2019 ARTIFICIAL INTELLIGENCE SHOWCASE
4-26-19
Club Week 2018
Our club week this year was such a success! From all of us at Harker AI Club, thank you all for coming out to support us. With your contributions, we raised more than enough to maintain our multiple projects as well as the inspirational speakers that we have the privilege to bring to our school. Thank again to everybody!
Guest Speaker
Dr. George John
We had the privilege of hosting Dr. John, a Stanford professor, who spoke about the application of artificial intelligence, machine learning, and deep learning in the real world.
Wednesday Workshops
We host Wednesday Workshops every week, and handle topics from introduction to Python all the way to linear regression and beyond. Come join us!
First Club Meeting of the 2018-2019 School Year
Our first introduction meeting was such a success! Thanks to everybody that came out and we can't wait to see you all again!
Club Fair 2018
This year's club fair was such a success! Thanks so much to everybody that came out to check us out and play around with our demo. On behalf of all the officers, we thank all of you for the amazing turnout and the triple digit sign-up! We can't wait to get to meet you and get to know you and your programming skills and passions!
Symposium Lower School AI Workshop
AI Club Officer Team
(Cynthia, Natasha, Nishant, Eileen, Joshua, Vani)
Guest Speaker
Dr. Raghu Subramanian
Student Lecture 4:
Decision Trees
Kaushik Shivakumar
February 1, 2018
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Kaushik, a member of AI Club, taught students what decision trees are and how they are used.
Student Lecture 3:
Reinforcement Learning
Ashwin Reddy
January 17, 2018
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In his lecture, Ashwin discussed the importance of Reinforcement Learning and discussed how to implement the algorithm. He also talked about examples of RL in real life.
Student Lecture 2:
Naive Bayes & Logistic Regression +
An AI Research Project
November 3, 2017
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Joshua (a club lecturer) continued upon the material covered in the last lecture. He explained the math and theory behind the Naive Bayes and Logistic Regression models, and showed examples that put these algorithms to use.
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In addition, he talked about his own AI research project that he conducted last year which analyzed people's social media (such as Twitter tweets) using machine learning.
Guest Speaker:
The Future of AI
Firas Abuzaid, Stanford PhD student
November 30, 2017
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Abstract: AI has made incredible advances over the last ten years—in the fields of game playing, medicine, and autonomous driving, to name just a few. It is now en vogue (at least for some) to label AI as the "new electricity", a fundamental utility of society that will impact every industry and shape every aspect of our lives in the near future. The pessimists (such as Elon Musk) warn us that AI's future ubiquity could be dangerous to humanity as we know it; the optimists (such as Andrew Ng) are working to hasten that future. This talk aims to dispel both of these myths; I'll argue that 1) AI is not the "new electricity", and 2) smart AI is nowhere near as dangerous as (what I like to call) "dumb AI"—AI that claims to be smart, but truly isn't. I'll discuss recent work that demonstrates current limitations of deep learning (the techniques that started the recent craze in AI), some of which are fundamental. I'll also discuss why this is not necessarily bad for us as AI enthusiasts, and why there is still significant work to be done in AI research. I'll preview some of the most interesting problems facing AI over the next several years and share my thoughts on how to best address these challenges going forward.
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Firas's talk started with an introduction of himself and his work. Then, he talked about the general theme of AI in the current world, and wne through several real life examples such as playing games such as chess, analyzing the news, and self-driving cars. He specifically talked about the AI algorithms behind playing Atari and the brilliant AlphaGo machine which beat the best Go player in the world. Then, he taught everyone about deep neural networks: starting from the history of neural networks, and then discussed the math and theory behind neural networks, and then showed us several examples of neural networks in use. In the end, he summed up his talk by going over the concepts he discussed as well as providing some insight into the future of AI.
Thank you Firas for a great talk!
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View Firas' presentation slides here:
https://docs.google.com/presentation/d/1igfooCHO_fyCNO9ouqsd-MznlSLKdDBLbRAygWgE96Q
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Student Lecture 1:
Linear Regression
October 19, 2017
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Ashwin (a club lecturer) talked about linear regression. He presented on the math behind linear regression models and implementation, and showed some example linear regression code.
First Club Meeting
October 2, 2017
Our first club meeting was held October 2, 2017. We talked about our upcoming plans for the year, as well as some basic AI concepts and examples. Thank you to everyone who came! We are looking forward to a great year! :)
Club Fair
September 30, 2017
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We hope you were able to stop by our club booth at club fair! If you didn't have a chance to join our club but you are interested, you can sign up here.
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