About Felix Friedrich Felix Friedrich is a researcher at the Department of Computer Science at the Technical University of Darmstadt. He studied electrical engineering at TU Dortmund University and holds two master’s degrees from TU Darmstadt in Autonomous Systems and Computer Science with a minor in Psychology. Since 2021, Friedrich has been doing his doctorate at the Machine Learning Lab at the Department of Computer Science at TU Darmstadt. Felix Friedrich AI Cognition and machine intelligence How do humans think and learn? The question of human cognition can be transferred to artificial ..read more

About Felix Friedrich Felix Friedrich is a researcher at the Department of Computer Science at the Technical University of Darmstadt. He studied electrical engineering at TU Dortmund University and holds two master’s degrees from TU Darmstadt in Autonomous Systems and Computer Science with a minor in Psychology. Since 2021, Friedrich has been doing his doctorate at the Machine Learning Lab at the Department of Computer Science at TU Darmstadt. Felix Friedrich AI Cognition and machine intelligence How do humans think and learn? The question of human cognition can be transferred to artific ..read more

The shortage of skilled workers, the increasing flood of information due to digitalisation and new needs of citizens make it necessary for the state to explore the potential of AI. On the face of it, public administration has particularly good prerequisites for the use of AI: Many administrative processes are highly structured and the execution steps are usually clearly regulated. Last but not least, the public sector has a large amount of data at its disposal. This blog post shows where public administration is already using AI, what role start-ups play in this and where the challenges lie. A ..read more

About Prof. Dr. Dominik L. Michels After studying computer science and physics and completing his doctorate at the University of Bonn, Dominik L. Michels joined Caltech as a postdoc. In autumn 2014, he became head of the High Fidelity Algorithmics Group at the Max Planck Center for Visual Computing and Communication at Stanford University. Today, Michels holds the chair (W3) for Intelligent Algorithms in Modeling and Simulation (IAMS) at the Technical University of Darmstadt and is an Associate Professor at KAUST, where he established the Computational Sciences Group in the summer of 2016 ..read more

About Dr. Anirban Mukhopadhyay Dr. Anirban Mukhopadhyay completed his Ph.D. in Computer Science at the University of Georgia. He then worked as a postdoc at the IMT Lucca Institute and subsequently at the Zuse Institute Berlin. In 2017, he joined TU Darmstadt and is currently the head of the Medical and Environmental Computing Labs (MEC-Lab). He organizes leading international conferences, challenges, and workshops. Dr. Mukhopadhyay leads several national infrastructure projects on federated and continuous learning in healthcare such as RACOON, EVA-KI, and FED-PATH. He is also the host of th ..read more

About Prof Dr Jan Peters Prof. Dr. Jan Peters ist einer der Pioniere der KI- und Robotikforschung in Deutschland. Er ist ordentlicher Professor (W3) für Intelligente Autonome Systeme am Fachbereich Informatik der Technischen Universität Darmstadt und gleichzeitig Leiter des Forschungsbereichs System AI for Robot Learning (SAIROL) am Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI). Er ist Gründungsmitglied von hessian.AI.  Jan Peters KI-Pionier an der TU Darmstadt  Obwohl viele Universitäten mit Angeboten lockten, ist Peters der TU Darmstadt treu geblieben. Für ihn z ..read more

About Daniel Maninger Daniel Maninger studied computer science and has been a doctoral student at TU Darmstadt since October 2022, a member of the Software Technology Group (STG) under the direction of Prof Mira Mezini and a research assistant in the hessian.AI 3AI project. In his research, he deals with the generation of programme code by artificial intelligence, with a particular focus on the code capabilities of large language models. Daniel Maninger Human expertise plus AI model Large language models such as GPT-4 have made enormous progress in natural language processing and code ge ..read more

One of the focus areas of hessian.AI is to develop new architectures for deep learning and generative AI with partners. We have partnered with together.ai to train and realize the StripedHyena line of models. This release includes in particular the StripedHyena-Hessian-7B (SH 7B), a base model: SH 7B is competitive with the best open-source Transformers in short and long-context evaluations. The same model outperforms LLAMA-2 13B (twice its size) on OpenLLM leaderboard tasks and Mistral 7B on long-context summarization. SH 7B is faster and more memory efficient for long sequence training, fin ..read more

About Christian Fabian Christian Fabian is a Ph.D. candidate at the Self-Organizing Systems Lab at the Technical University of Darmstadt and a Research Assistant at hessian.AI. In 2020, he completed his master’s degree in economics, followed by a master’s degree in mathematics in 2021. Since October 2021, he has been with hessian.AI in Darmstadt, conducting research at the Self-Organizing Systems Lab under the supervision of Prof. Dr. Heinz Koeppl since March 2022. Christian Fabian Reinforcement Learning for large networks of actors In his research, Fabian focuses on “Reinforcement Learn ..read more

Jannis Brugger studied natural sciences and computer science in Koblenz and Mainz, where he began to work on artificial intelligence. He is currently doing his PhD at hessian.AI as part of the 3AI (The Third Wave of AI) project. Jannis Brugger Automated scientific discovery Jannis Brugger’s speciality is equation discovery, which involves deriving mathematical formulae from data sets. Brugger gives a simple example: “If we have a data set with two bodies of mass, for example, we can try to derive the laws of gravity from it.” Other fields of application are materials science, where bette ..read more