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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.

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.

Physics - Computer Science - 19.04.2022
New horizons in quantum physics
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
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 - 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
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.

Life Sciences - Computer Science - 28.03.2022
The Power of Bugs
New research from computer scientists shows how bacteria can fuel low-power sensors Computer scientists at the University of California San Diego are showing how soil microbes can be harnessed to fuel low-power sensors. This opens new possibilities for microbial fuel cells (MFCs), which can power soil hydration sensors and other devices.

Physics - Computer Science - 25.03.2022
'Hot' spin quantum bits in silicon transistors
’Hot’ spin quantum bits in silicon transistors
Quantum bits (qubits) are the smallest units of information in a quantum computer. Currently, one of the biggest challenges in developing this kind of powerful computer is scalability. A research group at the University of Basel, working with the IBM Research Laboratory in Rüschlikon, has made a breakthrough in this area.

Physics - Computer Science - 24.03.2022
Artificial neurons go quantum with photonic circuits
Artificial neurons go quantum with photonic circuits
Quantum memristor as missing link between artificial intelligence and quantum computing In recent years, artificial intelligence has become ubiquitous, with applications such as speech interpretation, image recognition, medical diagnosis, and many more. At the same time, quantum technology has been proven capable of computational power well beyond the reach of even the world's largest supercomputer.

Computer Science - 24.03.2022
Artificial intelligence to bring museum specimens to the masses
Artificial intelligence to bring museum specimens to the masses
Scientists are using cutting-edge artificial intelligence to help extract complex information from large collections of museum specimens. A team from Cardiff University is using state-of-the-art techniques to automatically segment and capture information from museum specimens and perform important data quality improvement without the need of human input.

Physics - Computer Science - 22.03.2022
Israel Joins the Quantum Computing Club
Israel Joins the Quantum Computing Club
Weizmann Institute of Science researchers present Israel's first quantum computer Building a working quantum computer is such a daunting venture that many believe it's only for tech giants and superpowers, something on a scale beyond Israel's reach. Prof. Roee Ozeri of the Weizmann Institute of Science begs to differ: "One of the world's first computers, WEIZAC, was built here in the 1950s, when all Israel had was swamps and camels.

Computer Science - 22.03.2022
Community-based initiative improves reproducibility in microscopy and imaging
Community-based initiative improves reproducibility in microscopy and imaging
Researchers from the FMI Facility for Advanced Imaging and Microscopy (FAIM) are drivers of a large-scale international initiative dedicated to improving quality assessment and quality control in light microscopy. Recently, the workgroup chaired by the Head of FAIM delivered the first protocol for this initiative.

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.

Earth Sciences - Computer Science - 15.03.2022
Researchers Produce First Map of Topographic Change at Statewide Scale
OpenTopography's Big Data project illustrates approximate decadal change in Indiana's landscape Scientists study the topography—the forms and features of the landscape—to measure and observe changes at the Earth's surface over time. While some changes are the result of natural processes like fluvial erosion and coastal erosion, the topography can also change due to anthropogenic forces, including those related to urban development, agriculture and resource extraction.

Environment - Computer Science - 14.03.2022
Drones and artificial intelligence aid hunt for fallen meteorite in outback WA
Drones and artificial intelligence aid hunt for fallen meteorite in outback WA
Curtin researchers have recovered a freshly fallen meteorite after pinpointing its exact location on the vast Nullarbor Plain in Western Australia, with a new technique that uses a drone to collect footage of the landscape that is then scanned using artificial intelligence.

Life Sciences - Computer Science - 11.03.2022
Deep learning: a framework for image analysis in life sciences
Deep learning: a framework for image analysis in life sciences
Deep learning models are becoming increasingly common in bioimage analysis. Yet a lack of standardization and the use of these algorithms by non-experts are potential sources of bias. Scientists from EPFL and the European Bioinformatics Institute (EMBL-EBI) offer practical tips and guidance in a paper recently published in the journal IEEE.

Health - Computer Science - 28.02.2022
Yale's new data analysis tool uncovers important COVID-19 clues
Yale’s new data analysis tool uncovers important COVID-19 clues
A new data analysis tool developed by Yale researchers has revealed the specific immune cell types associated with increased risk of death from COVID-19, they report Feb. Immune system cells such as T cells and antibody-producing B cells are known to provide broad protection against pathogens such as SARS-CoV-2, the virus that causes COVID-19.

Computer Science - Environment - 23.02.2022
Robust Radar: New AI Sensor Technology for Autonomous Driving
Robust Radar: New AI Sensor Technology for Autonomous Driving
Researchers at TU Graz have modelled an AI system for automotive radar sensors that filters out interfering signals caused by other radar sensors and dramatically improves object detection. Now the system is to be made more robust to weather and environmental influences as well as new types of interference.