What we're about

Deep Learning is currently a big & growing trend in data analysis and prediction - and the main fuel of a new era of Artificial Intelligence (AI). Google, Facebook and others have shown tremendous success in pushing image, object & speech recognition to the next level. 

But Deep Learning can also be used for so many other things! The list of application domains is literally endless.

Although rooted in Neural Network research already in the 1950's, the current trend in Deep Learning is unstoppable, and new approaches and improvements are presented almost every month.

We would like to meet and discuss the latest trends in Deep Learning, Neural Networks and Machine Learning,  and reflect the latest developments, both in industry and in research.

The Vienna Deep Learning meetup is positioned at the cross-over of research to industry - having both a focus on novel methods that are published in such a fast pace, and interesting new applications in the startup and industry world. We usually have 2 speakers from either academia, startups or industry, complemented by a "latest news and hot topics" section. Occasionally we do tutorials about software frameworks and how to use Deep Learning in practice. Each evening ends with networking & discussions over drinks and snacks.
Please find all slides of our past meetups, links to photos and some video recordings of our meetups + a wealth of resources to Deep Learning tutorials and more here: https://github.com/vdlm/meetups
Note that this meetup has an intermediate to advanced level (we have done introductions to Deep Learning and neural networks only in the beginning, but try to repeat the most important concepts regularly).

Upcoming events (1)

Deep Learning: After ChatGPT - Self-reflecting machines || Segment Anything

University of Applied Sciences Technikum Wien

Hi everyone,

please join us for our next Deep Learning meetup on June 15, 2023, hosted by FH Technikum Wien!

We will have Matthias Samwald (MedUni Wien) presenting After ChatGPT: The dawn of machines that self-reflect and self-direct and René Donner (mva.ai) presenting Meta's Segment Anything - Architecture and Use Cases.
*Note that this meetup is limited to 85 people attending. We will cap the registrations at 140 people assuming the usual show-up rate of 60%.*

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Agenda

18:30

  • Introduction by the VDLM organizers
  • Welcome by Sharwin Rezagholi and Christoph Henrichs from FH Technikum Wien and Technikum Wien Academy

18:40

  • After ChatGPT: The dawn of machines that self-reflect and self-direct
    Matthias Samwald, MedUni Wien
    Large language models demonstrate outstanding capabilities, but significant challenges remain regarding their ability to solve complex reasoning tasks, as well as their transparency, robustness, truthfulness and ethical alignment. In this talk, I outline how different strands of research and development—from structured reasoning, evaluation, explainable AI, systems security and ethics—will have to converge to yield powerful new machines that self-direct and self-reflect.

:: Announcements & Job Openings ::
:: Break & Networking ::

20:10

  • Segment Anything - Architecture and Use Cases
    René Donner, mva.ai
    Meta's recent release of Segment Anything has raised the bar for zero-shot segmentation frameworks. Trained on 11 million images and 1.1 billion masks it provides high-quality segmentation masks for subsequent tasks and it can also be prompted to yield different types of segmentations. We will look into the architecture of the system, the different types of tasks it help with and how to use it in practice.

:: Networking ::

21:30 Wrap up & End