AI, Machine Learning & Natural Language Processing (NLP), FHNW School of Computer Science

Our research in the field of AI, Machine Learning & Natural Language Processing (NLP) is diverse, practice-oriented and methodologically broad-based – with a particular focus on Deep Learning as the technological core.

We conduct research in the following areas:

• Deep Learning methods for pattern recognition, forecasting, classification and fake detection, particularly in connection with image processing (see below)
• Generative AI (GenAI), for example for text, image or code generation as well as simulation-based forecasting
• Agent-based AI systems (Agentic AI) with autonomous decision-making capabilities

• Natural Language Processing (NLP) using state-of-the-art language models (Large Language Models, LLMs), in particular in connection with the translation of Swiss German.

• Recommender systems and data-driven decision models

• Time series analysis and hybrid approaches combining data-driven and physics-based modelling.

Our projects are interdisciplinary and consistently geared towards concrete applications – in close collaboration with partners from industry, the public sector and academia.