Computer Science

Results 101 - 120 of 1245.

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.

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. In the past decade it seems political polarization has been on the rise, as measured by voting behavior and general affect towards opposing partisans and their parties.

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.