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Computer Science - Life Sciences - 01.10.2021
Deep-learning-based image analysis is now just a click away
Deep-learning-based image analysis is now just a click away
Under an initiative by EPFL's Center for Imaging, a team of engineers from EPFL and Universidad Carlos III de Madrid have developed a plugin that makes it easier to incorporate artificial intelligence into image analysis for life-science research. The plugin, called deepImageJ, is described in a paper appearing today.

Physics - Computer Science - 28.09.2021
Cracking Open Strong Field Quantum Electrodynamics
Cracking Open Strong Field Quantum Electrodynamics
Berkeley Lab's researchers' unique capabilities aided international effort to probe fundamental questions in physics -By William Schulz A newly published theoretical and computer modeling study suggests that the world's most powerful lasers might finally crack the elusive physics behind some of the most extreme phenomena in the universe - gamma ray bursts, pulsar magnetospheres, and more.

Physics - Computer Science - 23.09.2021
Augmented reality for testing nuclear components
Augmented reality for testing nuclear components
A new machine learning platform detects and quantifies radiation-induced defects instantaneously and could be extended to interpret other microscopy data A new machine vision system for testing materials and parts for nuclear reactors shows damage, such as swelling and defects due to radiation, in real time.

Physics - Computer Science - 22.09.2021
Simplifying quantum systems
Simplifying quantum systems
If only it were less prone to error, quantum physics might already be giving us instant solutions to seemingly unsolvable problems. researchers are therefore working to develop systems that are more robust. In crude terms, our digitally driven information society is based on a simple binary opposition: 0 or 1.

Computer Science - Physics - 22.09.2021
Computer scientists take on the quantum challenge
Computer scientists take on the quantum challenge
For a long time, the development of quantum computers was concerned with theoretical and hardware aspects. But as the focus shifts towards programming, software and security issues, the classical computer sciences are coming back into play. Physicists had long nurtured the ambition to build a quantum computer.

Computer Science - Pharmacology - 20.09.2021
Augmented reality helps tackle fear of spiders
Augmented reality helps tackle fear of spiders
Researchers from the University of Basel have developed an augmented reality app for smartphones in order to help people reduce their fear of spiders. The app has already shown itself to be effective in a clinical trial, with subjects experiencing less fear of real spiders after completing just a few training units with the app at home.

Health - Computer Science - 16.09.2021
Groundbreakers: U of T’s Data Sciences Institute to help researchers find answers to their biggest questions
Researchers working with the multi-university CHIME radio telescope in B.C. are collaborating with experts at U of T's Data Sciences Institute to solve computational and processing problems (photo courtesy of the Chime Collaboration) When University of Toronto astronomer Bryan Gaensler looks up at the night sky, he doesn't just see stars - he sees data.

Health - Computer Science - 15.09.2021
World first for AI and machine learning to treat COVID-19 patients worldwide
World first for AI and machine learning to treat COVID-19 patients worldwide
Addenbrooke's Hospital in Cambridge along with 20 other hospitals from across the world and healthcare technology leader, NVIDIA, have used artificial intelligence (AI) to predict Covid patients' oxygen needs on a global scale. Creating software to match the performance of our best radiologists is complex, but a truly transformative aspiration Fiona Gilbert The research was sparked by the pandemic and set out to build an AI tool to predict how much extra oxygen a Covid-19 patient may need in the first days of hospital care, using data from across four continents.

Computer Science - Health - 15.09.2021
Machine learning algorithm to diagnose deep vein thrombosis
A team of researchers are developing the use of an artificial intelligence (AI) algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans, potentially cutting down long patient waiting lists and avoiding patients unnecessarily receiving drugs to treat DVT when they don't have it.

Life Sciences - Computer Science - 13.09.2021
AI standards in biomedical research
Guidelines published , to ensure quality and reproducibility of predictive methods An international group of scientists, including the ELIXIR Machine Learning Focus Group , developed a set of guidelines for better reporting standards for AI methods aiming to classify biomedical data. Examples of such methods are machine learning predictors that try to identify, based on genetic and other data, whether someone suffers from a particular rare disease or predictive methods that aim to identify the drug to which a cancer patient would respond best.

Computer Science - Social Sciences - 06.09.2021
Using video for the early detection of autism
Using video for the early detection of autism
Using artificial intelligence, a team from the UNIGE has developed a device for the early detection of autism spectrum disorder in children. Individuals affected by autism spectrum disorder often present communication issues and difficulties in social interactions. Although very frequent, this disorder is challenging to diagnose before the age of five.

Computer Science - 06.09.2021
Stretchy robot worms could inch their way into new tech applications
Super-stretchy wormlike robots capable of 'feeling' their surroundings could find applications in industry and prosthetics, scientists say. A team of engineers from the University of Glasgow have developed robots with forms of motion inspired by the movements of inchworms and earthworms. The researchers hope that their breakthrough could lead to a new generation of robots capable of autonomously exploring difficult-to-reach places.

Physics - Computer Science - 02.09.2021
Way to check that quantum computers return accurate answers
Way to check that quantum computers return accurate answers
Quantum computers become ever more powerful, but how can we be sure that the answers they return are accurate? A team of physicists from Vienna, Innsbruck, Oxford, and Singapore solves this problem by letting quantum computers check each other. Quantum computers are advancing at a rapid pace and are already starting to push the limits of the world's largest supercomputers.

Computer Science - 01.09.2021
Using machine learning to understand complex auctions
New AI algorithm as a tool for economists Using a new machine learning algorithm, a team at the Technical University of Munich (TUM) has succeeded in analyzing complex markets and their equilibrium strategies. Until now, such analyses were limited to very simple auction markets. The new numerical method opens up new possibilities for economic theory and new applications as in wireless spectrum auctions, among others.

Computer Science - Life Sciences - 31.08.2021
Machine Learning Algorithm Revolutionizes How Scientists Study Behavior
Carnegie Mellon University B-SOiD is an open source, unsupervised algorithm that can discover and identify behaviors without user input To Eric Yttri , assistant professor of biological sciences and Neuroscience Institute faculty at Carnegie Mellon University, the best way to understand the brain is to watch how organisms interact with the world.

Computer Science - Physics - 25.08.2021
Optical technology can slash the energy required by AI
Optical technology can slash the energy required by AI
EPFL engineers are pioneering an energy-saving technology that uses fiber optics to boost the performance of supercomputers. Optical technology is used for transmitting, storing, displaying and identifying data. It provides the processing speed that data centers need by offering efficient means for communication and analysis operations.

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.
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