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Computer Science - Health - 05.06.2023 
More transparency for AI in diagnostics
At this point the Google Custom Search Engine is integrated. When displaying, data may be transferred to third parties or cookies may be stored, therefore your consent is required. You can find more information and the possibility to revoke your consent at Privacy , Medizinische Bildverarbeitung & KI, News Interview with computer scientist Alessandro Wollek and ethics researcher Theresa Willem Artificial Intelligence (AI) has the potential to support diagnoses in radiology.
Computer Science - Innovation - 24.04.2023 
Security solutions for the computing of the future
Creating trustworthy IT systems using cryptography Banking, emails, shopping: increasing volumes of data are being collected, processed and stored online. The challenge of ensuring that they are securely encrypted is similarly increasing, because in the future, quantum computers will be able to crack current encryptions.
Computer Science - Environment - 18.04.2023 
New AI for Flora Incognita
"Flora Incognita," Germany's most popular plant identification app, has received new artificial intelligence - as a result, the number of plant species that can be determined has tripled: Around 16,000 species can now be identified worldwide. In addition, the app, which is now available in 20 languages, now also works in offline mode, and its digital educational offering includes a wealth of new information, such as improved distribution maps of many species.
Computer Science - Social Sciences - 18.04.2023 
A question of promoting talent
When children develop their professional interests, the social environment is extremely formative. Girls often still lack female role models in the field of computer science. The university group she.codes wants to change that and get girls excited about programming. It is often said that IT is a man's world.
Computer Science - Life Sciences - 22.02.2023 
MoBIE enables modern microscopy with massive data sets
Research led by Göttingen University and EMBL develops new tool for sharing big image data High-resolution microscopy techniques, for example electron microscopy or super-resolution microscopy, produce huge amounts of data. The visualization, analysis and dissemination of such large imaging data sets poses significant challenges.
Music - Computer Science - 16.12.2022 
’Ediphon’: Editing pop music scientifically with the help of an app
Research Award Winner at the University of Paderborn Presents Results In classical music, editions are considered the basis of scholarly study of music. Unlike classical music, however, pop music is not composed on music paper, but in audio data. The substance of pop music is its sound. Rebecca Grotjahn, professor at the Department of Musicology at the University of Paderborn and the Detmold University of Music, is investigating how this can be edited as so-called -phonographic- music.
Physics - Computer Science - 06.12.2022 
Energy-efficient computing with tiny magnetic vortices
Unconventional computing combines Brownian computing with reservoir computing / First prototype developed A large percentage of energy used today is consumed in the form of electrical power for processing and storing data and for running the relevant terminal equipment and devices. According to predictions, the level of energy used for these purposes will increase even further in the future.
Computer Science - Economics - 01.12.2022
Computer Science - 09.11.2022
Life Sciences - Computer Science - 24.10.2022 
From climate change to stock market prices
Scientists at TU Ilmenau have succeeded in improving the accuracy of data evaluations for forecasting weather events, among other things, by up to 80 percent. In the scientific publication ,,Flipped Classroom - Effective Teaching for Time Series Forecasting", which was published in October, Prof. Patrick Mäder, head of the department Data-intensive Systems and Visualization, and Philipp Teutsch, research associate at the same department, present their research results on the training of recurrent neural networks.
Environment - Computer Science - 20.10.2022 
Smartphone data can help create global vegetation maps
INaturalist app users play a significant role in helping researchers create global maps of plant traits <p><strong>Leipzig. Missing knowledge in the global distribution of plant traits could be filled with data from species identification apps. Researchers from Leipzig University, the German Centre for Integrative Biodiversity Research (iDiv) and other institutions were able to demonstrate this based on data from the popular iNaturalist app.
Materials Science - Computer Science - 11.10.2022 
With artificial intelligence to new materials
In a pilot project, machine learning is helping to develop materials for hydrogen storage, for example. Artificial intelligence is opening up new possibilities in the development of new materials. Particularly in the search for materials for special applications such as high-entropy alloys, which contain several components in roughly equal proportions, machine learning could support research.
Environment - Computer Science - 04.10.2022 
Climate simulation more realistic with Artificial Intelligence
Machine learning improves climate models Accurately modeling extreme precipitation events remains a major challenge for climate models. These models predict how the earth's climate may change over the course of decades and even centuries. To improve them especially with regard to extreme events, researchers now use machine learning methods otherwise applied to image generation.
Computer Science - Earth Sciences - 19.09.2022 
New Software Platform Advances Understanding of the Surface Finish of Manufactured Components
Scientists develop platform that combines measurements of surface topography in a digital twin Scientists from the University of Freiburg, Germany, and the University of Pittsburgh have developed a software platform that facilitates and standardizes the analysis of surfaces. The platform enables users to create a digital twin of a surface and thus to help predict, for example, how quickly it wears out, how well it conducts heat, or how well it adheres to other materials.
Computer Science - Microtechnics - 13.09.2022 
Unlocking human-like perception in self-driving vehicles
Freiburg computer scientists make an important step towards advancing perception in complex urban environments How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a key question that must be solved for self-driving vehicles to safely navigate in large crowded cities.
Transport - Computer Science - 08.09.2022 
Bird’s’eye view improves safety of autonomous driving
The expectations for autonomous driving are clear: "Cars have to travel safely not only at low speeds, but also in fast-moving traffic," says Jörg Schrepfer, the Head of Driving Advanced Research Germany at Valeo. For example, when objects fall off a truck, the "egocentric" perspective of a car will often be unable to detect the hazardous debris in time.
Computer Science - Research Management - 31.08.2022 
Neural networks predict forces in jammed granular solids
Researchers led by Göttingen University develop new machine-learning method to understand force chains Granular matter is all around us. Examples include sand, rice, nuts, coffee and even snow. These materials are made of solid particles that are large enough not to experience thermal fluctuations. Instead, their state is determined by mechanical influences: shaking produces -granular gases- whilst by compression one gets -granular solids-.
Environment - Computer Science - 24.08.2022 
Reviewing the quality of global environmental maps
It could be so simple: producing global maps for vegetation, climate or soil at the touch of a button. Whether in Africa, America or Europe; whether up in the mountains or deep in the forest. No laborious on-site fieldwork would be necessary, nor would days spent evaluating data in a lab. Simply "train" the computer system to provide, as accurately as possible, predictions for any and every environmental variable.
Computer Science - Health - 19.08.2022 
First completely robot-supported microsurgical operations performed
Münster surgeons use new operating method for the first time anywhere in the world / Research at Münster University strengthens medical digitalisation in the operating theatre It is a great success for robotic microsurgery not only in Münster but worldwide - both for medicine and for science: a team led by scientists Dr. Maximilian Kückelhaus and Prof. Tobias Hirsch from the Centre for Musculoskeletal Medicine at the University of Münster has carried out the first completely robot-supported microsurgical operations on humans.
Computer Science - Health - 29.07.2022
Computer Science
Results 1 - 20 of 97.
At this point the Google Custom Search Engine is integrated. When displaying, data may be transferred to third parties or cookies may be stored, therefore your consent is required. You can find more information and the possibility to revoke your consent at Privacy , Medizinische Bildverarbeitung & KI, News Interview with computer scientist Alessandro Wollek and ethics researcher Theresa Willem Artificial Intelligence (AI) has the potential to support diagnoses in radiology.
Creating trustworthy IT systems using cryptography Banking, emails, shopping: increasing volumes of data are being collected, processed and stored online. The challenge of ensuring that they are securely encrypted is similarly increasing, because in the future, quantum computers will be able to crack current encryptions.
"Flora Incognita," Germany's most popular plant identification app, has received new artificial intelligence - as a result, the number of plant species that can be determined has tripled: Around 16,000 species can now be identified worldwide. In addition, the app, which is now available in 20 languages, now also works in offline mode, and its digital educational offering includes a wealth of new information, such as improved distribution maps of many species.
When children develop their professional interests, the social environment is extremely formative. Girls often still lack female role models in the field of computer science. The university group she.codes wants to change that and get girls excited about programming. It is often said that IT is a man's world.
Research led by Göttingen University and EMBL develops new tool for sharing big image data High-resolution microscopy techniques, for example electron microscopy or super-resolution microscopy, produce huge amounts of data. The visualization, analysis and dissemination of such large imaging data sets poses significant challenges.
Research Award Winner at the University of Paderborn Presents Results In classical music, editions are considered the basis of scholarly study of music. Unlike classical music, however, pop music is not composed on music paper, but in audio data. The substance of pop music is its sound. Rebecca Grotjahn, professor at the Department of Musicology at the University of Paderborn and the Detmold University of Music, is investigating how this can be edited as so-called -phonographic- music.
Unconventional computing combines Brownian computing with reservoir computing / First prototype developed A large percentage of energy used today is consumed in the form of electrical power for processing and storing data and for running the relevant terminal equipment and devices. According to predictions, the level of energy used for these purposes will increase even further in the future.
Paderborn University leads EU research project on explainable artificial intelligence
Artificial intelligence (AI) has become an integral part of our lives. It has given rise to smart assistants that take on tasks that would otherwise take humans a great deal of time and effort - in medicine, business and industry, for example. To do this, smart assistants require vast amounts of data.
Artificial intelligence (AI) has become an integral part of our lives. It has given rise to smart assistants that take on tasks that would otherwise take humans a great deal of time and effort - in medicine, business and industry, for example. To do this, smart assistants require vast amounts of data.
Digital ’Red Cross emblem’ to protect against attacks
Humanitarian protection and support for victims of war and armed violence, that is the goal of the International Committee of the Red Cross (ICRC). The symbol of the Red Cross is intended to protect aid workers from attack during their missions. Can this symbol also be used for the digital world - and what opportunities and risks are associated with it? An international team of researchers investigated this question on behalf of the ICRC.
Humanitarian protection and support for victims of war and armed violence, that is the goal of the International Committee of the Red Cross (ICRC). The symbol of the Red Cross is intended to protect aid workers from attack during their missions. Can this symbol also be used for the digital world - and what opportunities and risks are associated with it? An international team of researchers investigated this question on behalf of the ICRC.
Scientists at TU Ilmenau have succeeded in improving the accuracy of data evaluations for forecasting weather events, among other things, by up to 80 percent. In the scientific publication ,,Flipped Classroom - Effective Teaching for Time Series Forecasting", which was published in October, Prof. Patrick Mäder, head of the department Data-intensive Systems and Visualization, and Philipp Teutsch, research associate at the same department, present their research results on the training of recurrent neural networks.
INaturalist app users play a significant role in helping researchers create global maps of plant traits <p><strong>Leipzig. Missing knowledge in the global distribution of plant traits could be filled with data from species identification apps. Researchers from Leipzig University, the German Centre for Integrative Biodiversity Research (iDiv) and other institutions were able to demonstrate this based on data from the popular iNaturalist app.
In a pilot project, machine learning is helping to develop materials for hydrogen storage, for example. Artificial intelligence is opening up new possibilities in the development of new materials. Particularly in the search for materials for special applications such as high-entropy alloys, which contain several components in roughly equal proportions, machine learning could support research.
Machine learning improves climate models Accurately modeling extreme precipitation events remains a major challenge for climate models. These models predict how the earth's climate may change over the course of decades and even centuries. To improve them especially with regard to extreme events, researchers now use machine learning methods otherwise applied to image generation.
Scientists develop platform that combines measurements of surface topography in a digital twin Scientists from the University of Freiburg, Germany, and the University of Pittsburgh have developed a software platform that facilitates and standardizes the analysis of surfaces. The platform enables users to create a digital twin of a surface and thus to help predict, for example, how quickly it wears out, how well it conducts heat, or how well it adheres to other materials.
Freiburg computer scientists make an important step towards advancing perception in complex urban environments How can mobile robots perceive and understand the environment correctly, even if parts of the environment are occluded by other objects? This is a key question that must be solved for self-driving vehicles to safely navigate in large crowded cities.
The expectations for autonomous driving are clear: "Cars have to travel safely not only at low speeds, but also in fast-moving traffic," says Jörg Schrepfer, the Head of Driving Advanced Research Germany at Valeo. For example, when objects fall off a truck, the "egocentric" perspective of a car will often be unable to detect the hazardous debris in time.
Researchers led by Göttingen University develop new machine-learning method to understand force chains Granular matter is all around us. Examples include sand, rice, nuts, coffee and even snow. These materials are made of solid particles that are large enough not to experience thermal fluctuations. Instead, their state is determined by mechanical influences: shaking produces -granular gases- whilst by compression one gets -granular solids-.
It could be so simple: producing global maps for vegetation, climate or soil at the touch of a button. Whether in Africa, America or Europe; whether up in the mountains or deep in the forest. No laborious on-site fieldwork would be necessary, nor would days spent evaluating data in a lab. Simply "train" the computer system to provide, as accurately as possible, predictions for any and every environmental variable.
Münster surgeons use new operating method for the first time anywhere in the world / Research at Münster University strengthens medical digitalisation in the operating theatre It is a great success for robotic microsurgery not only in Münster but worldwide - both for medicine and for science: a team led by scientists Dr. Maximilian Kückelhaus and Prof. Tobias Hirsch from the Centre for Musculoskeletal Medicine at the University of Münster has carried out the first completely robot-supported microsurgical operations on humans.
New Centre for Model-Based Artificial Intelligence
Carl Zeiss Foundation provides five million euros for establishment of CZS Heidelberg Center for Model-Based AI A centre for model-based artificial intelligence has been set up at Heidelberg University to link mathematical modelling methods with information processing in neuronal networks. The Carl Zeiss Foundation (CZS) is funding the CZS Heidelberg Center for Model-Based AI with five million euros over a period of six years.
Carl Zeiss Foundation provides five million euros for establishment of CZS Heidelberg Center for Model-Based AI A centre for model-based artificial intelligence has been set up at Heidelberg University to link mathematical modelling methods with information processing in neuronal networks. The Carl Zeiss Foundation (CZS) is funding the CZS Heidelberg Center for Model-Based AI with five million euros over a period of six years.
