LAMARR
- A short descriptive name, e.g. "Arbeitsgruppe Kasieczka" or "Röntgenphysik Göttingen"
LAMARR
- The full name of the group and it's affiliation, with different hierarchy levels on individual lines, e.g: "group name <new line> institute name <new line> university name"
LAMARR
Institute for Machine Learning and Artificial Intelligence- A link to the group's homepage.
- https://lamarr-institute.org/lamarr/
- A more detailed description of the group, their topics and interests.
Research on Machine Learning and Artificial Intelligence
Throughout its history, the field of Artificial Intelligence (AI) has seen several fundamental paradigm shifts. By and large, these can be summarized as transitioning from approaches such as rule-based expert systems which used symbolically expressed human knowledge to methods and models that rely on learning from examples.
Indeed, progress in the current era of Artificial Intelligence is largely due to Machine Learning (ML) systems such as Deep Neural Networks which use very large amounts of data to fit extremely high-dimensional models and can thus accomplish a wide variety of tasks.
Key Research Areas
The five areas into which we organize research at the Lamarr Institute reflect our commitment to AI3 – Triangular AI. They are interrelated and address questions of how to integrate data, knowledge and context to build AI solutions which operate in a resource-efficient manner and deliver powerful yet robust, explainable and trustworthy results:
- Hybrid Machine Learning
- Resource-aware ML
- Trustworthy AI
- Human-centered AI systems
- Embodied AI
- Select the applicable.
- Optional. Further details regarding cooperation.
