ai scholars winter 2019€¦ · • 8-day ai bootcamp taught by stanford alumni who travel to dubai...
TRANSCRIPT
AI Scholars Winter 2019AI Camp for High School Students
By Stanford Alumni and Graduate Students
website: inspiritai.com | email: [email protected] | phone: +1(650) 289-8553
ContentsMissionCore Technologies ExploredTeamBasic InformationProgram StructureCurriculum AI for Social Good ProjectTeaching StyleStudent Outcomes and Feedback
Inspirit AI Scholars 2019
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 and early college students globally to AI, the defining technology of our times. The program is developed and taught exclusively by Stanford alumni and graduate students who travel to Dubai this Winter to teach. 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 at Stanford University to empower 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
• 8-day AI bootcamp taught by Stanford alumni who travel to Dubai to teach• Program ran at leading international schools in India this summer• Location: Emirates Academy, Dubai• Dates: December 15th to December 23rd 2019 (December 20th is off)• Timings: 8am – 12 Noon or 1:30pm – 5:30pm• Program Costs:
o $1000 (GEMS students)o $1200 (outside students)
• Boarding Option (all meals)o $500 (double occupancy)o $700 (single occupancy)
Admitted candidates will be emailed a link for online payment
Student Background• High school students from 9th – 12th grade • No programming experience required. • Advanced batch for existing programmers.• Students with varied interests. Emphasis on interdisciplinary learning
BoardingLocation: Emirates Academy of Hospitality Management
Facilities: The Emirates Academy is located in the prestigious residential and luxury hotels area on the coast of Dubai, right opposite world-famous Burj Al Arab Jumeirah, Jumeirah Beach Hotel and Wild Wadi Water Park.
We offer students a fully furnished on-campus single studio or double studio accommodation consisting of an en-suite bathroom, kitchen, bed and study areas. There are 2 cafes on-campus serving a variety of different cuisines and also a number of restaurants and activities in the vicinity.
Amenities include:- Pool area- Game room- Tennis courts- On-campus cafes- Library and study spaces
All meals are provided as part of the boarding option.
Application ProcessPlease fill out the application at www.inspiritai.com.
The application deadline is November 20th, 2019
Application Questions: (part of the application link above)
o Essay Question 1: Why are you interested in joining the Inspirit AI Scholars program? (Recommended: 150 words)
o Essay Question 2 (optional): What is an AI project you’d be excited to work on?
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 the Stanford 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
• Sarah is a 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.
• Artem is a second year PhD student in Bioengineering at Stanford University, working with Professors Geoffrey Gurtner and Zhenan Bao. Artem’s research work focuses on designing and developing AI-powered smart bandages with a closed-loop system for personalized medicine.
• Artem received a 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
• Anna graduated from MIT with a degree in Computer Science and Biology and is about to head to the UK to do graduate work in machine learning under the prestigious Marshall Scholarship.
• She has applied AI to genomics with the goal of mapping every cell in the human body. Anna was part of multiple AI labs at MIT including Aviv Regev’s lab and Sangeeta Bhatia’s lab.
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
• Master’s student at Stanford University specializing in Artificial Intelligence
• Currently a researcher in Andrew Ng’s Stanford Machine Learning group
• Expertise in Deep Learning based Computer Vision and NLP applications
• Founded a startup in Sweden, Knowly, that works with leading global corporations
• Passion for teaching: has previously designed and taught courses for college students
• Master’s student at Stanford University in the Management Science and Engineering program, focused on applied Artificial Intelligence
• Worked on Deep Learning applications at Agshift, an autonomous food inspection company
• Worked on data science consulting for large global corporations including Banana Republic, Gap and Redbox
• Assisted in teaching several technology entrepreneurship and design-thinking courses at Stanford.
• Participating in new Stanford course, “Teaching AI”
Nisheeth RanjanInstructor
Henrik MarklundInstructor
Adeesh GoelInstructor
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 – Part 1In first half 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
Schedule – Part 1
The afternoon batch will follow the same structure.
Curriculum – Part 2In second half, 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
Schedule – Part 2
The 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.
AI for Social Good ProjectProjects will draw inspiration from topical examples relevant to various industries.Government: AI for Crowd Control
Computer Vision was employed with over 1000 CCTV cameras to monitor the largest gathering of humans on earth. While we won’t be able to build a production-level system so quickly, our students may work with crowd image data and build a model to extract human counts from it, which can be critical for crowd management tasks.
Agriculture: AI for Crop Yield Forecasting
Crop yield forecasting plays a vital role in ensuring famer security. Uncertain yields can lead to uncertain prices, and often leave farmers in a devastating predicament. Using satellite imagery we can predict crop yields much before they actually occur. This project would guide students to build a computer vision model to do so.
Teaching Style
• Student teacher ratio of 9:1 to ensure personalized and highly interactive learning experience
• Stanford 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 Stanford 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 Scholars Camp, signed by Stanford University Program Advisors.
• Individualized Feedback Card for students with qualitative assessment of strengths and opportunity areas.
“It was an outstanding experience. The instructors did a great job of explaining challenging concepts in a simple, fun and interactive manner. This course has inspired me to work on an AI project on fake news.”
“I liked the hands-on approach of the course and the fact that we made a project fusing techniques we learned in camp.”
“Being a complete beginner when it comes to programming, I hardly felt the stress or difficulty get to me because the instructors were highly understanding and helpful.”
“The camp has been a great experience for me and this helped me a lot in learning the basics of AI and making me know what exactly I have to pursue in my career.”
Student Feedback
