential for both the hands-on AI exercises and for engaging with the technical content presented during the course.

A3D3 event coordination
    • 1
      Check-in
      Speaker: Shih-Chieh Hsu (University of Washington Seattle (US))
    • 2
      Welcome
      Speaker: Shih-Chieh Hsu (University of Washington Seattle (US))
    • 3
      Icebreaking
      Speaker: Shih-Chieh Hsu (University of Washington Seattle (US))
    • Lecture: Lecture1: AI Overview
      Convener: Abdelrahman Asem Elabd (University of Washington (US))
    • Projects: AI Projects: Intro (+ team organization + dataset)
      Convener: Abdelrahman Asem Elabd (University of Washington (US))
    • 12:00
      Lunch
    • Tour: NOMR Lab
      Conveners: David Aplin, Tyler Case
    • Labs: Lab1: Python intro by Anni
      Conveners: Anni Xiong (University of Washington), Miles Cochran-Branson (University of Washington (US))
    • Lecture: Lecture2: Machine Learning vs Deep Learning
      Convener: Abdelrahman Asem Elabd (University of Washington (US))
    • Labs: Lab2: Data loading + MatPlotLib
      Conveners: Anni Xiong (University of Washington), Miles Cochran-Branson (University of Washington (US))
    • Projects: Projects: load and plot dataset for feature exploration
      Conveners: Anni Xiong (University of Washington), Manali Sawant
    • 12:00
      Lunch
    • Tour: Quantum Material lab visit
      Convener: Jiun-Haw Chu
    • Labs: Lab3: Linear Regression + Bonus: Boston Housing
      Conveners: Anni Xiong (University of Washington), Miles Cochran-Branson (University of Washington (US))
    • Lecture: Lecture3: Computer Vision and Reinforcement learning
      Convener: Abdelrahman Asem Elabd (University of Washington (US))
    • Labs: Lab4: 2Gaussian Classification + Bonus: MNIST
      Conveners: Anni Xiong (University of Washington), Miles Cochran-Branson (University of Washington (US))
    • Projects: Projects: build 1st AI model
      Conveners: Anni Xiong (University of Washington), Miles Cochran-Branson (University of Washington (US))
    • 12:00
      Lunch
    • Projects: AI Projects: draft slide preparation
      Conveners: Anni Xiong (University of Washington), Manali Sawant
    • 4
      AI Projects: discuss project status with local high school students

      U.S. students will meet with 20 high school students from Taiwan who are currently working on their final AI projects. The Taiwanese students will present their work in small groups for discussion with the U.S. students. In turn, the U.S. students will provide feedback on the projects and offer suggestions to help improve the presentations.

      Speaker: Anni Xiong (University of Washington)
    • Lecture: Lecture4: Generative AI and LLM
      Convener: Abdelrahman Asem Elabd (University of Washington (US))
    • Projects: AI Projects: Final Presentation rehearsal
      Conveners: Anni Xiong (University of Washington), Shih-Chieh Hsu (University of Washington Seattle (US))
    • Projects: AI Projects: Final Presentation improvement
      Conveners: Anni Xiong (University of Washington), Manali Sawant
    • 12:00
      Lunch
    • Projects: AI Projects: final preparation
      Convener: Anni Xiong (University of Washington)
    • 14:00
      Inviting speaker: Kazumi Tolich WRF Studio (PAB 6th floor)

      WRF Studio (PAB 6th floor)

      Kazumi Tolich (she/her/hers) is an Associate Teaching Professor of Physics at the University of Washington whose work centers on research-based undergraduate physics education, particularly in large-enrollment introductory courses and laboratories. She holds a Ph.D. in Physics from Stanford University, where she conducted experimental research on neutrino oscillations and geoneutrinos using the KamLAND detector, building on earlier degrees from UC Berkeley and Saddleback Community College. At UW, she focuses on helping students develop strong conceptual understanding, quantitative reasoning, and laboratory skills, and she contributes to mentoring and community-building efforts that support an inclusive learning environment for physics students.

      https://phys.washington.edu/people/kazumi-tolich

    • 5
      Final Presentation WRF Studio (PAB 6th floor)

      WRF Studio (PAB 6th floor)

      Speakers: Anni Xiong (University of Washington), Shih-Chieh Hsu (University of Washington Seattle (US))