Google has launched the second iteration of its no-code Teachable Machine so that inexperienced users can take their bespoke machine learning (ML) models and apply them to projects such as classroom activities. Teachable Machine 2.0 carries over the features from the original, allowing users to record images and video from a webcam and use them to train ML models for tasks like pattern recognition. Now, these same models can be taken and exported to websites, apps and physical machines. Open source curriculums are making use of the tool to give children their first taste of ML, without the intimidating aspect of learning to code. One such example is a programme run out of MIT's Media Lab by education researcher Blakeley H. Payne for six to 10-year olds.

Google has launched the second iteration of its no-code Teachable Machine so that inexperienced users can take their bespoke machine learning (ML) models and apply them to projects such as classroom activities. Teachable Machine 2.0 carries over the features from the original, allowing users to record images and video from a webcam and use them to train ML models for tasks like pattern recognition. Now, these same models can be taken and exported to websites, apps and physical machines. Open source curriculums are making use of the tool to give children their first taste of ML, without the intimidating aspect of learning to code. One such example is a program run out of MIT's Media Lab by education researcher Blakeley H. Payne for 6 to 10 year olds.