Autonomy, Simulation and Networks
Our Autonomy, Simulation and Networks research falls into multiple themes including Autonomous Systems, Big Data, Information Computing Technologies, Modelling, Network Science and Technology, and Sensors. Several of these can be explored below:
Autonomy is at the core of modern complex systems as, increasingly, these systems are required to decide for themselves what to do and when to do it. Such decisions are left to the systems when direct human control becomes infeasible (since the environments are too distant or dangerous), impossible (since humans are not capable of reacting quickly enough), or too expensive.
Being able to analyse large datasets and capture value from doing so will become of vital importance to business, underpinning new waves of productivity, operational efficiency, innovation and growth. But it will also benefit society in ways as diverse as preventing pandemics and running government services more efficiently.