Presenter: Dr Gareth Conduit, CSO, Intellegens
Noise is the enemy of machine learning. Noise in the training data leads to uncertain predictions. However, noise can contain physical information, so we introduce a machine learning architecture that can extract crucial information out of noise itself. We apply this formalism to specify two concrete mixes: one has high resistance to carbonation, and the other has low environmental impact. The proposed mixes are experimentally validated.
So watch this webinar to hear how Alchemite improves accuracy, requiring up to 85% fewer experiments to finalize a formulation, saving you time and money.
