QUVA lab celebrates past and looks to future

University of Amsterdam

The UvA’s hugely successful collaboration with Qualcomm – the QUVA Deep Vision Lab – will be celebrated on 6 October with an event marking the lab’s first five years and the announcement of a further five years’ worth of funding. The event will be livestreamed on Tuesday, 6 October, starting at 5 pm CET.

In 2015, the UvA joined forces with world-leading chip-manufacturer Qualcomm to create a research centre in the relatively new field of deep vision: the QUVA lab. Deep vision is a combination of computer vision and deep learning. To teach a computer to see and understand the world around us is a complex and challenging task, but great advances are being made with the help of new machine learning techniques and ever more powerful computers. The QUVA lab researchers look to push the boundaries even further, finding ways to make deep vision possible for mobile devices and the so-called Internet of Things.

Copyright: UvA

Over the past five years our lab has made several contributions that have advanced the state-of-the-art in deep vision. One such example is the lab’s invention of deep Siamese networks for object tracking in video, the use of which has now become standard in object tracking worldwide.
Co-director of the lab, Prof. Cees Snoek

The UvA-Qualcomm collaboration has been a particularly fruitful and important one for the university. The combination of the fundamental research conducted at the UvA’s Informatics Institute and the applied research of a private company like Qualcomm has been especially beneficial to both sides, producing world-class research while at the same time investing in and nurturing new talent. The QUVA lab led the way in this sort of partnership for the UvA and many others have followed in its path since, helping to fully consolidate Amsterdam’s place on the AI map.

The programme for the online celebration includes reflections on QUVA’s achievements so far, its ambitions for the future, a panel discussion on the AI ecosystem, and a keynote address by the University of Helsinki’s Professor Aapo Hyvärinen.

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