Using TensorFlow Lite Micro to help Jason find his Rhythm

Many years ago, Pete Warden, Raziel, Rocky, Sarah, Andy and I, with a small and incredible team at Google, founded TensorFlow Lite Micro for the world as we recognized the importance of executing machine learning on microcontrollers. We have continued to scale and contribute significant improvements to TF Lite for Microcontrollers over the years unlocking a multitude of use cases from speech, to person detection, to a multitude of audio detection use cases and more. We have seen the creation of cascading networks where the front of the pipeline is a very low power microcontroller running a tiny inference model all the way through to multi-model pipelines firing up a more significant application processor.

Here is just one incredible story where the team from Georgia Institute of Technology under Gil Weinberg, took the the TensorFlow Lite and TensorFlow Lite Micro work and drove an inspiring use case to help Jason find his rhythm. Watch the video below to understand how TensorFlow Lite is being used to empower human augmentation and empower people to rediscover that anything is possible. If you're running short on time - here's how it works.

As Stephen Hawking once said:

“Remember to look up at the stars and not down at your feet. Try to make sense of what you see and wonder about what makes the Universe exist. Be curious. And however difficult life may seem, there is always something you can do and succeed at.