The resources listed on this page offer supporting information for Module 2 of the AI Explorations course. If you have a resource you'd like to suggest, please complete the form linked here.
AI Curriculum Is Coming for K-12 At Last. What Will It Include?: This article talks about AI curriculum that is developed, or in the process of being developed, for education. 1-15-19
AI Projects: AI project ideas to share with students and teachers. N.D.
Careers with STEM: This website is centered around careers in STEM. There is a great article about AI https://careerswithstem.com.au/what-is-artificial-intelligence/ and also useful quizzes for students https://careerswithstem.com.au/category/quizzes/. N.D.
L.A.-area startup Ozobot is considering adding AI to its coding robot: A leader in development of programmable robots, Ozobot is considering adding AI to its coding robot. 1-12-18
Meet BookBot: Mountain View library’s newest robot helper: BookBot is a creation of Google’s Area 120— an experimental division of the company. The bot is Google’s first personal delivery robot to hit the streets and begin interacting with the public. 3-9-19
These 3 Indian startups are making the most of artificial intelligence!: Learn about three start-ups who use data science and AI. 9-4-18
What will you build with AI on Intel? This site provides multiple articles about ways that AI is being used in business. N.D.
AI Duet can be used for many purposes. It is a great AI resource for music teachers who can have their students explore ways AI can be used in music.
Auto Draw by Experiments With Google: Auto Draw pairs machine learning with drawings from artists to help everyone learn to draw quickly.
Brainly: the social media site for classroom questions. Using Machine Learning algorithms to filter out spam, Brainly allows users to ask homework questions and receive automatic, verified answers from fellow students. The site also helps students collaborate to come up with correct answers on their own.
Cozmo: You can play to develop Cozmo's personality and use Code Lab and Python to further the robot's skills.
Cue Cleverbot: Cue uses block programming, JavaScript and Swift with four different avatars and a vocabulary of 170,000+ words.
Keras: If you are interested in deep learning, data science, and neural networks, you will be excited to learn about Keras. Use the following link to learn how to use Keras: How to build neural network with Keras. Then visit TowardsDataScience to learn more.
What Neural Networks See: This experiment lets you turn on your camera to explore what neural nets see, live, using your camera. Watch the video explainer above to see how each layer of the neural net works.
Seeing AI: A free app that narrates the world around us for those in the low-vision community. It will read UPC codes, documents, faces & emotions and scenery (and more!!) aloud for the user.
Teachable Machine with Google: Train a program to react to your movements using the web camera! It's an incredibly cool demonstration of machine learning.
TensorFlow: Tool that allows your students to tinker with neural networks.
AI and Perception: This brief screencast explains how AI systems perceive information through a process of acquiring, selecting, and interpreting.
The Future of Work: This video shows how work will change in the future. Although people appear to be absent, we are behind the scenes coding and programming computers.
Neural Networks YouTube Channel: 3 Blue 1 Brown hosts this channel devoted to information about neural networks.
Use of AI with Spotify: Spotify's Danielle Lee talks about the company's focus on personalized content for its users and the role AI plays in finding the right thing to listen to at the right time.