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Health - Computer Science - 27.05.2022

Same symptom - different cause?
Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups.

Computer Science - 25.05.2022

Preventing eavesdropping in the Internet of Things
Intelligent reflecting surfaces can protect communication against attacks by adversarial wireless sensing The Internet of Things opens new gateways for eavesdroppers. The devices which are interconnected in more and more households communicate wirelessly. This can endanger privacy considerably: Passive eavesdroppers are able to obtain sensitive data through intercepted high-frequency signals.

Astronomy / Space Science - Computer Science - 06.05.2022

Asteroid treasure in the Hubble archive
The data of the space telescope contain the traces of many unknown celestial bodies With a sophisticated combination of human and artificial intelligence, astronomers uncovered 1701 new asteroid trails in archival data of the Hubble Space Telescope spanning the past 20 years. While about one third could be identified and attributed to known objects, more than 1000 trails probably correspond to previously unknown asteroids.

Computer Science - Physics - 06.05.2022

In balance: Quantum computing needs the right combination of order and disorder
Study shows that disorder in quantum computer chips needs to be designed to perfection / Publication in 'Nature Communications' Research conducted within the Cluster of Excellence 'Matter and Light for Quantum Computing' (ML4Q) has analysed cutting-edge device structures of quantum computers to demonstrate that some of them are indeed operating dangerously close to a threshold of chaotic meltdown.

Computer Science - Earth Sciences - 20.04.2022

Artificial Intelligence Decodes Causes of Mass Extinction in the Permian
Volcanic eruptions in Siberia caused massive climate change 252 million years ago. Approximately 75 percent of all land organisms and 90 percent of all ocean organisms perished. The paleontologist Dr. William Foster at the Center for Earth System Research and Sustainability (CEN) has now decoded the causes of this mass extinction in the oceans.

Chemistry - Computer Science - 06.04.2022

Artificial Intelligence identifies small molecules
A bioinformatics research team from Friedrich Schiller University Jena has won the 2022 Thuringian Research Prize for applied research, Thuringia's Science Minister Wolfgang Tiefensee announced today (06 April) in a video presentation. The prize of 12,500 euros, awarded for the development of machine learning methods for identifying small molecules, went to the team comprising Prof. Sebastian Böcker, Dr Kai Dührkop, Dr Markus Fleischauer, Dr Marcus Ludwig and Martin Hoffmann.

Chemistry - Computer Science - 17.03.2022

With machine learning to new supramolecular materials
New supramolecular materials can be used in energy production and medical devices. The team of the TUM Innovation Network ARTEMIS aims to identify the best supramolecular materials for use with the help of machine learning. A team of scientists at the TUM Innovation Network ARTEMIS (Artificial Intelligence Powered Multifunctional Material Design), named after the Greek goddess of hunting, are researching supramolecular materials.

Physics - Computer Science - 18.01.2022

16 million euros for photonic quantum processors
BMBF project PhotonQ brings together seven universities and research institutions as well as industrial partners [Picture: University of Stuttgart / Uli Regenscheit] Quantum computers will one day be able to solve problems at high speed that cannot be handled by classical computer systems. However, in order for these computers to become practical, they must process a significantly higher number of qubits and have lower error rates.

Computer Science - Materials Science - 06.12.2021

Turbo boost for materials research
A new algorithm has been designed to help discover previously unknown material compounds. It was developed by a team from Martin Luther University Halle-Wittenberg (MLU), Friedrich Schiller University Jena and Lund University in Sweden. The researchers designed a form of artificial intelligence (AI) based on machine learning that can perform complex calculations within a very short space of time.

Physics - Computer Science - 02.12.2021

Twisting elusive quantum particles
While the number of qubits and the stability of quantum states are still limiting current quantum computing devices, there are questions where these processors are already able to leverage their enormous computing power. In collaboration with the Google Quantum AI team scientists from the Technical University of Munich (TUM) and the University of Nottingham used a quantum processor to simulate the ground state of a so-called toric code Hamiltonian - an archetypical model system in modern condensed matter physics, which was originally proposed in the context of quantum error correction.

Chemistry - Computer Science - 17.11.2021

Artificial intelligence helps to find new natural substances
Bioinformatics team develops method that enables fast and confident identification of small molecules Life More than a third of all medicines available today are based on active substances from nature and a research team from the University of Jena has developed a procedure to identify small active substance molecules much more quickly and easily.

Environment - Computer Science - 03.11.2021

Where the wild bears are
New software helps determine the movements of large wild animals thereby minimising conflicts with people. The software is simpler than measurements obtained using radio transmitters and can be used where conventional methods fail. An international team led by the German Centre for Integrative Biodiversity Research (iDiv), the Friedrich Schiller University Jena, Aarhus University and the University of Oxford has published a description of the new software in the journal Methods in Ecology and Evolution .

Life Sciences - Computer Science - 29.10.2021

Solving Complex Learning Tasks in Brain-Inspired Computers
Researchers from Heidelberg and Bern develop a new training approach for spiking neural networks Developing a machine that processes information as efficiently as the human brain has been a long-standing research goal towards true artificial intelligence. An interdisciplinary research team at Heidelberg University and the University of Bern (Switzerland) led by Dr Mihai Petrovici is tackling this problem with the help of biologically-inspired artificial neural networks.

Computer Science - 01.09.2021

Using machine learning to understand complex auctions
New AI algorithm as a tool for economists Using a new machine learning algorithm, a team at the Technical University of Munich (TUM) has succeeded in analyzing complex markets and their equilibrium strategies. Until now, such analyses were limited to very simple auction markets. The new numerical method opens up new possibilities for economic theory and new applications as in wireless spectrum auctions, among others.

Computer Science - 04.08.2021

A post-quantum chip with hardware trojans
Chip with secure encryption will help in fight against hackers A team at the Technical University of Munich (TUM) has designed and commissioned the production of a computer chip that implements post-quantum cryptography very efficiently. Such chips could provide protection against future hacker attacks using quantum computers.

Computer Science - 01.06.2021

Precise data for improved coastline protection
First comprehensive measurements of sea level changes in the Baltic Sea and the North Sea Researchers working under the leadership of the Technical University of Munich (TUM) have conducted the first precise and comprehensive measurements of sea level rises in the Baltic Sea and the North Sea. A new method now makes it possible to determine sea level changes with millimeter accuracy even in coastal areas and in case of sea ice coverage.

Health - Computer Science - 27.04.2021

Visual analysis for medicine
Cancer, Alzheimer's, diabetes or cardiovascular diseases are what are known as non-communicable diseases, which are responsible for the majority of deaths worldwide - in Germany, an estimated 91 percent of all deaths are the result of these diseases, and it is a rising trend. Epidemiologists have been studying the development and distribution of these epidemiological diseases, as well as the measures to combat them and what their social consequences are.

Chemistry - Computer Science - 27.04.2021

Towards new solar cells with active machine learning
Fewer requirements let artificial intelligence discover new materials A research team from the Technical University of Munich (TUM) and the Fritz Haber Institute in Berlin uses active machine learning in the search for suitable molecular materials for new organic semiconductors, the basis for organic field effect transistors (OFETs), light-emitting diodes (OLEDs) and organic solar cells (OPVs).

Computer Science - Mechanical Engineering - 26.04.2021

New PP: Daring More Intelligence
Date: April 26, 2021, No. DFG approves new priority program coordinated by the University of Stuttgart Design Assistants in Mechanics and Dynamics are the topic of a new priority program (PP) of the German Research Foundation (DFG) that aims to bring more artificial intelligence (AI) into the design process of technical systems.

Life Sciences - Computer Science - 07.04.2021

Using AI to Diagnose Neurological Diseases Based on Motor Impairment
New Heidelberg approach: analysing movement patterns through machine learning The way we move says a lot about the state of our brain. While normal motor behaviour points to a healthy brain function, deviations can indicate impairments owing to neurological diseases. The observation and evaluation of movement patterns is therefore part of basic research, and is likewise one of the most important instruments for non-invasive diagnostics in clinical applications.