Opening the black box

We are at a special point in the history of AI, where we are realising that more and more milestones are being reached by AI in an ever shorter time. This exponential development, in terms of the potential of AI systems, goes hand in hand with an ever-increasing hunger for data and energy, meaning that the nuclear industry has a special role to play here: on the one hand, it is seen as a partial solution to energy requirements, while on the other, it is asking itself how artificial intelligence can add value to its own processes. It often helps to take a look at the available data, as this is central to all AI approaches, but is not always available in sufficient quantity and quality. 

This is why people are looking with interest at forward-looking AI directions: Neurosymbolic AI promises to produce better results with far less data requirements in some cases, while at the same time shedding light on the closed, non-transparent AI models - a win-win situation for everyone involved.

Prof Dr Thomas Kopinski explained in this concentrated lecture why AI does not have to remain incomprehensible and how current AI research is also opening up modern paths for the nuclear industry.