Revolutionizing Embedded Systems with AI: A Discussion on the Latest Developments

In this panel, we will discuss how AI can enhance the design and implementation of embedded systems. Through this discussion, attendees will gain insights into the latest trends and developments in AI, as well as the challenges and opportunities for implementing AI in embedded systems and to assist in developing embedded systems. 

The panelists will share their experiences, research findings, and best practices, providing valuable insights for professionals, academics, and researchers alike. Overall, this panel promises to be a thought-provoking and informative discussion on the cutting-edge developments in the intersection of AI and embedded systems.

Go to Session

The Past, Present, and Future of Embedded Machine Learning (2020)

Pete Warden, from Google's TensorFlow Lite Micro project, will be talking about how machine learning on embedding devices began, and where it's heading. ML has been deployed to microcontrollers and DSPs for many years, but until recently it has been a niche solution for very particular problems. As deep learning has revolutionized the analysis of messy sensor data from cameras, microphones, and accelerometers it has begun to spread across many more applications. He will discuss how voice interfaces are leading the charge for ML on low-power, cheap devices, and what other uses are coming. He'll also look into the future of embedded machine learning to try to predict how hardware, software and applications will be evolving over the next few years.

Go to Session