On 10.03.2023, our first General Assembly Meeting in Dresden in the year 2023 took place. At the General Assembly Meeting, all team members from TUD Dresden University of Technology, Leipzig University and other partner institutions got together to talk about achievements, goals and the current research projects of ScaDS.AI Dresden/Leipzig.
Program of the General Assembly Meeting in Dresden
Modelling the Olfactory System Using Spiking Neural Networks with Synaptic Dynamics to Study Drifting in Electronic Noses (Ferney Beltran Velandia, Leipzig University)
Low-power Machine Learning (Prof. Dr. Akash Kumar, TUD Dresden University of Technology)
Retrainable Identification of Secondary Structure Conservation Sites in Full Genome Screens (Christopher Klapproth, Leipzig University
Using DNA Language Models to Extract the Genetic Code for Stability (Dr. Anna Poetsch, TUD Dresden University of Technology)
Hyperspectral Imaging for Cancer Detection (Mariia Tkachenko, Leipzig University)
Towards Resource Efficient Parallel Concept Drift Detection (Elias Werner, TUD Dresden University of Technology)
Predicting Evolution with Large Language Models (Moritz Ertelt, Leipzig University)
Partial Optimality in Cubic Correlation Clustering (Silvia Di Gregorio, TUD Dresden University of Technology)
In between the talks, three parallel breakout sessions were organized to connect our researchers on the topics of Responsible AI, Scalable Machine Learning and Knowledge Representation.
We thank all speakers and participants for their contribution to the program and networking sessions. Furthermore, we thank the employees of Hotel Pullman Dresden Newa for hosting the first ScaDS.AI General Assembly Meeting in 2023.
ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is a center for Data Science, Artificial Intelligence and Big Data with locations in Dresden and Leipzig.
Dresden
Visitor addressTechnische Universität Dresden
ScaDS.AI Dresden/Leipzig
Bürogebäude Strehlener Straße
Strehlener Straße 12, 14
01069 Dresden
Postal addressTechnische Universität Dresden
Zentrum für Informationsdienste und Hochleistungsrechnen
ScaDS.AI Dresden/Leipzig
01062 Dresden