About
OKAI was created by a team led by Jiaju Ma,
a student in the Brown
| RISD Dual Degree program, while he was a
Science Center Fellow at Brown University.
The project aims to demystify and introduce Artificial Intelligence
concepts to a broader audience with limited or no background in
computer science. It utilizes web-based interactive graphics and
animations to visualize the working principles of Artificial
Intelligence.
The Team
Support & Media
OKAI was funded by the Science Center through its Fellowship program.
Seed funding for the initial idea was provided by the Brown Arts Initiative Student Grants. The Science Center supported the full development and implementation of the project.
Special thanks to the following people who have supported OKAI:
Dean Oludurotimi Adetunji (Brown)
Professor
Michael Littman (Brown)
Professor Stephanie Castilla (RISD)
Contribute
Hello! We hope that you have enjoyed OKAI! We want to keep
improving this project. If you spot any typos or mistakes, or have
any suggestions, feel free to shoot us an email at
projectokai@gmail.com.
If you want to translate OKAI into your language so that more
people can read it, please let us know! Moreover, if you are a
designer, animator, AI enthusiast, etc, and want to contribute to
this project, contact us! We would love to collaborate with you!
Feel free to also build your own project based on OKAI. Visit our
GitHub repo
to fork or view license information!
References
-
Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning, MIT Press, 2016
-
Michael A. Nielsen, Neural Networks and Deep Learning, Determination Press, 2015
-
Michael Taylor, Neural Networks: A Visual Introduction For Beginners, Blue Windmill Media, 2017
-
Stanford CS231n, Convolutional Neural Networks for Visual Recognition, Stanford University
-
Yann LeCun, Corinna Cortes, and Christopher J.C. Burges, The MNIST Database of Handwritten Digits
-
Andrew Ng, Neural Networks and Deep Learning, deeplearning.ai
Team member avatars are modified from icons made by Freepik from www.flaticon.com and licensed by CC 3.0 BY
Privacy Statement
This website uses Google Analytics to help analyze how visitors use this site. Google Analytics uses “cookies”, which are small text files placed on your computer, to collect standard internet log information and visitor behaviour information in an anonymous form. Note the deliberate emphasis of anonymous, as no personally identifiable information is collected about you.
The anonymous information generated by Google Analytics cookies about your use of this website is transmitted to Google - not to Brown University or any of the team members that have created this site. This information is processed to compile statistical reports on website activity for this site only. We use these reports to evaluate aggregate visitor usage so that we can optimise the content. We do not use these reports for any marketing or any other commercial purposes.
If you wish to opt out of Google Analytics, please click here.