ai scholars 2020 - my path to uni · • 10-day ai bootcamp taught by stanford alumni and graduate...
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AI Scholars 2020AI Camp for High School Students
By Stanford Alumni and Graduate Students
website: inspiritai.com | email: [email protected] | phone: +16502898553
ContentsMissionCore Technologies ExploredTeamBasic InformationProgram StructureCurriculum AI for Social Good ProjectTeaching StyleStudent Outcomes and Feedback
Inspirit AI Scholars 2020
What is Inspirit AI?What do self-driving cars, Alexa, and iPhone's face recognition technology have in common? They are driven by modern advances in Artificial Intelligence. Inspirit AI Scholars is a pre-college enrichment program that exposes curious high school students (Grades 9 - 12) globally to AI, the defining technology of our times. The program is developed and taught exclusively by Stanford alumni and graduate students specializing in AI. Learn more at: www.inspiritai.com
Why Inspirit AI?We started Inspirit AI to inspire students at an early age to understand and apply this powerful technology to improve the world. The potential to apply 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.
Core Technologies Explored
Computer Vision Natural Language Processing
Recommendation Engines
Deep Learning
• Self-driving cars • Facial recognition• Medical diagnosis
• Alexa• Siri• Google Home
• Google Translate• Autocorrect• Chatbots
• Netflix• Spotify• Amazon
Basic InformationProgram duration and costs
• 10-day AI bootcamp taught by Stanford alumni and graduate students• Program ran at several global locations in 2019, and is now coming to the US, Singapore, Dubai,
etc. in summer 2020. • US locations and dates for summer 2020:
o Palo Alto, June 8th – June 19th (Palo Alto High School)o San Francisco, June 22nd – July 3rd (School to be announced)o Boston, July 6th – July 17th (Newton North High School)o Chicago, July 20th – July 31st (University of Chicago Lab Schools)o New York, August 3rd – August 14th (Avenues: The World School)
• Program Fees: $1500Student Background
• High school students from Grades 9 – 12• No programming experience required. Advanced batch for existing programmers.• Students with varied interests. Emphasis on interdisciplinary learning.
Application ProcessPlease fill out the application at www.inspiritai.com. Application deadline: February 29th, 2020
Application Questions: (part of the application on the website)
o Essay Question 1: Why are you interested in joining the Inspirit AI Scholars program? (Recommended: 150 words)
o Essay Question 2: Describe an AI project you would like to work on. (Optional)
Team
Chris PiechFaculty Advisor
Catherine LuProgram 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
Instructors
• Masters in CS from Stanford specializing in Artificial Intelligence. He completed his Bachelors in Computer Science at Cornell University
• Currently the CTO of HoneyBee, a fin-tech startup in San Francisco
• Has 10+ years of experience working in senior engineering and technology management positions at companies like Netscape, Liveops, and Trulia
• Co-founder of IntroRocket and BrightFunnel• Writing a book that explores the technology, the
people, and the story behind some socially impactful machine learning projects around the world
Nisheeth RanjanInstructor
• PhD student at Stanford focused on the intersection of artificial intelligence and neuroscience.
• Pursued research fellowships in the Max-Planck Institute in Leipzig, and then in the Department of Brain and Cognitive Sciences at MIT.
• In the Stanford Memory Lab, he uses biologically plausible computational models, neural data, and animal behavior, in order to formalize the relationship between perception and memory.
• Currently teaches courses on statistics and data science at Stanford University.
Tyler BonnenInstructor
Sandra HaInstructor
• 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.
• 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.
• Hails from Seoul and aside from Artificial Intelligence, is passionate about travel and learning about different cultures.
Instructors
• 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.
• 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.
Artem TrotsyukInstructor
Anna SappingtonInstructor
Sara EglerInstructor
• 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.
Program StructureThe program is designed as a highly-interactive and experiential introduction to Artificial Intelligence
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.
Curriculum Week 1
In week 1 students will understand applications, foundational concepts, and develop AI programming skills.
Applications: We will start each day with a session on applications. E.g. “How can AI help doctors?” or “How does Alexa work?”
Conceptual Intuition: We will pick important machine learning algorithms, and provide conceptual intuition. E.g. Neural Networks, Decision Trees
Programming Skills: We will guide students to implement mini-projects using Python. E.g. Classifying breast cancer tumors using computer vision
Sample Schedule – Week 1The afternoon batch from will follow the same structure.
Curriculum Part 2In week 2, students will apply the AI programming skills they learned in week 1 on a mentor-led AI for Social Good project, and will also go through college and career preparation workshops.
AI for Social Good Project: The 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 factored in.
College and Career Workshops: 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.
*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
Sample Schedule – Week 2The afternoon batch will follow the same structure.
AI for Social Good ProjectProjects 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.
Teaching Style
• Student teacher ratio of 9:1 to ensure personalized and highly interactive learning experience
• Design-school based teaching approach to stimulate creativity and cross-disciplinary thinking
• Student volunteer selected to write a blog post of Inspirit AI experience, which will be shared in Inspirit community and beyond
Student Outcomes and Feedback
• AI Project Presentation: Students present their project work to parents and guests on final day. They receive guidance on completing a shareable digital poster and suggestions to take the project forward.
• Certificate of Achievement awarded to students for the successful completion of the Inspirit AI Summer Camp, signed by program advisors.
• Individualized Feedback Card for students with qualitative assessment of strengths and opportunity areas.
Inspirit AI – GEMS Education, Winter 2019, Dubai
