Blog

Interview with Prof. Dr. Dr. med. Jens K. Habermann

Prof. Dr. Dr. med. Jens K. Habermann is Commissioner of the Presidium, Interdisciplinary Center for Biobanking-Lübeck (ICB-L) & Director, Section Translational Surgical Oncology and Biobanks, University Lübeck and UKSH, Campus Lübeck. Prof. Dr. Dr. med. Jens K. Habermann on... ... therapy recommendations on the basis of Artificial Intelligence ... how the Healthcare System can profit…
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Introduction to Deep Learning by two pioneers in the field

Andrew Ng, Chief Scientist at Baidu and associate professor at Harvard University gives an online lecture on Deep Learning. This is a very innovative media form and gives great insights into Deep Learning. https://www.coursera.org/learn/machine-learning Michael Nielsen is a scientist and programmer, who published several works on quantum physics and quantum computers. Quantum computers could be…
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Dr. Siegfried Bialojan, Ernst & Young, about the significance of artificial intelligence for biotechnology

Dr. Siegfried Bialojan, Ernst & Young Executive Director and Head Life Science Center Mannheim stressed at the presentation of this year's German Biotechnology Report of EY on 14 June 2016 in Hamburg the significance of artificial intelligence for biotechnology: "The field of artificial intelligence is about bringing together knowledge from endless sources of varying quality…
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Jeff Dean @ “Embedded Vision Summit” in San Francisco

Jeff Dean (Co-Founder of Google Deep Mind) on: -Why deep neural networks? -Examples of using these for solving real problems -TensorFlow: software infrastructure Google uses Deep Learning algorithms for almost every service they offer (Speech recognition, Maps etc.) See Video here: https://www.facebook.com/FUSE.Werbeagentur.Hamburg.Frankfurt/videos/10153664421848741/
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Jeff Bier’s assessment of Embedded Vision Systems in Healthcare

I just had a little chat with Jeff Bier, the founder of Embedded Vision and asked him, how he estimates the chances of intelligent image recognition in healthcare. He says it is possible to achive similar success rates as for example the "Inception v-3 (Arxiv)", with a data set, that is big enough in combination…
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