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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 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 - 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
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
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
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.

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.

Physics - Computer Science - 19.04.2022

New horizons in quantum physics
UdeM physicist William Witczak-Krempa studies unusual states of matter in the quantum realm. William Witczak-Krempa, a professor in UdeM's Department of Physics since 2016, is a quantum physicist who studies highly entangled quantum states of matter. Quantum entanglement enables the encoding and sharing of information at great distances, a property that is harnessed in quantum computing.

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.

Computer Science - Environment - 04.04.2022

Gliding to Greater Sustainability
Imagine designing a robotic glider able to accelerate to 800km per hour using only the wind at its back. Combining passion with work, EPFL Professor Pascal Fua is leading research to develop the required capabilities, with important implications for sustainability. Head of EPFL's Computer Vision Laboratory (CV) in the School of Computer and Communication Sciences and a passionate gliding enthusiast, Pascal Fua always wanted to fly.

Computer Science - Astronomy / Space Science - 04.04.2022

New algorithm could be quantum leap in search for gravitational waves
A new method of identifying gravitational wave signals using quantum computing could provide a valuable new tool for future astrophysicists. A team from the University of Glasgow's School of Physics & Astronomy have developed a quantum algorithm to drastically cut down the time it takes to match gravitational wave signals against a vast databank of templates.

Microtechnics - Computer Science - 29.03.2022

Control for wheelchair robots to mitigate risk of collision in crowds
Robotic wheelchairs may soon be able to move through crowds smoothly and safely. As part of CrowdBot, an project, researchers are exploring the technical, ethical and safety issues related to this kind of technology. The aim of the project is to eventually help the disabled get around more easily. Shoppers at Lausanne's weekly outdoor market may have come across one of EPFL's inventions in the past few weeks - a newfangled device that's part wheelchair, part robot.