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Artificial Intelligence (AI)

At TUM, we are investigating and developing intelligent systems, while keeping an eye on our responsibility for people and society at all times. Find out what's new in the fields of AI, robotics, machine learning and data science.

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Graphical representation of AI as a head with numerous ones and zeros. iStockphoto.com/ Ryzhi

Artificial Intelligence

AI applications are profoundly changing the world of work, research and everyday life. We are helping to shape this technological progress: in research, in studies and teaching and in the field of entrepreneurship. This includes new methods and applications of AI, subject-specific degree programs, new teaching and learning methods and cooperation with industry.

AI at the TUM

A student working on the mass spectrometer
12/18/2024
Reading time: 1 Min.

Artificial Intelligence in the Life Sciences

Why AI models often fail in practice

Artificial intelligence (AI) based on machine learning offers opportunities for the life sciences. However, problems often arise in practice. One cause is data leakage, the illicit spillover of information from the training to the test data. Researchers from the Technical University of Munich (TUM), the University of Applied Sciences Weihenstephan-Triesdorf (HSWT), and other research institutions are now advocating for more interdisciplinary collaboration in a new guideline. In this interview, Dominik Grimm, Professor of Bioinformatics, and Markus List, Professor of Data Science in Systems Biology, explain why it is crucial to address this issue now.

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Research Artificial Intelligence
CT-scans of a skull
12/16/2024

Algorithm for particularly precise assessment of brain damage

AI pinpoints stroke timing with high accuracy

Quick action after a stroke hits can significantly reduce permanent damage. However, it is crucial to determine the exact time of the event to decide on the best treatment. A research team, including expertise from the Technical University of Munich (TUM), has developed an algorithm that can determine the timing of a stroke with exceptional precision, outperforming current approaches by a factor of two.

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Research Artificial Intelligence
12/11/2024
Reading time: 1 Min.

Most important German research prize for TUM professor

Medical AI researcher Daniel Rückert receives Leibniz Prize

Computer scientist and AI researcher Prof. Daniel Rückert receives the Gottfried Wilhelm Leibniz Prize 2025. The professor of Artificial Intelligence (AI) in Medicine and Healthcare at the Technical University of Munich (TUM) is being honored for his research on AI-assisted medical imaging. The most important German research prize is endowed with 2.5 million euros by the German Research Foundation (DFG).

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President Research Artificial Intelligence
Daniel Cremers, Professor of Computer Vision & Artificial Intelligence
12/5/2024
Reading time: 6 Min.

Interview with Prof. Daniel Cremers on the future of AI

“The goal of AI is to make our lives easier”

Technologies based on artificial intelligence (AI) are already affecting our everyday lives – from the systems that facilitate movie and music selections to language assistants that formulate emails. But what developments will come along in the coming years? Daniel Cremers, a professor of Computer Vision and Artificial Intelligence at the Technical University of Munich (TUM), offers insights into the future of AI. The objective of this research is to improve the ability of machines to analyze and interpret image data.

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Research Artificial Intelligence
Prof. Simon Jacob (left) and Prof. Julijana Gjorgijeva
12/3/2024
Reading time: 5 Min.

Neuroscience, quantum computing and artificial intelligence

Five ERC Consolidator Grants awarded to TUM researchers

Can electric stimulation help the brain regain speech after a stroke? Can generative artificial intelligence create realistic 3D objects? Can qubits, the fundamental units of quantum computing, be entangled using light? These are among the questions that five research teams at the Technical University of Munich (TUM) aim to answer with the support of prestigious ERC Consolidator Grants.

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Research Quantum Technologies Artificial Intelligence
The winners of the TUM IDEAward at the award ceremony
11/28/2024
Reading time: 2 Min.

Teams from informatics, environmental engineering and medicine

IDEAward for researchers’ start-up ideas

An AI-controlled construction robot, a CO2 conversion process and a test to detect head and neck tumors: These three promising start-up ideas from researchers are the latest winners of the TUM IDEAward.

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Research Entrepreneurship Sustainability Artificial Intelligence
11/27/2024
Reading time: 5 Min.

Strategic partnership on optoionics between TUM and Max Planck Society

World's first center for solar batteries

The world's first center for solar batteries and optoionic technologies is being established in Bavaria. The Technical University of Munich (TUM) and the Max Planck Society (MPG) have set the course for this with the support of the Bavarian Ministry of Economic Affairs. With the SolBat Center, a unique research ecosystem will be formed to research new types of energy storage systems and develop applications to use solar energy even more efficiently and flexibly.

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President Research Sustainability Artificial Intelligence Energy
The team developed a new method to design large new proteins. Left: Christopher Frank, first author of the new study. Right: Prof. Hendrik Dietz.
11/21/2024
Reading time: 3 Min.

Designing large new proteins with AI

New method for designing artificial proteins

Protein design aims to create customized antibodies for therapies, biosensors for diagnostics, or enzymes for chemical reactions. An international research team has now developed a method for designing large new proteins better than before and producing them with the desired properties in the laboratory. Their approach involves a new way of using the capabilities of the AI-based software Alphafold2, for which the Nobel Prize in Chemistry was awarded in 2024.

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Research Artificial Intelligence
11/18/2024
Reading time: 3 Min.

New technology mimics nature and makes rhythmic movements calculable

Effortless robot movements

Humans and animals move with remarkable economy - without consciously thinking about it - by utilizing the natural oscillation patterns of their bodies. A new tool developed by researchers at the Technical University of Munich (TUM) can now utilize this knowledge for the first time to make robots move more efficiently.

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Research Artificial Intelligence
Prof. Daniel Cremers, Christine Steger, Prof. Helmut Krcmar, Nicole Büttner und Dr. Gerald Karch (from left) discussing at the TUM Talk.
10/31/2024
Reading time: 4 Min.

TUM Talk at the Campus Heilbronn

Confidence for mid-sized businesses

How can companies be confidently advanced despite all crises? Business and academia discussed this question at the fifth TUM Talk. As usual at the TUM Campus Heilbronn, the focus was on strategies for digitalization in medium-sized businesses.

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President Artificial Intelligence Community Public Engagement
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