news

news

News from the Lab (news.myScience.ch)

  • News from the Lab’ is a selection of scientific works that are significant or interesting for a broad readership. 
  • The selection of news is made by the team of myScience.ch. There is no right to be published or automatic publishing.
  •  RSS Feeds (Add this page to your bookmarks)
« BACK

Computer Science



Results 1 - 20 of 70.
1 2 3 4 Next »


Astronomy / Space Science - Computer Science - 06.05.2022
Asteroid treasure in the Hubble archive
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
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
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
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.

Computer Science - Materials Science - 06.12.2021
Turbo boost for materials research
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
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
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
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
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
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
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
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
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.

Life Sciences - Computer Science - 18.02.2021
Artificial intelligence deciphers genetic instructions
Artificial intelligence deciphers genetic instructions
Deep learning algorithms reveal the rules of gene regulation With the help of artificial intelligence (AI) a German-American team of scientists deciphered some of the more elusive instructions encoded in DNA. Their neural network trained on high-resolution maps of protein-DNA interactions uncovers subtle DNA sequence patterns throughout the genome, thus providing a deeper understanding of how these sequences are organized to regulate genes.

Physics - Computer Science - 02.02.2021
EU project on development of high-performance photonic processors gets started
EU project on development of high-performance photonic processors gets started
Artificial intelligence (AI) is seen as a key technology with fields of application in a wide variety of areas in society. However, researching, developing and, in particular, using AI systems presents enormous challenges for the computing power and storage capacity needed to process large data volumes.

Life Sciences - Computer Science - 08.01.2021
Schüler und Studierende bauen CERN-Detektor mit Lego nach: Online-Workshop
Spatial and temporal distribution of primordial germ cells (stained in red) in zebrafish embryos. Normally, with the help of an attractant produced in the environment, the cells migrate in a targeted and coordinated manner through the developing embryo and reach the regions where the sex organs are formed (left).
1 2 3 4 Next »