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Event-Tipp: 42nd Deep Learning Meetup in Vienna (in-person!)

  • Autorenbild: Simon Schwaiger
    Simon Schwaiger
  • 2. Nov. 2021
  • 2 Min. Lesezeit

Aktualisiert: 13. Okt. 2023

Liebe AI-Enthusiast*innen!


Am 09. November 2021 findet das Vienna Deep Learning Meetup wieder in Person statt!



Details des Veranstalters:

Dear Deep Learning community,


It is our pleasure to invite you to the first in-person VDLM in 1.5 years! It will take place at FH Technikum Wien, but also online - so it is a hybrid event with your choice of joining us online or at the venue.


Our Agenda for this meetup:


18:30 - 18:45 Welcome & Introduction

18:45 - 19:20 Deep Learning in Medical Imaging Applications

19:20 - 19:25 Announcements

(break)

20:00 - 20:15 Trends from Silicon Valley: Deep Learning and Mobility

20:15 - 20:30 Hot Topics and Latest News in Deep Learning

20:30 - 21:30 Networking


Details:


Talk 1: Deep Learning in Medical Imaging Applications - Isabel Dregely


Machine learning and in particular Deep Learning is a key driver in enabling a transition from qualitative to quantitative imaging biomarkers and towards personalized medicine. Using the example of Magnetic Resonance Imaging, this talk will show how deep learning has been applied to the entire image processing chain, from acquisition, image reconstruction to image analysis and disease prediction to enable faster image exams and more reproducible results.


Isabel Dregely has studied physics. Her research interest is in developing new methods for medical imaging. One example is encoding functional information into image data to not just detect cancer on images but further be able to assess aggressiveness. She has been a researcher at Harvard in Boston, UC Los Angeles, TU München and King’s College in London. Since June 2021 she is leading a team in teaching and research in many applications of data analytics and AI at the FH Technikum Wien.


Talk 2: Trends from Silicon Valley: Deep Learning and Mobility


This short talk presents a brief overview of the trends in Silicon Valley, followed by specific DL and AI applications in the mobility sector, focusing on selected startups.


Dr. Georg Fuerlinger received his doctorate from the Technical University of Vienna and holds a master's degree in international business from the Vienna University of Economics and Business. He established the Austrian Innovation Office in Silicon Valley from[masked], as part of the Austrian Trade Commission. Georg and his team supported more than 1000 new and established companies with their US market entry strategy as well as with technology, partner and investor search in Silicon Valley. He previously worked with Stanford University's startup accelerator StartX and was a lecturer at the New York Institute of Technology. He is co-author of the book "Abseits von Silicon Valley" (Beyond Silicon Valley) and advises, publishes and presents in the areas of innovation, entrepreneurship and technology trends.


Talk 3: Hot Topics and Latest News in Deep Learning

presented by Michael Pieler


Our regular section to present you the latest & hottest research output in Deep Learning in a quick way.


After the talks we'll have time for networking amongst the community. FH Technikum will kindly provide drinks and snacks!


Looking forward to seeing you in real-life again!

The Zoom link for online participation will be shared shortly before the event.


Tom, René, Jan, Alex - Organizers, Vienna Deep Learning Meetup

Rafael Rasinger, Simone Zeller - FH Technikum Wien

8 Kommentare


Daniel Roberto
Daniel Roberto
vor 6 Stunden

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Mi recomendación es abordar cada sesión como un proceso progresivo: observar patrones con objetividad y…

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newmansbryants
27. Apr.

برنامج-طبي-متكامل

The pursuit of excellence in healthcare within Saudi Arabia is no longer limited to the quality of medical diagnosis alone. Today, patient satisfaction is closely linked to the ease and speed of the treatment journey, from booking an appointment to receiving a prescription. In this context, a comprehensive medical program emerges as an indispensable tool for any clinic aspiring to remain competitive and grow.

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Alena Walker
Alena Walker
23. Apr.

It is fascinating to see how deep learning continues to evolve through these meetups, especially since the mathematical foundations are so intense. I remember getting completely stuck on the derivative modeling for a similar project last semester and needing some calculus assignment help just to get the algorithms working correctly. It really goes to show that even the most advanced tech depends on a solid grasp of those core principles!

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John Thomas
John Thomas
22. Apr.

It is exciting to see the 42nd Deep Learning Meetup happening in Vienna, as staying at the forefront of neural network innovations is a constant priority for me while I navigate the intensive rigors of my current PhD research. Balancing my doctoral studies with a part-time role at last minute assignments has given me a front-row seat to the modern student experience, where complex coding challenges and algorithmic theory often clash with overwhelming deadlines and the mental pressure to succeed; having suffered through many high-stress hustles and sleepless nights during my own college days, I am now incredibly conscious of the mental toll that an unmanaged workload can take on one’s stability. This personal history is why I have such…

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Joseph Nik.
Joseph Nik.
19. Apr.

The deep learning meetup announcement feels exciting and useful for people interested in AI. It shows how learning communities grow. I remember when I needed hire someone to take my chemistry exams during a busy time, and it helped me stay on track. This post shows how sharing knowledge is important. Nice post, it make me smile.

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