Starting on Friday, 13 March, the Fridays’ AI Talks relaunch for four consecutive Fridays on the topic “Can Computers Understand What Is Happening? An Introduction to Complex Event Recognition.”
Presenter:
Abstract:
Complex Event Recognition (CER) refers to the activity of detecting patterns in streams of continuously arriving “event” data over (geographically) distributed sources. CER is a key ingredient of many contemporary Big Data applications that require the processing of such event streams in order to obtain timely insights and implement reactive and proactive measures. Examples of such applications include the recognition of human activities on video content, emerging stories and trends on the Social Web, traffic and transport incidents in smart cities, error conditions in smart energy grids, violations of maritime regulations, cardiac arrhythmias and epidemic spread. In each application, CER allows to make sense of streaming data, react accordingly, and prepare for counter-measures. In this course, we will present formal methods for CER, and illustrate them using the domain of maritime situational awareness.
Lectures schedule:
The topic will be covered in four Friday AI talks scheduled as follows:
Friday 13/3 18:30-20:00 Online - Lecture 1 : A Tutorial on Complex Event Recognition (CER)
Friday 3/4 18:30-20:00 Online - Lecture 2: The Run-Time Event Calculus
Monday 6/4 18:30-20:00 Online - Lecture 3: Probabilistic Complex Event Recognition
Friday 24/4 18:30-20:00 Physical presence - Lecture 4: Complex Events Forecasting
Monday 6/4 18:30-20:00 Online - Lecture 3: Probabilistic Complex Event Recognition
Friday 24/4 18:30-20:00 Physical presence - Lecture 4: Complex Events Forecasting
The link for attending the lectures and the room at the NCSR Demokritos campus will be announced in due time to all people registered.
Registrations
To register please follow this link: https://us02web.zoom.us/meeting/register/00Sa0ZSLS16FpP_gIhk3mw
Attendees register once and can attend any of the online lectures.
