How AI should capture the complexity of memes
Hessian.AI Blog
by annahoffmann
2M ago
About Luke Bates Luke Bates is a PhD student at the Ubiquitous Knowledge Processing Lab (UKP) and has a broad academic background, including two bachelor’s degrees in Linguistics and Japanese […] The post How AI should capture the complexity of memes appeared first on hessian.AI ..read more
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Continuous learning should make AI fit for global applications
Hessian.AI Blog
by Karin Gessler
3M ago
About Subarnaduti Paul Subarnaduti Paul began his scientific career in Germany about five years ago with a Master’s degree at the Technical University of Darmstadt. After completing his studies, which initially focused on electronic systems, Paul moved more and more toards artificial intelligence, inspired by an internship and a subsequent master’s thesis at Bosch. The core of his research: continuous learning Paul’s previous work has focused on distributed systems, particularly federated systems, in which multiple clients learn data locally and then send this information to a global server ..read more
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How adversarial reinforcement learning trains robust AI
Hessian.AI Blog
by Karin Gessler
4M ago
About Aryaman Reddi Aryaman Reddi is a PhD student working on multi-agent reinforcement learning and game theory. He began his academic career at the prestigious University of Cambridge, where he completed both his Bachelor’s and Master’s degrees in Information and Computer Engineering. During his studies, Reddi became interested in machine learning and mathematics. His Master’s thesis entitled “Deep Q-Learning for Congruent Non-Dominated Game Strategies” laid the foundation for his current research. After his studies, Reddi gained practical experience at ARM, where he worked in the machine ..read more
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Pragmatic AI for less bias and more fairness
Hessian.AI Blog
by Karin Gessler
6M ago
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
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Pragmatic AI for less bias and more fairness
Hessian.AI Blog
by Karin Gessler
6M ago
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
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Artificial intelligence for the Common Good
Hessian.AI Blog
by Yasemin Sevincli
6M ago
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
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How Synthetic Data and Simulations Advance Autonomous Tech
Hessian.AI Blog
by Jannik Toosbuy
8M ago
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
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Reverse Engineering the Doctor’s Mind: A Vision for AI-assisted Diagnostic Precision
Hessian.AI Blog
by Jannik Toosbuy
9M ago
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
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How motor intelligence could take AI to a new level
Hessian.AI Blog
by Andrea Kaufmann
10M ago
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
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New code models should benefit from expert knowledge with “constrained decoding”
Hessian.AI Blog
by Andrea Kaufmann
10M ago
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
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