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AUC Delta Lab
Max Welling at the opening event (photos: Dirk Gillissen)

The aim of this research alliance is to promote stronger exchange between fundamental and applied research through knowledge transfer, thereby generating new knowledge and innovations. The ten PhD students and postdoctoral fellows, led by UvA professors Max Welling and Arnold Smeulders, will work closely with researchers from the Bosch Center for Artificial Intelligence at Bosch’s Renningen research campus. In return, Bosch will send associates to work on joint scientific projects at the UvA.

‘Industrial basic research in the field of artificial intelligence benefits from close contact with academic institutions’, says Dr Michael Bolle, head of research and advance engineering at Bosch. ‘I’m looking forward to working with Professor Max Welling and his team from the University of Amsterdam. Worldwide, he is one of the leading names in the field of deep learning.’

Numerous applications

‘Deep learning allows you to discover hidden structure in data and make predictions based on data’, says Max Welling. ‘The applications are numerous. For instance, think of fully autonomous cars, robots, smart homes and the internet of things.’

For their research projects, the PhD students and postdoctoral fellows will develop mathematical models and algorithms with which machines can learn from information and experience. ‘There is a great demand for smart devices and systems, which in turn only increases the importance of deep learning’, adds Welling. ‘Research findings from Delta Lab may result in applications and products in which Bosch is a global leader.

AUC Delta Lab
Michael Bolle and Karen Maex at the opening of Delta Lab

Arnold Smeulders adds: ‘Computer vision has the largest amount of sensory data. This is why this sub-field of artificial intelligence is one of the most exciting goals for deep learning and why the intersection of deep learning and computer vision is so important. It presents specific challenges to deep learning to learn from the enormous amount of data. There are so many areas in which the results can be applied: in intelligent cameras, self-driving cars, home care, etc. Actually, I wouldn’t know of areas where it could not be applied.’

Important stimulus

The partnership with Bosch acts as a stimulus for research at the UvA’s Informatics Institute. This is the second public-private partnership the institute has entered into. In 2015, the QUVA lab was created, a partnership between the UvA and Qualcomm Technologies, Inc.