Using Edge Machine Learning to Save Power and Development Time

Learn how to leverage machine learning on microcontrollers through this conference talk from NDC TechTown in Kongsberg, Norway. Discover why TinyML serves as an energy-efficient alternative to traditional AI technologies, particularly for sensor processing applications. Explore practical approaches to implementing machine learning techniques on edge devices, understanding both the power-saving benefits and development efficiency gains. Gain insights into how embedded ML solutions can optimize resource utilization while delivering superior results compared to conventional programming methods. Master the fundamentals of edge computing with machine learning, enabling faster and more efficient development of sensor-based applications.