Von Daten zu Entdeckungen: Künstliche Intelligenz in der Chemie: ChemGPT statt Labor?

Abstract

Artificial Intelligence (AI) holds great potential in leveraging complex relationships within large datasets. The primary challenge lies in identifying relevant features in abstract data such as molecules, compounds or spectra. Models are trained and tested using supervised or unsupervised learning methods. Active learning and iterative processes enhance accuracy. AI offers the potential for precise predictions and innovation in both research and industry.