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Computer Science - 29.05.2020
USB software security tool catches 26 bugs across operating systems
USB software security tool catches 26 bugs across operating systems
EPFL researchers have developed a new tool called USBFuzz, which they have already used to detect 26 vulnerabilities in the USB driver stacks of widely used operating systems including Linux, Windows, and macOS. USB driver stacks are components that help computers communicate with external devices via the Universal Serial Bus (USB) connection.

Computer Science - Life Sciences - 28.05.2020
Single-cell software supported by a Chan Zuckerberg Initiative grant
Software for the analysis and visualization of single-cell data is one of the projects that will receive funding as part of CZI's Essential Open Source Software for Science (EOSS) program. The Chan Zuckerberg Initiative (CZI) announced $3.8 million in funding for 23 grants to support open-source software projects essential to biomedical research, enabling software maintenance, growth, development, and community engagement.

Computer Science - 26.05.2020
Search-and-rescue algorithm identifies hidden
Search-and-rescue algorithm identifies hidden "traps" in ocean waters
Method may help quickly identify regions where objects - and missing people - may have converged. The ocean is a messy and turbulent space, where winds and weather kick up waves in all directions. When an object or person goes missing at sea, the complex, constantly changing conditions of the ocean can confound and delay critical search-and-rescue operations.

Health - Computer Science - 22.05.2020
New contact tracing app for COVID-19 spread designed to protect privacy
A new app developed at Imperial College London aims to protect privacy whilst trying to minimise coronavirus spread. As part of their efforts to slow the outbreak of coronavirus , international governments, research institutions and industry are developing contact tracing apps to record interactions between people.

Physics - Computer Science - 20.05.2020
Quantum leap: Bristol's photon discovery is a major step toward large-scale quantum technologies
Quantum leap: Bristol’s photon discovery is a major step toward large-scale quantum technologies
The development of quantum technologies promises to have a profound impact across science, engineering and society. Quantum computers at scale will be able to solve problems intractable on even the most powerful current supercomputers, with many revolutionary applications, for example, in the design of new drugs and materials.

Life Sciences - Computer Science - 20.05.2020
Complex data workflows contribute to reproducibility crisis
Markedly different conclusions about brain scans reached by 70 independent teams highlight the challenges to data analysis in the modern era of mammoth datasets and highly flexible processing workflows. Scientific research has changed dramatically in the centuries since Galileo, Newton and Darwin. Whereas scientists once often toiled in isolation with homemade experiments and treatises, today collaboration is the norm.

Earth Sciences - Computer Science - 19.05.2020
New technique separates industrial noise from natural seismic signals
New technique separates industrial noise from natural seismic signals
A transformative, cloud-computing approach to analyzing data helps researchers better understand seismic activity For the first time, we were able to identify this noise from some large machines as a distinct signal and pull it from the dataset, allowing us to separate natural signals from anthropogenic ones.

Computer Science - Pharmacology - 18.05.2020
AI successfully used to identify different types of brain injuries
AI successfully used to identify different types of brain injuries
Researchers at Imperial College London and Cambridge have developed an AI algorithm that can detect and identify different types of brain injuries. The researchers found that their machine learning algorithm was able to detect, segment, quantify and differentiate between types of brain lesions using images of CT scans.

Astronomy / Space Science - Computer Science - 14.05.2020
Seeing the Universe Through New Lenses
Seeing the Universe Through New Lenses
Images collected for dark energy telescope project reveal hundreds of new gravitational lens candidates Like crystal balls for the universe's deeper mysteries, galaxies and other massive space objects can serve as lenses to more distant objects and phenomena along the same path, bending light in revelatory ways.

Computer Science - 11.05.2020
Safe landings in rough seas
Safe landings in rough seas
Landing a helicopter on the deck of a ship in poor visibility is a big challenge even for the most experienced of pilots. Researchers at the Technical University of Munich (TUM) have developed an assistance system that displays key information in the visor of the pilot's helmet-mounted display. This permits precise landing approaches - even in adverse weather conditions.

Computer Science - 08.05.2020
3 Questions: The rapidly unfolding future of smart fabrics
3 Questions: The rapidly unfolding future of smart fabrics
Soon, your clothes may be able to monitor your vital signs, analyze the results, and warn you of health risks. In an opinion piece published in the journal Matter, members of the Fibers@MIT research group recently laid out a detailed vision for how the rapidly growing field of  advanced fibers and fabrics could transform many aspects of our lives.

Computer Science - 06.05.2020
New AI Enables Teachers to Rapidly Develop Intelligent Tutoring Systems
"Teaching computers to teach” is key, say Carnegie Mellon researchers Intelligent tutoring systems have been shown to be effective in helping to teach certain subjects, such as algebra or grammar, but creating these computerized systems is difficult and laborious. Now, researchers at Carnegie Mellon University have shown they can rapidly build them by, in effect, teaching the computer to teach.

Computer Science - 05.05.2020
A 'veil of darkness' reduces racial bias in traffic stops
A ’veil of darkness’ reduces racial bias in traffic stops
After analyzing 95 million traffic stop records, filed by officers with 21 state patrol agencies and 35 municipal police forces from 2011 to 2018, researchers concluded that "police stops and search decisions suffer from persistent racial bias." The largest-ever study of alleged racial profiling during traffic stops has found that blacks, who are pulled over more frequently than whites by day, are much less likely to be stopped after sunset, when "a veil of darkness" masks their race.

Physics - Computer Science - 30.04.2020
Catching nuclear smugglers: Fast algorithm could enable cost-effective detectors at borders
Catching nuclear smugglers: Fast algorithm could enable cost-effective detectors at borders
A new algorithm could enable faster, less expensive detection of weapons-grade nuclear materials at borders, quickly differentiating between benign and illicit radiation signatures in the same cargo. The development is a collaboration among researchers at the University of Michigan, University of Illinois, Los Alamos National Laboratory, Heriot-Watt University (Edinburgh, Scotland) and University of Edinburgh.

Computer Science - Health - 30.04.2020
FitByte Uses Sensors on Eyeglasses To Automatically Monitor Diet
CMU researchers propose a multimodal system to track foods, liquid intake Food plays a big role in our health, and for that reason many people trying to improve their diet often track what they eat. A new wearable from researchers in Carnegie Mellon University's School of Computer Science helps wearers track their food habits with high fidelity.

Health - Computer Science - 29.04.2020
Researchers devise new model to track COVID-19’s spread
Yale University researchers and colleagues in Hong Kong and China have developed an approach for rapidly tracking population flows that could help policymakers worldwide more effectively assess risk of disease spread and allocate limited resources as they combat the COVID-19 pandemic. The approach, described in a study published early online on April 29 , differs from existing epidemiological models by exploiting real-time data about population flows, such as phone use data and other "big data" sources that can accurately quantify the movement of people.

Computer Science - Physics - 29.04.2020
New Active Compounds from the Computer
Open-source platform "VirtualFlow" examines billions of molecules in a very short time / Joint press release issued by Freie Universität Berlin and Technische Universität Berlin No 071/2020 from Apr 29, 2020 The development of new active compounds in medicine can take many years and potentially cost billions of euros.

Chemistry - Computer Science - 28.04.2020
Surveying the lipid landscape
Surveying the lipid landscape
Software LipidCreator enables researchers to characterise 60 lipid classes in cells with mass spectrometry Researchers increasingly aim at utilising the manifold functions of lipids in our bodies, e.g. as blood fats or in blood coagulation, to better understand and predict diseases. An international team around Robert Ahrends at the Faculty of Chemistry of the University of Vienna now presented a groundbreaking tool for efficient lipid analysis in the journal "Nature Communications".

Computer Science - Health - 28.04.2020
Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19
Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19
A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) - scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes - have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.

Social Sciences - Computer Science - 27.04.2020
What social media can reveal about a community's well-being
What social media can reveal about a community’s well-being
Stanford scholar Johannes Eichstaedt has built an algorithm that can provide, in principle, a real-time indication of community well-being by analyzing social media posts. Social media can reveal more than just a single person's mood or frame of mind. It can capture the psychological states of an entire population, according to new research by Stanford scholar Johannes Eichstaedt.
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