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Astronomy / Space - Computer Science - 31.05.2022
UW-developed, cloud-based astrodynamics platform to discover and track asteroids
A novel algorithm developed by University of Washington researchers to discover asteroids in the solar system has proved its mettle. The first candidate asteroids identified by the algorithm - known as Tracklet-less Heliocentric Orbit Recovery, or THOR - have been confirmed by the International Astronomical Union's Minor Planet Center.
Computer Science - 30.05.2022
Dutch researchers teleport quantum information across rudimentary quantum network
Back to (previous) overview TU Delft's latest news Researchers in Delft have succeeded in teleporting quantum information across a rudimentary network. This first of its kind is an important step towards a future quantum Internet. This breakthrough was made possible by a greatly improved quantum memory and enhanced quality of the quantum links between the three nodes of the network.
Computer Science - Innovation - 27.05.2022
Amazon and Max Planck Society establish Science Hub
The cooperation strengthens application-related research on artificial intelligence in Germany Amazon and the Max Planck Society today announced the establishment of the first German Science Hub in Tübingen. The main goal of this science cooperation is to advance research in Germany in subfields of artificial intelligence (AI), in particular causality, computer vision and machine learning, to develop secure and trustworthy concepts for the future and thus to strengthen Germany as a technology location.
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.
Environment - Computer Science - 27.05.2022
AI learns coral reef ’song’
Artificial Intelligence (AI) can track the health of coral reefs by learning the "song of the reef", finds new research involving a UCL scientist. Coral reefs have a complex soundscape - and even experts have to conduct painstaking analysis to measure reef health based on sound recordings. In the new study, published in Ecological Indicators, scientists trained a computer algorithm using multiple recordings of healthy and degraded reefs, allowing the machine to learn the difference.
Astronomy / Space - Computer Science - 25.05.2022
Cloud computing to unveil the enigmas of our galaxy
The Galactic RainCloudS project, an initiative led by members of the Faculty of Physics , the Institute of Cosmos Sciences ( ICCUB ) and the Institute for Space Studies of Catalonia ( IEEC ), was awarded the first position in the framework of the Cloud Funding for Research call of the European project Open Clouds For Research Environments ( OCRE ).
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.
Life Sciences - Computer Science - 24.05.2022
TU Graz and Intel Demonstrate Significant Energy Savings Using Neuromorphic Hardware
By Christoph Pelzl Research published in Nature Machine Intelligence illustrates neuromorphic technology is up to sixteen times more energy-efficient for large deep learning networks than other AI systems. For the first time TU Graz's Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming four to sixteen times less energy while running on neuromorphic hardware than non-neuromorphic hardware.
Microtechnics - Computer Science - 20.05.2022
Using Everyday WiFi To Help Robots See and Navigate Better Indoors
Engineers at the University of California San Diego have developed a low cost, low power technology to help robots accurately map their way indoors, even in poor lighting and without recognizable landmarks or features. The technology consists of sensors that use WiFi signals to help the robot map where it's going.
Life Sciences - Computer Science - 19.05.2022
13 professors appointed
Researchers from ETH Zurich, the University of Zurich and Empa have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-learning tasks.
Computer Science - 19.05.2022
Scientists create new method to kill cyberattacks in less than a second
A new method that could automatically detect and kill cyberattacks on our laptops, computers and smart devices in under a second has been created by researchers at Cardiff University. Using artificial intelligence in a completely novel way, the method has been shown to successfully prevent up to 92 per cent of files on a computer from being corrupted, with it taking just 0.3 seconds on average for a piece of malware to be wiped out.
Computer Science - Life Sciences - 18.05.2022
A component for brain-inspired computing
Researchers from ETH Zurich, Empa and the University of Zurich have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient than conventional computers at performing machine-learning tasks.
Computer Science - 18.05.2022
Two professors develop a new algorithm to uncover patterns of voting behaviour
The professors José M. Pavia from the Universitat of València, and Rafael Romero from the Universitat Politécnica de Valencia, have developed a new algorithm to able to decipher individual electoral behaviour from aggregated data. The new procedure has been published in Sociological Methods and Research, a prestigious journal of social science methodology.
Computer Science - 18.05.2022
Unglitching the system: Advancement in predicting software vulnerabilities
New research from Monash University presents the most effective approach to accurately predict vulnerabilities in software code and strengthen cybersecurity. To help combat this, Faculty of Information Technology experts developed the 'LineVul' approach, and found it increased accuracy in predicting software vulnerabilities by more than 300 percent while spending only half the usual amount of time and effort, when compared to current best-in-class prediction tools.
Computer Science - Microtechnics - 17.05.2022
Researchers design ’socially aware’ robots that can anticipate - and safely avoid - people on the move
A team of researchers led by University of Toronto Professor Tim Barfoot is using a new strategy that allows robots to avoid colliding with people by predicting the future locations of dynamic obstacles in their path. The project, which is supported by Apple Machine Learning, will be presented at the International Conference on Robotics and Automation in Philadelphia at the end of May.
Health - Computer Science - 16.05.2022
AI models identify COVID-19 patients at the greatest risk of death, injury
New artificial intelligence (AI) models can help doctors prioritize care by predicting which COVID-19 patients are most at risk of dying or developing kidney injuries during hospitalization. The sophisticated computer software, developed by researchers at the University of Waterloo, identifies vulnerable patients by learning from previous COVID-19 patient cases with known clinical outcomes.
Computer Science - Innovation - 16.05.2022
A mobile application will compare archaeological materials through their chemical composition
A study led by María Luisa Cervera, Full Professor of Analytical Chemistry at the University of Valencia (UV), concludes that smartphones are a potential tool for comparing archaeological samples. The work has been developed through the ArchaeChemis Research Unit of the institution, in which Gianni Gallello, a researcher from the Department of Prehistory, Archaeology and Ancient History, collaborates, and for the first time the smartphone is considered as a key tool to study vestiges from the past.
Life Sciences - Computer Science - 16.05.2022
NeuroMechFly: a digital twin of Drosophila
Scientists have developed a digital model of the fruit fly, Drosophila melanogaster, which realistically simulates the movements of the animal. The twin is a big step towards reverse engineering the neuromechanical control of animal behavior, and developing bioinspired robots. "We used two kinds of data to build NeuroMechFly," says Professor Pavan Ramdya at EPFL's School of Life Sciences.
Campus - Computer Science - 10.05.2022
Engineering students dig through snowplow data to gauge Toronto’s response to winter storms
Last January, as 55 centimetres of snow blanketed Toronto over a period of just 15 hours, the city's snow-clearing fleet appeared to struggle to keep up. But was it actually different than other storms, or did it just seem that way? For three students in the University of Toronto's Faculty of Applied Science & Engineering who were taking "Data Science for Engineers," a graduate-level course taught by Sebastian Goodfellow , an assistant professor in the department of civil and mineral engineering, it was the perfect case study to test out their new number-crunching skills.
Astronomy / Space - 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.
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