What is AI Monday?
In the early 2000 curious minds met regularly on Monday afternoons in Helsinki at so called “Mobile Mondays” to discuss mobile business use cases. In Berlin it was the latest around “location based services” that were shared at the “GEO Mondays“.
In 2017 the founders of Taival re-started the “Monday” tradition in Helsinki – this time with a highly relevant topic of today: Artificial Intelligence. “AI Monday“ was born.
Since autumn 2018 these #aimonday events also take place in Berlin. This is only natural as a Start-up capital and with 54% of all German AI companies the fourth largest global AI hub.
It is also a very logical step to organize such an event in the “Cyber Valley” – the Stuttgart-Tübingen-Karlsruhe region, where AI science and industry come together in a remarkable way. A perfect mix to bring AI in use: a high number of research and science institutions in the field of artificial intelligence, strong support from the state of Baden-Württemberg and of course full business and industry power – especially in Automotive.
We are looking forward to welcome you to one of the next AI Monday Stuttgart events – as guest or speaker.
Four crisp presentations incl. Q&A. Some speaker also demo their AI solutions. Followed by snacks, drinks and networking.
AI curious people, change leaders, businesses with passion for data and disruption.
Share AI-knowledge, exchange and encourage each other on our change journeys.
Cyber Valley c/o Max-Planck-Institut für Intelligente Systeme
, Max-Planck-Ring 4
(Details on how to get there.)
Always Monday after work.
Nov 18, 2019
doors open at 6:30pm, talks start at 7pm. Networking starts at around 8:30pm.
What do I get?
Inspiration, Knowledge, Contacts, Change Leadership Tips, Ideas, Drinks some Snacks.
Professor at University of Stuttgart and Head of Center for Cyber Cognitive Intelligence (CCI), Fraunhofer IPA
Explainable AI – Introduction and Application to Neural Networks
Modern AI applications frequently use deep neural networks to find patterns in large datasets and learn complex relations in the data. The aim of this talk is to introduce a practical method for extracting information on the internal processes from (deep) neural networks. Such information should represent the complex decision making of the neural networks in a simplified, understandable way. For this purpose, simple rules or decision trees are extracted from trained models that allow a user to understand the reasoning of the network, for example by identifying which features are particularly important and how they interact.
Dr. Johannes Stelzer
CEO – Colugo GmbH
Applied AI: two Tübingen stories
Outside the sphere of basic research, there are further exciting activities fueled by artificial intelligence here in Tübingen. In my presentation, I want to introduce you two of these: our startup colugo.ai, which transfers AI solutions to business. Secondly, our AI art collective, where we work on projects relating to digital art generation using AI.
Director Porsche Digital Lab
Co-Founder bei Layer7 AI
Automating quality control with AI
Today, visual quality control is still performed manually by countless workers. In fact, the visual inspection process is expensive, time-consuming, prone to errors and above all exhausting. AI can help to automate this tedious visual control tasks, while simultaneously providing companies with insights about their current, historic and future level of quality.