The science behind video and image recognition episode artwork

EPISODE · Nov 22, 2023 · 33 MIN

The science behind video and image recognition

from The Automagic Podcast · host BrainCreators

Digital images and videos pose significant challenges in Artificial Intelligence (AI). These challenges are due to the large amount of visual information available and the complexity of understanding and interpreting visual data. Therefore, in this episode, Jasper Wognum speaks with Cees Snoek.Snoek is a professor of computer science at the University of Amsterdam and directs the Video & Image Sense Lab. In addition, Cees is active as director of the QUVA Lab with Qualcomm, the Atlas Lab with TomTom, and the AIM Lab with the Inception Institute of Artificial Intelligence. As Chief Scientific Officer at Kepler Vision Technologies, a spin-off from the university, Snoek contributes to scientific leadership. Professor Snoek also serves as director at the ELLIS Amsterdam Unit and is scientific director of Amsterdam AI.In this episode, Wognum and Snoek delve into the Netherlands' standing in the realm of AI, examining the profound effects of generative AI. They discuss the evolving regulatory landscape surrounding AI, underscore the pivotal role of digital skills in driving educational transformation, and provide insights on discerning the authentic from the counterfeit in the ever-evolving landscape of AI.

Digital images and videos pose significant challenges in Artificial Intelligence (AI). These challenges are due to the large amount of visual information available and the complexity of understanding and interpreting visual data. Therefore, in this episode, Jasper Wognum speaks with Cees Snoek. Snoek is a professor of computer science at the University of Amsterdam and directs the Video & Image Sense Lab. In addition, Cees is active as director of the QUVA Lab with Qualcomm, the Atlas Lab...

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The science behind video and image recognition

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This episode was published on November 22, 2023.

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Digital images and videos pose significant challenges in Artificial Intelligence (AI). These challenges are due to the large amount of visual information available and the complexity of understanding and interpreting visual data. Therefore, in this...

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