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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture discusses the evolution of cloud computing to support IoT, emphasizing the shift towards software as a service (SaaS) for implementing complex artificial intelligence applications on data from smart IoT sensors. The importance of advanced data processing and machine learning on cloud platforms is highlighted, along with the business perspective of offering higher services for increased revenue. Examples in various domains, such as image and audio processing, demonstrate the significance of automatic filtering using deep learning and Edge A.I. devices. The lecture also explores challenges faced by deep learning algorithms, emphasizing the need for high-quality data and effective pre-filtering to prevent confusion. Overall, the discussion underscores the crucial role of Edge IoT platforms in enabling successful cloud-based deep learning applications.