Speaker
Description
As scientists, we frequently encounter the challenge of conveying complex research topics to a general audience. A prime example of this complexity is the field of artificial intelligence, which is currently undergoing unprecedented advancements - and many of these evolutions are hard to grasp for those not immersed in the community. When combined with other state-of-the-art developments, such as in the field of extreme edge computing, how can research still be made accessible to a wider public?
Our project steps into this space. We developed a novel approach that allows to distribute AI algorithms in a self-regulated manner across multiple devices within a wireless ad-hoc network. The network remains stable against connectivity fluctations as, owed to its intelligent architecture, tasks can be redistributed automatically. In this process, not only one device takes over the execution of the neural network, but multiple nodes compute the task cooperatively.
Convince yourself of the functionality of our approach with our interactive demonstrator. Observe how your own handwriting is processed, analyzed and evaluated in a distributed computing process. Intervene in the action yourself by controlling and regulating the individual devices.
