KidsLab - a podcast for parents and educators passionate about STEAM education

Machine Learning for Kids with Dale Lane

July 06, 2020 Dale Lane
Machine Learning for Kids with Dale Lane
KidsLab - a podcast for parents and educators passionate about STEAM education
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KidsLab - a podcast for parents and educators passionate about STEAM education
Machine Learning for Kids with Dale Lane
Jul 06, 2020
Dale Lane

I am talking to Dale Lane, the creator of Machine Learning for Kids - an extension to Scratch that allows kids to train their own ML models and use them from their Scratch programs.

As Dale writes on his website, he’s a father of two exhausting kids, a software developer for IBM in the UK, a mobile and gadget obsessive, a charity trustee and an all-round geek. 

Dale is with IBM for more than 16 years now. During his career, he came across many of IBM’s Artificial Intelligence and Machine Learning offerings, such as IBM Watson. While his work at IBM most definitely prepared him to build something like Machine Learning for Kids, this educational offering was built entirely in his free time.

So what exactly is Machine Learning for Kids? It allows kids to train their own machine learning models to recognise  text, numbers, images, or sounds. Just years ago this was only possible for developers with specialized knowledge - making this learning available to kids is absolutely phenomenal. The trained models can later be used in Scratch, which then combines Machine Learning with visual, block-based coding. After integrating with Scratch, Kids can simply drag visual code blocks into the editor to make use of the machine learning models. 

Show Notes

I am talking to Dale Lane, the creator of Machine Learning for Kids - an extension to Scratch that allows kids to train their own ML models and use them from their Scratch programs.

As Dale writes on his website, he’s a father of two exhausting kids, a software developer for IBM in the UK, a mobile and gadget obsessive, a charity trustee and an all-round geek. 

Dale is with IBM for more than 16 years now. During his career, he came across many of IBM’s Artificial Intelligence and Machine Learning offerings, such as IBM Watson. While his work at IBM most definitely prepared him to build something like Machine Learning for Kids, this educational offering was built entirely in his free time.

So what exactly is Machine Learning for Kids? It allows kids to train their own machine learning models to recognise  text, numbers, images, or sounds. Just years ago this was only possible for developers with specialized knowledge - making this learning available to kids is absolutely phenomenal. The trained models can later be used in Scratch, which then combines Machine Learning with visual, block-based coding. After integrating with Scratch, Kids can simply drag visual code blocks into the editor to make use of the machine learning models.