Fraunhofer Institute for Integrated Circuits IISThe ADA Lovlace Center for Data, Analytics and Applications combines AI research with AI applications for business in Bavaria. In a conversation with Ada Lovelace, the ADA Lovelace Center's namesake, the experts talk about their work, their research projects and news from the partner network.
The "Ada Lovelace Center" series in the Fraunhofer IIS Magazine
Learn about the world of AI research at the Ada Lovelace Center
Semantics
How can data be made usable and interpretable for AI processes?
In the new podcast episode, I talk to Thomas Wittenberg at the Ada Lovelace Center for Analytics, Data and Applications about an area of basic research that makes collected data useful for AI processes: semantics.
Few Data Learning
How can machine learning methods be applied despite a small database?
I am pleased to talk today with Dr Christian Menden about the methods and possible applications of his competence pillar "Few Data Learning". This competence pillar is about enriching a small or qualitatively insufficient database so that machine learning methods can still be used. "Few Data Learning" therefore deals with making data usable for AI processes in the first place.
Experience-Based Learning
How can a system optimize processes through interactions with the environment?
I am pleased to be speaking with Dr. Christopher Mutschler again. Today, we are talking about the current research methods, challenges and application possibilities of the competency pillar Experience-based Learning at the Ada Lovelace Center for Analytics, Data and Applications.
Automated Learning
How can machine learning processes be automated as efficiently as possible?
In this new podcast episode I am talking with competency pillar leader Florian Karl about the current research methods, challenges and application possibilities of the competency pillar Automated Machine Learning (AutoML) at the Ada Lovelace Center for Analytics, Data and Applications.
Sequence-Based Learning
Ada in conversation with Dr. Christopher Mutschler about temporal and causal relationships that exist within data.
In the new podcast episode, I am keen to talk with Dr. Christopher Mutschler about the current research methods, challenges and possible applications of the Sequence-Based Learning competency pillar at the Ada Lovelace Center for Analytics, Data and Applications.
Few Labels Learning
Dive into a conversation with Jann Goschenhofer about training machine learning models with little annotated data.
In this episode, Ada talks with Jann Goschenhofer, head of the competence pillar "Few Labels Learning" at the ADA Lovelace Center for Analytics, Data and Applications.
Mathematical Optimization
In this first episode, Dr. Andreas Bärmann talks about the competency pillar Mathematical Optimization at the Ada Lovelace Center for Analytics, Data and Applications.
Ada is in conversation with Senior Scientist Dr. Andreas Bärmann, an expert in Mathematical Optimization at the ADA Lovelace Center for Analytics, Data and Applications. He provides insight into the research focus, challenges and methods of his research work.