IoT-enabled applications increase tremendously in various sectors, such as transportation, healthcare, education, agriculture, and so forth. These applications sense properties using sensors, perform intelligence, and apply the findings using actuators. Instead of submitting sensor data directly to the cloud, intelligence could be performed with the inclusion of several edge/fog nodes. This improves the privacy and computation time of applications. This talk will provide insights on edge intelligence techniques for such IoT-enabled applications. In addition, a few protocols that are involved in such applications are discussed.

Liebe Kolleg:innen,wir freuen uns, Sie zu einer Sommerausgabe des D!ARC network einladen zu dürfen. Dieses Mal dürfen wir Gabriel Grill von der Michigan Universität (USA) begrüßen. Er stellt unter dem Titel “Constructing Certainty in Machine Learning: On the performativity of accuracy and its hold on the future” seine laufende Dissertationsarbeit vor.