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Astronomy / Space Science - Computer Science - 25.05.2022
Cloud computing to unveil the enigmas of our galaxy
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 ).

Life Sciences - Computer Science - 24.05.2022
TU Graz and Intel Demonstrate Significant Energy Savings Using Neuromorphic Hardware
TU Graz and Intel Demonstrate Significant Energy Savings Using Neuromorphic Hardware
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.

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
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
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
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
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 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
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 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 - Innovation - 03.05.2022
Using desserts to decode computer science
New research from Monash University uses food to help demonstrate the basic building blocks of computer science while creating new frontiers in dining experiences. The past decade has seen great strides in innovative food experiences like 3D-printed food, ingestible sensors, combining robots with food service and eating with augmented reality.

Computer Science - 26.04.2022
Improved approach to the 'Travelling Salesperson Problem' could improve logistics and transport sectors
Improved approach to the ’Travelling Salesperson Problem’ could improve logistics and transport sectors
A new approach to solving the Travelling Salesperson Problem - one of the most difficult questions in computer science - significantly outperforms current approaches. We're highly reliant on this kind of infrastructure to be more efficient - and our solution could help with that Amanda Prorok A notorious theoretical question that has puzzled researchers for 90 years, the Travelling Salesperson Problem also has real relevance to industry today.

Environment - Computer Science - 26.04.2022
Less animal testing thanks to machine learning
Less animal testing thanks to machine learning
Countless chemical substances, including fertilisers and pesticides but also pharmaceutical substances and industrial products, leak into groundwater, lakes and rivers. "We want to know what the impact of these chemicals is on aquatic species, and whether they are toxic or not," says Marco Baity-Jesi, Head of the Eawag Data Science Group.

Environment - Computer Science - 25.04.2022
Machine learning to speed up counting of microplastics
Machine learning to speed up counting of microplastics
Microplastics are all around us - in the water we drink, the food we eat and the air we breathe. But before researchers can understand the real impact of these particles on health, they need faster and more effective ways to quantify what is there. Two recent studies by researchers at the University of Toronto's Faculty of Applied Science & Engineering have proposed new methods that use machine learning to make the process of counting and classifying microplastics easier, faster and more affordable.

Computer Science - Microtechnics - 22.04.2022
Reinforcement Learning Bolsters Automated Detection of Concrete Cracks
Method could enable autonomous drones to monitor safety of bridges Rust never sleeps, and cracking concrete doesn't get a day off either. The Jan. 28 collapse of Pittsburgh's Fern Hollow Bridge was a dramatic reminder of that fact. The exact cause of the collapse won't be known until the National Transportation Safety Board completes a months-long study, but Carnegie Mellon researchers have developed autonomous drone technology that someday might prevent similar catastrophes and lesser mishaps caused by deterioration.

Innovation - Computer Science - 22.04.2022
Your Eyes Control Your Smartphone Via New Gaze-Tracking Tool
EyeMU enables users to interact with their screens without lifting a finger As more people watch movies, edit video, read the news and keep up with social media on their smartphones, these devices have grown to accommodate the bigger screens and higher processing power needed for more demanding activities.
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