Voice assistants, cloud services, and smart applications: the future technologies of Artificial Intelligence are playing an increasingly important role in many areas of society, especially research. In our interdisciplinary and digital Living Lab Lecture Series, current and topical issues are examined from different perspectives.

The Living Lab Lecture Series has started with the topic „Ethics and Moral Code in Artificial Intelligence“, discussing transparency, privacy, and data protection in AI systems. Further lectures by researchers from ScaDS.AI Dresden/Leipzig will follow every first Thursday of the month and will deal with different aspects of Data Science, Big Data, Data Analytics, Machine Learning, Modeling Human-Environment Relationships and more. The digital events will take place as part of the ScaDS.AI Living Lab, with locations in Dresden and Leipzig. The aim of the Living Lab is to use demonstrators and interactive demonstrations to show how Big Data analytics, machine learning algorithms, and AI systems are used in our everyday lives. Together, we invite our visitors to engage with Data Science and AI alongside us. The interdisciplinary lecture series, which can be attended free of charge and without registration, offers an initial discussion platform for this purpose.

Events in the Living Lab Lecture Series

Upcoming Lectures

• will be announced soon

Previous Lectures

• 04.07.2024: Beyond the Surface – Leveraging NLP to Map Global Natural Hazard Impacts
• 20.06.2024: Variational Autoencoder – How Asterix pushes data from high- to low dimensional representation
• 06.06.2024: Precision and Recall: Integrating Knowledge Graphs and Language Models
• 04.04.2024: Large Language Models for Bio-image Analysis
• 14.09.2023: How to Design Logic-Based Decision Assistants – Performance vs. Expressiveness
• 01.06.2023: Immersive Analysis of Trajectories Utilizing the Unreal Engine
• 13.04.2023: Compilation of Emerging Near-Memory and In-Memory Computing Architectures
• 02.03.2023: Uncertainty-Aware Visual Analytics in Life Sciences
• 02.02.2023: Touch Events Recognition on Smart Robotic Skin Sensor Using Deep Learning
• 05.01.2023: Graph Multi-Cuts and Image Analysis
• 08.12.2022: Security Research: Intrusion Detection
• 03.11.2022: Parallel and Distributed Deep Learning
• 06.10.2022: Artificial Intelligence in Process Mining
• 01.09.2022: Big Data Context Awareness By Drift Detection
• 04.08.2022: Interpretable AI for Classification Learning – Towards Model Trustworthiness
• 07.07.2022: FloodVis – Visualization of Climate Ensemble Flood Projections in Virtual Reality
• 09.06.2022: Privacy-Preserving Data Processing
• 04.05.2022: Ethics and AI – A Complicated Relationship?
• 07.04.2022: Language Models for Code Generation
• 03.03.2022: Physics-informed Machine Learning to Optimize 3D Printing Processes
• 03.02.2022: Big Data Performance Analysis
• 02.12.2021: Privacy-Preserving Record Linkage
• 11.11.2021: Natural Language Processing (NLP)
• 14.10.2021: Abstract Argumentation Frameworks
• 09.09.2021: Hyperparameter Optimization
• 05.08.2021: Temporal Graph Analysis
• 01.07.2021: Ethics and Moral Code in AI

FAQ

How can I participate in the lecture?

You can reach the permanent room for all lectures here: https://tud.link/i8zf

When will the room become accessible to the audience?

The room will be accessible 5 minutes before the start of the lecture.

Who can participate in the Living Lab activities?

The participation is free for everyone.

Do I need to be familiar with topics such as Big Data and AI to benefit from the lectures?

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

Is there any technical requirements to participate in the lecture?

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Should I also turn on my camera/microphone during the lecture?

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

In that case, how can I ask a question and provide feedback?

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

How can I easily get informed about future activities of the Living Lab?

• • Follow us on X: @Sca_DS

• • Follow us on LinkedIn: ScaDS.AI Dresden/Leipzig

• • Subscribe to our YouTube channel: https://www.youtube.com/channel/UCv7EDPwovn6T1iaMbhlpFjg

• • Subscribe to our mailing list: https://mailman.zih.tu-dresden.de/groups/listinfo/livinglab

Can I participate with my smartphone?