“Hardly anyone understands the possibilities of artificial intelligence. And almost everyone imagines something wrong: robots!”
Sure: we’re examining traffic in Dublin and Warsaw. Sensors measure traffic flow in the streets, in Warsaw also in streetcars, and count the number of mobile phones registered in a radio cell. We have also evaluated recent social media posts. For example, when someone posts they are stuck in a traffic jam. Or when people on Twitter interact about upcoming concerts or sporting events, which will have an impact on traffic.
Through machine learning, we are able to predict when and where jams occur. It’s not just about passenger cars, it’s also about streetcars. This allows us to predict traffic anywhere in the city at any time and divert road users in real time right around the traffic jams.
Correct. This is why we are working on an auction type model that distributes different route recommendations, so each driver receives an individual route to avoid making new traffic jams out of the diversion.
Engineers plan processes according to natural laws. That is, under known conditions, the behavior of a machine or process is firmly defined. We, on the other hand, collect the data of each individual process. In the case of Industry 4.0, for example, to forecast success in terms of a production result. There are many factors that are not fully known or controllable, such as weather, room temperature, and humidity. How all these parameters affect a manufacturing process, for example, can only be recognized with data from the individual processes. The model that is machine-learned from the data thus complements the engineering model and can readjust and control in real time.
Created as a discipline in Dartmouth in 1959, artificial intelligence (AI) stirred up public controversy by winning games that required intelligence. AI focuses on games, planning, computer-assisted proofs, robotics and the comprehension and generation of natural language, images and videos. Machine learning can improve all these capabilities and is the fastest-growing sub-discipline of AI.