Bosch AI CON 2018

Daniel Soudry is an Assistant Professor & Taub Fellow in the Department of Electrical Engineering at the Technion.

His research interests are in the areas of machine learning and theoretical neuroscience.

Dr.-Ing. Michael Bolle was a member of the board of management of Robert Bosch GmbH.

He was chief digital officer and chief technology officer, he was responsible for the corporate sector for research and advance engineering as well as the corporate IT sector. His responsibilities also included the Bosch Software Innovations GmbH subsidiary and corporate technology coordination and engineering methods.

Roland Löffler is a specialist for data analytics and machine learning in the Porsche Development Center in Weissach.

His work focuses on applying AI, machine learning and data analytics in all areas of the vehicle development process.

Tom Wilson has over 25 years of experience in the semiconductor industry, the last 8 years in Advanced Driver Assistance and Autonomous Vehicles.

At Graphcore, he is VP Automotive driving the automotive business for Graphcore’s unique AI processing architecture.

Sepp Hochreiter is the head of the Institute of Machine Learning, LIT AI Lab and Audi.JKU Deep Learning Center at the Johannes Kepler University Linz.

His current research projects include Deep Learning for drug design, for text and language analysis, for vision, and in particular for autonomous driving.

Yasser Jadidi was head of Research at the Bosch Center for Artificial Intelligence, consisting of research teams in Renningen and Palo Alto, and strong academic partnerships with the Delta Lab in Amsterdam and the Cyber Valley initiative in Tübingen.

Prior to joining the Bosch Center for Artificial Intelligence he was group leader in machine learning and leader of the competence segment “Cognitive Systems” in Robert Bosch.

Zico Kolter is an Assistant Professor in the Computer Science Department at Carnegie Mellon University, and Chief Scientist of AI Research at the Bosch Center for AI (BCAI) in Pittsburgh.

His work focuses on machine learning and optimization, with an emphasis on making these method more robust, reliable, and explainable.