tinyML Talks Italy: Better productivity leveraging AI community driven interoperability

tinyML Talks - Italy meetup “Better productivity leveraging AI community driven interoperability“ Danilo Pietro Pau Technical director, IEEE and ST Fellow, System Research and Applications, STMicroelectronics Is artificial intelligence a technological fad? Why are resource-constrained AI and tinyML important? Reviewing the milestones of AI and learning more about the benefits of resource-constrained AI is essential to overcome the limitations of a centralized approach to AI. To address the challenges and opportunities in data processing closer to sensors and in real time, ST offers a unique 5-step method with a set of related tools to automatically deploy pre-trained neural networks on IoT (STM32) and Automotive (SPC58) microcontrollers, as well as machine learning for in-sensor computing.