Springer Keynote on AI for Accessibility and AT and Closing Session

Keynote Speaker: DI Dr. Johannes Kofler, Institute for Integrated Circuits, Quantum Information and Computation Group, Johannes Kepler University Linz 

Johannes Kofler received his PhD in 2008 in theoretical quantum physics from the University of Vienna (sub auspiciis praesidentis). He spent postdocs with Anton Zeilinger (University of Vienna) and Ignacio Cirac (Max Planck Institute for Quantum Optics, Garching/Munich), where he worked on the foundations of quantum mechanics as well as quantum information science. From 2018 to 2023 he has been a researcher in the group of Sepp Hochreiter at the Institute for Machine Learning at JKU Linz, where he applied Deep Learning methods to problems in quantum physics and astronomy. Since 2023, he is a Senior Lecturer in “Quantum Information & Learning” at the Institute for Integrated Circuits at JKU Linz.

Title: The Deep Learning Revolution

Outline: In the last decade, deep learning has established itself as one of the most successful fields of artificial intelligence – with overwhelming success in industrial speech, text, and image processing at information technology giants such as Apple, Google, Meta, Microsoft, and Amazon. It pervades commercial applications in an unprecedented manner and changes our everyday lives. Deep learning is based on new techniques for artificial neural networks as well as the availability of very fast computers and massive data sets. This talk will attempt to provide an overview of the main concepts, architectures, and applications of deep learning.

Closing Session: ICCHP 2026

Chair: Petr Penaz, Teiresias Center, Masaryk University Brno, Czech Republic