GitHub - TUM-AIMED/hyfed: The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.
Researchers at Microsoft Research and TUM Have Made Robots to Change Trajectory by Voice Command Using A Deep Machine Learning Model - MarkTechPost
Facebook and the Technical University of Munich Announce New Independent TUM Institute for Ethics in Artificial Intelligence | Meta
TUM.ai - Blog - Privacy Preserving ML
Talk: Trends in Machine Learning Research, CKI Conference Data Analytics and Artificial Intelligence, Technical University Munich (TUM), Munich, Germany, February 26th, 2018 – Dr. Ulli Waltinger
GitHub - berkaybarlas/intro-to-machine-learning: TUM EI 5147: Introduction to Machine Learning
Confluence Mobil - TUM Wiki
Dynamic Vision and Learning: Introduction to Deep Learning (I2DL) (IN2346)
Technical University of Munich | Advanced machine learning for Innovative Drug Discovery (AIDD)
Thuerey Group – Computer Science I15
TUM ranked sixth worldwide in artificial intelligence research - TUM
Key technologies offer opportunities for founders - fortiss
Machine Learning: ERGO and TUM students benefit from joint workshop
Munich Data Science Institute Brings Machine Learning and Data Science to TUM
GitHub - dtransposed/TUM-Machine-Learning: Solution to the programming assingments for the IN2064 winter course Machine Learning on the Technical University of Munich.
William Lindskog – Machine Learning Researcher – trail | LinkedIn
TUM Visual Computing & Artificial Intelligence: Prof. Matthias Nießner
From left, professor of machine learning at the Department of Computer Engineering at TUM Reinhard Heckel, CEO of OpenAI and inventor of the AI software chatGPT Sam Altman, and AI security researcher
Researchers at TUM Introduce A Machine Learning Method That can Learn Local Equilibria in Symmetric Auction Games Using Artificial Neural Networks - MarkTechPost
TUM Visual Computing & Artificial Intelligence: Prof. Matthias Nießner
TUM Computer Vision Group - And here is our fascinating poster for the "Machine Learning for Applications in Computer Vision" practical course, Summer Semester 15, designed by Philip Häusser. | Facebook
argmax.ai on Twitter: "We've published our online ML course, which served as the main machine-learning course at TUM Informatics. See https://t.co/NWJMmCFV1Q. https://t.co/upSMMgsEFD" / Twitter
Machine learning Video Lectures · argmax.ai
Lehrstuhl für Angewandte Softwaretechnik - Chair for Applied Software Engineering
TUM founds leading center for integrated Data Sciences and Machine Learning - TU Munich
