Fire engine staff optimisation at the London Fire Brigade

Machine Learning / supervised learning / gradient boosted trees / optimisation

By André Richter, ASI Fellow, May 2017 The emergency responses of the London Fire Brigade (LFB) are complex operations involving a variety of specialised skills. Not all skills are shared by all firefighters, so unanticipated disruptions to the team composition (for instance due to sickness) frequently render teams unable to…

What kind of gamer are you?

Machine Learning / clustering / k-means / player behaviour

By Alex Adam, ASI Fellow, May 2017 The video game industry is enormous. By many accounts, it is larger than either the film or music industry and yet it is also much more volatile. Studios can rise to fame in a matter of months and then collapse just as rapidly.…

Tell me more. Tell me better.

“Only someone who understands something absolutely can explain it so no one else can understand it.” -- Rudnicki's Nobel Prize Principle Academic research is wonderful and absolutely fundamental to the progress of humanity in every field. I used to be a researcher myself, and I remember the frustration when, after…