Rapid leaps in AI methods are accelerating comminution modelling

In recent years, artificial intelligence has been revolutionising many fields, including comminution, by predictive modelling, AI driven calibration, optimisation and process control or via the use of surrogate models. 

By building quick to apply digital twins of experiments, simulations or translations of both, iteration speeds can be leveraged by orders of magnitude.  Very recently, in addition to these narrow AI systems, specialising on one task only, another kind of general purpose AI, of much greater impact, is emerging. 

Many researchers see these generative AI systems such as large language models (LLM) or large multi-modal models as well as diffusion models, as early examples of the holy grail of AI research, Artificial General Intelligence (AGI).  

In a keynote lecture at Comminution '25, Carsten Schilde, Heisenberg-Professor at TU Braunschweig, Germany, will give an overview of both narrow AI as well as general purpose AI, showing practical examples of surrogate and predictive models as well as LLM and agent based systems in comminution.

Prof. Schilde is the 2019 holder of the Friedrich Löffler Award in recognition of outstanding achievements in the field of particle technology, particularly in the area of experimental and digital methods and in relation to technically relevant particle systems.

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