#rp25 speaker Fatma Deniz: NeuroAI - Language Representations in Humans and Machines

Fatma Deniz explores the brain representations behind language comprehension and discusses how these insights can inform the development of artificial intelligence systems.

Language comprehension in humans involves intricate neural networks that process meaning through both written text and spoken words. Fatma Deniz investigates the processes behind that. Her research reveals that semantic processing is represented in similar brain regions.

At #rp25 she will bridge neuroscience and artificial intelligence and offer answers to the question of how findings from brain research can contribute to the explanation and optimization of large language models - and what this means for practical applications for the treatment of speech disorders and the development of AI systems with human-like language capabilities.

Fatma Deniz is a leading neuroscientist and computer scientist whose research bridges neuroscience, artificial intelligence, and data science. She uses advanced machine learning and brain imaging techniques to investigate how complex information is encoded in the brain during natural language, and what insights this offers for the explainability of artificial intelligence systems. She is currently a Full Professor in Computer Science at the Technische Universität Berlin and Vice President for Digitalization and Sustainability.