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Chemistry - Computer Science - 23.08.2021
Machine learning links material composition and performance in catalysts
Machine learning links material composition and performance in catalysts
In a finding that could help pave the way toward cleaner fuels and a more sustainable chemical industry, researchers at the University of Michigan have used machine learning to predict how the compositions of metal alloys and metal oxides affect their electronic structures. The electronic structure is key to understanding how the material will perform as a mediator, or catalyst, of chemical reactions.

Life Sciences - Computer Science - 20.08.2021
LiftPose3D: Turning 2D images into 3D models
LiftPose3D: Turning 2D images into 3D models
Scientists have developed a deep learning-based method called LiftPose3D, which can reconstruct 3D animal poses using only 2D poses from one camera. This method will have impact in neuroscience and bioinspired robotics. "When people perform experiments in neuroscience they have to make precise measurements of behavior," says Professor Pavan Ramdya at EPFL's School of Life Sciences, who led the study.

Computer Science - 13.08.2021
CMU Computer Scientists Use Algorithm To Innovate Roots of Democracy
Carnegie Mellon University When 30 Michiganders convened last fall to draw up recommendations for tackling COVID-19, an algorithm developed in part by Carnegie Mellon University computer scientists helped bring them together. The Citizens' Panel on COVID-19 , organized in Michigan by the nonprofit of by for , is an example of a citizens' assembly - a political instrument with roots in ancient Greece that is experiencing a modern-day resurgence.

Computer Science - Microtechnics - 13.08.2021
Faster path planning for rubble-roving robots
Faster path planning for rubble-roving robots
Robots that need to use their arms to make their way across treacherous terrain just got a speed upgrade with a new path planning approach, developed by University of Michigan researchers. The improved algorithm path planning algorithm found successful paths three times as often as standard algorithms, while needing much less processing time.

Social Sciences - Computer Science - 13.08.2021
'Likes' and 'shares' teach people to express more outrage online
’Likes’ and ’shares’ teach people to express more outrage online
Social media platforms like Twitter amplify expressions of moral outrage over time because users learn such language gets rewarded with an increased number of "likes" and "shares," a new Yale University study shows. And these rewards had the greatest influence on users connected with politically moderate networks.

Music - Computer Science - 12.08.2021
Do You Hear What I Hear? A Cyberattack
Carnegie Mellon University Cybersecurity analysts deal with enormous amounts of data, especially when monitoring network traffic. Printed out, a single day's worth of network traffic may rival a thick phonebook. Detecting an abnormality is like finding a needle in a haystack. "It's an ocean of data," said Yang Cai (left), a senior systems scientist in Carnegie Mellon University's CyLab.

Computer Science - Media - 10.08.2021
Do we live in online bubbles?
Do we live in online bubbles?
Taking a novel perspective, researchers have studied political polarization in online news consumption rather than content production, looking at whether the backlink structure of online news networks alone, or users' explicit reading choices contribute to the partisan divide.

Computer Science - 10.08.2021
Robots who goof: Can we trust them again?
When robots make mistakes-and they do from time to time-reestablishing trust with human co-workers depends on how the machines own up to the errors and how human-like they appear, according to University of Michigan research. In a study that examined multiple trust repair strategies-apologies, denials, explanations or promises-the researchers found that certain approaches directed at human co-workers are better than others and often are impacted by how the robots look.

Computer Science - 04.08.2021
A post-quantum chip with hardware trojans
A post-quantum chip with hardware trojans
Chip with secure encryption will help in fight against hackers A team at the Technical University of Munich (TUM) has designed and commissioned the production of a computer chip that implements post-quantum cryptography very efficiently. Such chips could provide protection against future hacker attacks using quantum computers.

Computer Science - 03.08.2021
Running quantum software on a classical computer
Two physicists, from EPFL and Columbia University, have introduced an approach for simulating the quantum approximate optimization algorithm using a traditional computer. Instead of running the algorithm on advanced quantum processors, the new approach uses a classical machine-learning algorithm that closely mimics the behavior of near-term quantum computers.

Physics - Computer Science - 02.08.2021
New viable means of storing information for quantum technologies?
New viable means of storing information for quantum technologies?
Quantum information could be behind the next technological revolution. By analogy with the bit in classical computing, the qubit is the basic element of quantum computing. However, demonstrating the existence of this information storage unit and using it remains complex, and hence limited.

Life Sciences - Computer Science - 02.08.2021
From imaging neurons to measuring their true activity
From imaging neurons to measuring their true activity
Neuroscientists often use calcium imaging to analyze neuronal activity in the intact brain. But this method provides only an indirect and slow measure of action potential firing, creating the need to reliably reconstruct action potentials from calcium signals. Peter Rupprecht, a former PhD candidate in the Friedrich group, developed a novel algorithm based on machine learning that is very effective, easy to use, and highly robust.

Health - Computer Science - 27.07.2021
UK scientists designed world’s most sophisticated COVID-19 sequencing system - here’s how they did it
New bioinformatics software and cloud computing approaches developed at the University of Birmingham, have enabled the UK's COVID-19 genome sequencing effort to be the most sophisticated in the world. The system, called CLIMB-COVID was designed for the COVID-19 Genomics UK (COG-UK) consortium, set up in March 2020 to tackle the huge challenge of rapidly sequencing SARS-CoV-2 genomes.

Computer Science - Transport - 23.07.2021
New Algorithm May Help Autonomous Vehicles Navigate Narrow, Crowded Streets
Carnegie Mellon University CMU research could help solve last mile delivery challenges It is a scenario familiar to anyone who has driven down a crowded, narrow street. Parked cars line both sides, and there isn't enough space for vehicles traveling in both directions to pass each other. One has to duck into a gap in the parked cars or slow and pull over as far as possible for the other to squeeze by.

Health - Computer Science - 14.07.2021
Support for India During COVID-19 Surge
Carnegie Mellon University Research identified tweets from Pakistan supportive of India during crisis India and Pakistan have fought four wars in the past few decades, but when India faced an oxygen shortage in its hospitals during its recent COVID-19 surge, Pakistan offered to help. On Twitter, hashtags like #IndiaNeedsOxygen and #PakistanStandsWithIndia trended.

Computer Science - Astronomy / Space Science - 07.07.2021
Scientists use artificial intelligence to detect gravitational waves
Argonne, UChicago researchers create method to dramatically reduce data processing time for LIGO detections When gravitational waves were first detected in 2015 by the advanced Laser Interferometer Gravitational-Wave Observatory (LIGO), they sent a ripple through the scientific community, as they confirmed another of Einstein's theories and marked the birth of gravitational wave astronomy.

Computer Science - Physics - 01.07.2021
A new collaboration points to the future of data
EPFL and the Paul Scherrer Institute (PSI) join forces to establish a new PSI research division: Scientific Computing, Theory, and Data. In collaboration with EPFL, the Paul Scherrer Institute (PSI) is officially expanding its own focus areas and establishing a new research division: Scientific Computing, Theory, and Data.

Computer Science - 01.07.2021
A new framework to improve the performance and flexibility of supercomputing
Researchers from the European research project ASPIDE, coordinated by the Universidad Carlos III de Madrid (UC3M), have created a tool and utility pack for high-performance software developers to improve performance and flexibility when creating applications within the supercomputing industry. As a result, they have accelerated massive data processing in mobile telephony industries, the diagnosis of mental illnesses and the detection of parasites in beehives, among other fields.

Computer Science - Astronomy / Space Science - 29.06.2021
Artificial Intelligence pioneered at Oxford to detect floods launches into space | University of Oxford
Artificial Intelligence pioneered at Oxford to detect floods launches into space | University of Oxford
A new technology, developed by Oxford researchers, in partnership with the European Space Agency's (ESA) -lab, will pilot the detection of flood events from space.áIt was deployed on hardware on D'Orbit's upcoming 'Wild Ride' mission being launched by SpaceX's Falcon 9 from Cape Canaveral, 30 June, 20.00 UK time.

Computer Science - Materials Science - 29.06.2021
'Edge of chaos' opens pathway to artificial intelligence discoveries
’Edge of chaos’ opens pathway to artificial intelligence discoveries
Some neuroscience theories suggest the human brain operates best 'at the edge of chaos'. Now scientists in Australia and Japan have found that keeping a nanowire network at the edge of becoming chaotic is the best state for it to produce useful results. Scientists at the University of Sydney and Japan's National Institute for Materials Science ( NIMS ) have discovered that an artificial network of nanowires can be tuned to respond in a brain-like way when electrically stimulated.