Save the date: Am 25. Januar um 19:00 Uhr im CIB modul-E the next Munich Datageeks meeting will take place in our Munich office. You can expect two exciting expert presentations on use cases for large AI language models and, of course, the opportunity to exchange ideas and network with experts and many interesting guests.
Format: Talks and networking
- 2 presentations (approx. 40 min. each incl. discussion)
- Networking + food + drinks before, between and after the presentations
- The lectures will be held in English.
- Photos and videos will be taken during the event. They will be used for dissemination on networks or web.
Talk 1: Konrad Grosser - Pretraining Multimodal Transformers for Document Understanding
"Documents contain rich information that is available both linguistically and visually and is important in many business processes. Automatic understanding of documents is therefore a growing field of research and requires powerful multimodal approaches. In my presentation, I will give you an overview of AI research based on specific previous projects. I will then describe the state of the art in image transformer models and bimodal transformer models, and explain some principles for pre-training large multimodal transformer models for document understanding. These are illustrated using examples from the RIDMI-research project, which is currently being conducted jointly by CIB and Fraunhofer IAIS ".
Talk 2: Florian Haselbeck - Advancing Synthetic Protein Design with Large Language Models
"Accurate prediction of protein properties is an essential task in many areas of biotechnology, including enzyme engineering and protein hybrid optoelectronics. In recent publications, approaches based on protein language models have shown superior performance both in predicting protein functions and structures and in generating novel sequences. In this talk, we will highlight the advantages of large language models for predicting protein thermophilicity and thermostability and provide an outlook on how these models will revolutionize the design of synthetic proteins."
Konrad Grosser is currently a Senior Data Scientist in the AI team of the CIB Group. He studied mathematics at the ETH Zurich and holds an MScs in population genetics from the University of Vienna. Before joining the AI team at CIB, he worked as a research scientist in statistical genetics at the LMU, focusing on the population genetics of hematopoietic neoplasms. He has a broad interest and experience in machine learning and statistics, with a focus on automated document lifecycle management.
Florian Haselbeck is a research associate at the Chair of Bioinformatics at the TUM Campus Straubing for Biotechnology and Sustainability. He recently completed his PhD on machine learning for time series prediction. Before his PhD, Florian worked as a data scientist and software developer at Audi AG. He holds an M.Sc. in Computer Science and IT Management and a B.Eng. in Mechatronics.
Attend the event and participate in interesting discussions with AI experts. You will learn first-hand about the latest developments that will shape the future of AI and its applications in document processing.
Over 225 interested guests have already registered - register now - only a few places are available!