AI SCHOLARS LIVE ONLINE AI CAMP FOR HIGH SCHOOL STUDENTS

BY STANFORD ALUMNI AND GRADUATE STUDENTS

website: inspiritai.com | email: info@inspiritai.com | phone: (917) 371-8971 1

Mission Student Outcomes Live Online Sessions Core Technologies Explored Basic Information Team Curriculum AI for Social Good Project Teaching Style Student Takeaways and Feedback In-Person Programs

Contents

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Inspirit AI Scholars Live Online 2020

WHY AI SCHOLARS? We started Inspirit AI to inspire students at an early age to understand and apply Artificial Intelligence to improve the world. The potential to use this technology for good is limitless. We hope to bring the most recent developments in Artificial Intelligence from courses and labs in Silicon Valley to empower high school students globally. With AI Scholars Live Online, Inspirit AI now gives students the flexibility to access our program from the comfort of their homes.

WHAT IS AI SCHOLARS? What do self-driving cars, Alexa, and iPhone's face recognition technology have in common? They are driven by modern advances in Artificial Intelligence. AI Scholars Live Online is a pre-college enrichment program that exposes curious high school students globally to AI through live online classes, with a student-teacher ratio of 4:1. The program is developed and taught exclusively by Stanford alumni and graduate students specializing in AI. Learn more at: www.inspiritai.com

Students work on a mentor-led group project and present their work to parents, instructors, and peers during the final showcase. They gain access to an online platform for continuous learning after the program, including additional projects in a variety of domains.

AI PROJECT

Student Outcomes

Students attend talks about the AI research and industry work of the instructors in domains such as healthcare, transportation, and specialized chat applications. They receive guidance on pursuing a career in AI moving forward!

AI CAREERS AND VENTURES

Students go through workshops  on preparing for leading CS/AI  programs in the US, gaining inspiration from successful Stanford admission essays and learning how to communicate their project experiences effectively.

PRE-COLLEGE PREPARATION

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“The Inspirit AI camp was an incredible whirlwind of information… During the

two weeks when I worked on my project, I not only learned about coding, but also formed connections with three project

teammates from around the world. Attending this camp helped me realize my passion for STEM, and the

supportive instructors happily supplied resources for me to pursue it further!”

DIVYA GANESAN

"I have never attended a program that makes AI so accessible for high school students. Not only did I learn how to

build various models, I also understood how they worked and how I could apply them to my own passions for history and political science. Inspirit AI has equipped me with the tools and mentors to pursue

artificial intelligence further with a strong foundation."

"Surrounded by a group of welcoming instructors and peers from all around the world made me feel like I could be open and ask questions. I particularly enjoyed

my time working in the Healthcare Project group, where I got to dive into the cross section of medicine and AI. I hope to return next year to expand my knowledge of AI and to use the concepts that I learned in this program to help me

in my future endeavors."

ISHA JAGADISH

Student Testimonials: Live Online

Lakeside High School, SeattleSummer 2020

Castilleja School, Palo AltoSummer 2020

Saratoga High School, SaratogaSummer 2020

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ALLY BUSH

“The Inspirit AI summer program helped me grasp fundamental AI concepts in a surprisingly short amount of time. In addition to coding, I broadened my

perspective dwelling on ethical questions directly from people working on them. At the intersection of my passions for tech and journalism, I got to work on a

fake news detection AI model!”

TARUN PAPARAJU

“The camp was a fantastic experience because I had the opportunity to meet so

many instructors with experience in AI research and industry. I also met a lot of fellow students with similar passions as

mine. Moreover, I learned the importance of socially impactful AI and

AI ethics during the camp”

“Our instructors Tyler and Sandra did an excellent job equipping us with the

knowledge needed to become stalwarts in the field of Artificial Intelligence.

They made sure that we never left class with any doubts or questions. I feel like the program has equipped me with the skills I need to be a part of the future.”

AASHI TYAGI

Student Testimonials: In-Person

The Shri Ram School, AravaliSummer 2019

Greenwood High International School, BangaloreSummer 2019

Emirates Academy, DubaiWinter 2019

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ANANYA GROVER

With a student-teacher ratio of 4:1, students receive personalized instruction and guidance online; meeting during their designated time slot and communicating through video and chat.

Students are able to participate in discussions about modern AI technologies as a group, work on hands-on coding assignments individually, and share their efforts by sharing their screen with the rest of the class.

PERSONALIZED INSTRUCTION Students work closely with their peers throughout various activities and interact with multiple instructors throughout the program.

In addition to technical AI work, students participate in design-thinking games, discussions about the ethics of AI, pre-college preparation workshops, and a final presentation showcase, leading to an overall rich social experience in the virtual context.

COLLABORATIVE LEARNING Students gain access to an online portal with quizzes, coding assignments, and additional AI projects for students to continue learning outside of class sessions.

The portal consists of 6+ complete AI projects in domains such as healthcare, biology, transportation and media for students to continue developing their skills in AI after the program!

ONLINE PORTAL

How Live Online Sessions Work

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Students gain access to our online portal for use during and after the program.

Quizzes on AI concepts Coding exercises

6+ AI projects in healthcare, transportation, biology, media, and more

AI + HEALTHCARE AI + SUSTAINABILITY

AI + MOBILITY AI + ETHICS

ELEMENTS OF ONLINE PORTAL EXAMPLES OF AI PROJECT TRACKS

Online Portal

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COMPUTER VISION NATURAL LANGUAGE PROCESSING

RECOMMENDATION ENGINES

DEEP LEARNING

Core Technologies Explained

Self-Driving Cars Facial Recognition Medical Diagnosis

Alexa Siri

Google Home

Netflix Spotify Amazon

Google Translate Autocorrect

Chatbots

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Basic Information: Winter Break 2020/2021The program runs for 10 sessions of 2.5 hours each during winter break in December and January Students may choose a cohort time that suits them best

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WINTER BREAK COHORT TIMES:

December 21st, 22nd, 23rd, 26th, 27th, 28th, 29th, 30th, January 2nd, 3rd *

Add 3 hours for Eastern Standard Time

WINTER1: 8am — 10:30am PT WINTER2: 12:30pm — 3pm PT WINTER3: 4pm — 6:30pm PT

WINTER BREAK PROGRAM DATES:

Mon MonTue TueWed Thu Fri Sat Sun Wed Thu Fri Sat Sun

21 22 23 24 25 26 27 28 29 30 31 1 2 3

DEC JAN

*Sessions will not be held on December 24th/25th and December 31st/January 1st

Basic Information: Spring Semester 2021The program runs for 10 sessions of 2.5 hours each during the spring semester from January to March Students may choose a 10-week cohort at a time that suits them best

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10-WEEK COHORTS: SPRING1: Every Saturday, January 23rd — March 27th, 8am — 10:30am PT SPRING2: Every Saturday, January 23rd — March 27th, 12:30pm — 3pm PT SPRING3: Every Sunday, January 24th — March 28th, 8am — 10:30am PT SPRING4: Every Sunday, January 24th — March 28th, 12:30pm — 3pm PT SPRING5: Every Friday, January 22nd — March 26th, 7pm — 9:30pm PT SPRING6: Every Thursday, January 28th — April 1st, 4pm — 6:30pm PT SPRING7: Every Tuesday, January 26th — March 30th, 4pm — 6:30pm PT

1 day/week for 10 weeks

Add 3 hours for Eastern Standard Time

Basic Information

PROGRAM COSTS

Program Fees: $900 Admitted candidates will be emailed a link for online payment. 25-hour program, 10 sessions of 2.5-hours each

STUDENT BACKGROUND

High school students from grades 9-12

No programming experience required

Advanced cohort for existing programmers

Students with varied interests. Emphasis on interdisciplinary learning

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Please fill out the application at www.inspiritai.com. Application deadline:

Winter Break Program: November 15th, 2020 Spring Semester Program: December 31st, 2020

Application Questions: (part of the application on the website)

Application Process

Essay Question 1: Why are you interested in joining the Inspirit AI Scholars program? (Recommended: 150 words)

Essay Question 2: Describe an AI project you would like to work on. (Optional)

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CHRIS PIECH Faculty Advisor

• Assistant Professor of Computer Science at Stanford, teaches programming, probability, and AI courses

• Obtained PhD in Artificial Intelligence and completed undergraduate studies at Stanford University

• Current research is focused on using machine learning to understand and enhance human learning

• Faculty advisor for course, Artificial Intelligence for Social Good

• Specializes in teaching CS using design, animation and creative visualization

• Co-founder of retail AI company Fancy That, which was acquired by Palantir in 2015

• Investor at Spike Ventures, a Silicon Valley VC firm • Ex-Director at Datavisor, an enterprise AI company • Built an online platform used by thousands of

students and instructors to streamline grading • Graduated from Stanford with a BS and MS in

Computer Science, focusing on Artificial Intelligence

CATHERINE LU Faculty Advisor

Team

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• Akshay is a Ph.D. student studying vision science at Stanford University. He earned an undergraduate degree in Computer Science and Cognitive Science from the University of California, Berkeley, where he wrote his thesis on predicting neural activity from human brain scans.

• His research focuses on understanding what computations the human brain performs to give rise to perception. 

• Akshay is passionate about teaching and has helped design and teach several courses at UC Berkeley and Stanford, on topics ranging from computer vision to neurobiology to the science of meditation.

• Peter is a PhD student in Bioengineering at Stanford University specializing in biomedical data science. He also completed his Masters in Computer Science at Stanford University and undergraduate degree in Computer Science at Rice University.

• His work includes developing AI-powered mobile therapies for children with autism, using machine learning and crowdsourcing for automatic video-powered diagnosis of complex neuropsychiatric conditions, and using bioinformatics to determine the genetic causes of complex polygenic conditions.

• Sandra is a graduate student at Stanford University focused on applying Artificial Intelligence to various domains. She completed her undergraduate studies at Brown University, majoring Computer Science and Economics.

• Sandra is a Teaching Assistant for the premier machine learning course at Brown.

• Worked as a business analyst at McKinsey and Co. and a software engineer at J.P. Morgan.

• She hails from Seoul, and aside from Artificial Intelligence, is passionate about travel and learning about different cultures.

AKSHAY JAGADEESH Instructor

SANDRA HA Instructor

PETER WASHINGTON Instructor

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• Master’s student at Stanford University in the Management Science and Engineering program.

• She is passionate about teaching, and has taught high school math and science, as well as assisted in teaching CS courses at Stanford including Computer Systems.

• Having studied computational neuroscience for her BS, she is especially excited about applications of AI in healthcare.

• She is currently working with a group in the Department of Biomedical Informatics to predict future cases of lymphoma.

• Graduated from MIT with a degree in Computer Science and Biology and is currently in the UK doing graduate work in machine learning under the prestigious Marshall Scholarship.

• Applied AI to genomics with the goal of mapping every cell in the human body.

• A researcher in multiple AI labs at MIT, Aviv Regev’s lab and Sangeeta Bhatia’s lab.

SARAH EGLER Instructor

ARTEM TROTSYUK Instructor

ANNA SAPPINGTON Instructor

• Third year PhD student in Bioengineering at Stanford University, working with Professors Geoffrey Gurtner and Zhenan Bao.

• Research work focuses on designing and developing AI-powered smart bandages with a closed-loop system for personalized medicine.

• Bachelors of Science from the University of California, Davis with a focus on biology and minors in communication and writing.

• His undergraduate research project focused on using adult stem cells for liver regeneration.

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The program is designed as a highly-interactive and experiential introduction to Artificial Intelligence delivered entirely online.

Students will learn about cutting-edge AI technologies like Computer Vision, Natural Language Processing, Deep Learning, Recommendation Engines

Students will understand modern applications such as speech-recognition, machine translation, automated medical imaging, and autonomous vehicles Students will work on a mentor-led socially impactful AI project from a domain such as healthcare, agriculture, transportation, disaster-relief, etc. Student interests will be considered in matching them to projects.

Program Structure

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In the first half of the program, students will understand applications, foundational concepts, and develop AI programming skills through live video classes and collaborative activities.

PROGRAMMING SKILLSAPPLICATIONS

Curriculum: Part 1

We will start each day with a session on applications. E.g. “How can AI help doctors?” or “How does Alexa work?”

We will pick important machine learning algorithms, and provide conceptual intuition. E.g. Neural Networks, Decision Trees

We will guide students to implement mini-projects using Python. E.g. Classifying breast cancer tumors using computer vision

CONCEPTUAL INTUITION

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All time slots will follow the same structure.

Sample Schedule: Part 1

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In the second half of the program, students will apply the AI programming skills they learned in part 1 on a mentor-led AI for Social Good project, and will also go through virtual college and career preparation workshops.

*Application form asks students to specify an AI project they would like to work on. Student input will be considered in picking fun and meaningful projects

Workshops will include gaining inspiration from successful Stanford college essays, preparing for top-ranked CS/AI programs in the US, and pursuing ventures or careers in AI. A digital poster making workshop will help teach students how to document and communicate their project experiences.

Students will work in teams of 3 – 4 to build an AI application under the guidance of a mentor. Project options and datasets will be previously chosen by instructors* to maximize learning. Students preferences will be considered. Students will gain access to 6+ complete projects in various domains on our online portal to continue to develop their AI skills after the program.

AI FOR SOCIAL GOOD PROJECT COLLEGE AND CAREER WORKSHOPS

Curriculum: Part 2

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Sample Schedule: Part 2

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All time slots will follow the same structure.

Projects will draw inspiration from topical examples relevant to various industries.

Transportation: AI for Distracted Driver Detection

According to the National Highway Traffic Safety Administration (NHTSA) 3,450 people were killed in 2016 due to motor vehicle crashes involving distracted drivers. Innovations in Smart Car trends using AI allow distracted driver detection through a dashboard camera that can alert drivers in dangerous situations (e.g. when falling asleep). We would build deep learning models to accomplish this.

Healthcare: AI for Eye Disease Diagnosis

Diabetic retinopathy is a dangerous eye condition that can lead to blindness if untreated. Detecting the disease typically requires a specialist eye doctor, and only 11 eye doctors exists for every 1 million people in India*. The use of computer vision models can automate this process allowing significantly more patients to be screened. We would work with deep learning models for detecting various health conditions.

AI For Social Good Project

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Teaching Style

Student teacher ratio of 4:1 to ensure personalized and highly interactive learning experience through live video classes

Design School-based teaching approach to stimulate creativity and cross-disciplinary thinking

Live video classes supplemented by an online portal with additional activities and resources for continuous learning

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Student Takeaways

AI Project Presentation: Students present their project work to peers and instructors on the final day. They gain access to an online platform for continuous learning after the program, including additional projects in a variety of domains.

Certificate of Achievement awarded to students for the successful completion of the AI Scholars Program, signed by program advisors. This will be mailed to students.

Individualized Feedback Card for students with qualitative assessment of strengths and opportunity areas.

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PROGRAM CONTACTS

Lucas Hornsby Phone: +1 (917) 371-8971 Email: lhornsby@stanford.edu

Cade Crow Phone: +1 (214) 707-9047 Email: cadecrow@stanford.edu

Got Questions?

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