Explore the potential of TinyML in developing countries through this insightful talk by Pete Warden, Technical Lead of TensorFlow Lite at Google. Discover how machine learning on small, affordable, battery-powered devices can revolutionize fields such as medicine, agriculture, consumer electronics, and wildlife conservation. Learn about the advantages of TinyML in areas with limited data coverage and its adaptability to local conditions and languages. Gain valuable insights into the underlying technology, its applications in Kenya, and the opportunities it presents for researchers and startups. Delve into topics such as embedded systems, multilingual spoken words, African radio, federated learning, and hardware considerations. Get practical advice on getting started with TinyML, including working with microcontrollers, Raspberry Pi, and MicroBit. Understand the challenges and potential solutions for memory constraints in embedded devices, and explore the educational and collaborative aspects of TinyML in the developing world. Read more