Scratch-based Artificial Intelligence/Machine Learning
Machine Learning for Kids
https://machinelearningforkids.co.uk/#!/about
This tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them. It provides an easy-to-use guided environment for training machine learning models for classifying text, numbers or recognizing images. This builds on existing efforts to introduce and teach coding to children, by adding these models to Scratch (a widely used educational coding platform), allowing children to create projects and build games with the machine learning models that they've trained.
It is being built by Dale Lane using APIs from IBM Watson Developer Cloud.
mBlock:
Teachable Machine http://www.mblock.cc/doc/en/use-extensions/teachable-machine.html
Machine Learning is not so far-fetching. The Teachable Machine extension can train your sprites to learn things and build artificial neural networks as a human being does. Are you excited?
3) Let's start create. We want the Panda to recognize your emotion based on what it has just been trained.
Cognitive Services http://www.mblock.cc/doc/en/use-extensions/ai.html
Let's try out the new AI blocks and do some fun stuff. We will create a new project to have the Panda recognize your happiness value.
AI In Schools(UK)
http://aiinschools.com/resources/
This scheme of work introduces pupils to the world of Artificial Intelligence (AI), specifically to Machine and Deep Learning. Pupils will learn terminology around Artificial Intelligence and re-enforce computational thinking concepts. Additionally, they will learn how AI is used in specific areas and they will design, test and evaluate their own AI system based on Neural Network principles and also consider the future of AI. Unplugged activities will support the Scheme of Work and there will be a plugged activity when creating their own AI
Curiosity Machine AI Demos
https://www.curiositymachine.org/challenges/?filter_id=7#challenges
Speech Recognition Demo
https://www.cs.cmu.edu/~dst/SpeechDemo/
https://machinelearningforkids.co.uk/#!/about
This tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them. It provides an easy-to-use guided environment for training machine learning models for classifying text, numbers or recognizing images. This builds on existing efforts to introduce and teach coding to children, by adding these models to Scratch (a widely used educational coding platform), allowing children to create projects and build games with the machine learning models that they've trained.
It is being built by Dale Lane using APIs from IBM Watson Developer Cloud.
mBlock:
Teachable Machine http://www.mblock.cc/doc/en/use-extensions/teachable-machine.html
Machine Learning is not so far-fetching. The Teachable Machine extension can train your sprites to learn things and build artificial neural networks as a human being does. Are you excited?
3) Let's start create. We want the Panda to recognize your emotion based on what it has just been trained.
Cognitive Services http://www.mblock.cc/doc/en/use-extensions/ai.html
Let's try out the new AI blocks and do some fun stuff. We will create a new project to have the Panda recognize your happiness value.
AI In Schools(UK)
http://aiinschools.com/resources/
This scheme of work introduces pupils to the world of Artificial Intelligence (AI), specifically to Machine and Deep Learning. Pupils will learn terminology around Artificial Intelligence and re-enforce computational thinking concepts. Additionally, they will learn how AI is used in specific areas and they will design, test and evaluate their own AI system based on Neural Network principles and also consider the future of AI. Unplugged activities will support the Scheme of Work and there will be a plugged activity when creating their own AI
Curiosity Machine AI Demos
https://www.curiositymachine.org/challenges/?filter_id=7#challenges
Speech Recognition Demo
https://www.cs.cmu.edu/~dst/SpeechDemo/
Cognimates:
http://cognimates.me/home/
Launch Cognimates: https://codelab.cognimates.me/
Scratch-based platform for AI education where you can build games, program robots, train their own AI models. Give it a try!
http://cognimates.me/home/
Launch Cognimates: https://codelab.cognimates.me/
Scratch-based platform for AI education where you can build games, program robots, train their own AI models. Give it a try!
E-Craft2 Learn AI Extensions for Snap!
https://ecraft2learn.github.io/ai/
The eCraft2Learn project is developing a set of extensions to the Snap! programming language to enable children (and non-expert programmers) to build AI programs. You can use all the AI blocks after importing this file into Snap! or Snap4Arduino. Or you can see examples of using these blocks inside this Snap! project.
Includes speech recognition, speech synthesis, image recognition, and machine learning blocks.
https://ecraft2learn.github.io/ai/
The eCraft2Learn project is developing a set of extensions to the Snap! programming language to enable children (and non-expert programmers) to build AI programs. You can use all the AI blocks after importing this file into Snap! or Snap4Arduino. Or you can see examples of using these blocks inside this Snap! project.
Includes speech recognition, speech synthesis, image recognition, and machine learning blocks.