Designing Computing Systems for IoT: Follow Your Brain

This lecture by the instructor covers the design of computing systems for the Internet of Things (IoT), focusing on the convergence of powerful embedded systems with cloud systems in the era of big data. It explores the challenges and opportunities in healthcare, transportation, and production, emphasizing the need for energy-efficient and self-learning systems. The lecture delves into case studies on wearables in healthcare, event-based sampling in edge AI wearables, and the application of brain-inspired computing features. It also discusses the development of new technologies like the Thermosyphon for energy-free cooling in many-core servers and the PowerCool system for integrated power and cooling delivery. The presentation concludes with insights on improving data center efficiency by following the brain's energy-efficient computing principles.