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New algorithm aims to protect surgical team members against infection with COVID-19 virus
Researchers have created an algorithm that aims to protect operating room team members who perform urgent and emergency operations from COVID-19. (2020-04-06)
Machine learning offers glimpses into the emotional lives of mice
Using a machine learning algorithm to analyze mouse facial expressions, Nejc Dolensek and colleagues have uncovered the neurological origins of emotional states. (2020-04-02)
Capturing 3D microstructures in real time
Argonne researchers have invented a machine-learning based algorithm for quantitatively characterizing material microstructure in three dimensions and in real time. (2020-04-02)
AI finds 2D materials in the blink of an eye
A research team at The University of Tokyo has introduced a machine-learning algorithm that can scan through microscope images to find 2D materials like graphene. (2020-04-01)
Predicting in-flight air density for more accurate landing
Knowing the air density outside of a spacecraft can have a substantial effect on its angle of descent and ability to hit a specific landing spot. (2020-04-01)
New artificial intelligence system can empower medical professionals in diagnosing skin diseases
Researchers in Korea have developed a deep learning-based artificial intelligence (AI) algorithm that can accurately classify cutaneous skin disorders, predict malignancy, suggest primary treatment options, and serve as an ancillary tool to enhance the diagnostic accuracy of clinicians. (2020-03-31)
Machine learning puts a new spin on spin models
Tokyo, Japan - Researchers from Tokyo Metropolitan University have used machine learning to study spin models, used in physics to study phase transitions. (2020-03-28)
Astronomers use slime mould to map the universe's largest structures
The behaviour of one of nature's humblest creatures and archival data from the NASA/ESA Hubble Space Telescope are helping astronomers probe the largest structures in the Universe. (2020-03-26)
Artificial intelligence identifies optimal material formula
Nanostructured layers boast countless potential properties -- but how can the most suitable one be identified without any long-term experiments? (2020-03-26)
Solving a 50-year-old puzzle in signal processing, part two:
Two Iowa State engineers, who announced the solution to a 50-year-old puzzle in signal processing last fall, have followed up with more research results. (2020-03-25)
Observing phytoplankton via satellite
Thanks to a new algorithm, researchers at the AWI can now use satellite data to determine in which parts of the ocean certain types of phytoplankton are dominant. (2020-03-19)
Learning to synthesize: Robust phase retrieval at low photon counts
An artifact-free computational approach to extract the phase of light from noisy intensity signals improves imaging of transparent objects, such as biological cells, under low light conditions. (2020-03-19)
Composing new proteins with artificial intelligence
Scientists have long studied how to improve proteins or design new ones. (2020-03-17)
Researchers sniff out AI breakthroughs in mammal brains
New Cornell research explains some of these functions through a computer algorithm inspired by the mammalian olfactory system. (2020-03-16)
Fast-charging damages electric car batteries
Commercial fast-charging stations subject electric car batteries to high temperatures and high resistance that can cause them to crack, leak, and lose their storage capacity, write engineers at the University of California, Riverside in a new study published in Energy Storage. (2020-03-11)
Astronomers use slime mold model to reveal dark threads of the cosmic web
A computational approach inspired by the growth patterns of a bright yellow slime mold has enabled a team of astronomers and computer scientists at UC Santa Cruz to trace the filaments of the cosmic web that connects galaxies throughout the universe. (2020-03-10)
Slime mold simulations used to map dark matter holding universe together
The behavior of one of nature's humblest creatures is helping astronomers probe the largest structures in the universe. (2020-03-10)
How drones can hear walls
One drone, four microphones and a loudspeaker: nothing more is needed to determine the position of walls and other flat surfaces within a room. (2020-03-06)
Machine learning illuminates material's hidden order
A Cornell collaboration led by physicist Brad Ramshaw, the Dick & Dale Reis Johnson Assistant Professor in the College of Arts and Sciences, used a combination of ultrasound and machine learning to narrow the possible explanations for what happens to this quantum material when it enters this so-called ''hidden order.'' (2020-03-06)
Solving a mystery in 126 dimensions
One of the fundamental mysteries of chemistry has been solved by Australian scientists - and the result may have implications for future designs of solar cells, organic light-emitting diodes and other next gen technologies. (2020-03-05)
Artificial Intelligence to improve the precision of mammograms
The Artificial Intelligence techniques, used in combination with evaluations by expert radiologists, improve the precision in the detection of cancer through mammograms. (2020-03-05)
Discovery of accurate and far more efficient algorithm for point set registration problems
Point set registration problems, i.e. finding corresponding points between shapes represented as point sets, are important in a variety of fields, so algorithms have been developed. (2020-03-05)
Drones can now scan terrain and excavations without human intervention
Drones can now scan terrain and excavations without human intervention. (2020-03-05)
Skoltech scientists break Google's quantum algorithm
In the near term, Google has devised new quantum enhanced algorithms that operate in the presence of realistic noise. (2020-03-05)
Using artificial intelligence to assess ulcerative colitis
Researchers from Tokyo Medical and Dental University (TMDU) have developed an artificial intelligence system with a deep neural network that can effectively evaluate endoscopic data from patients with ulcerative colitis, which is a type of inflammatory bowel disease, without the need for biopsy collection. (2020-03-05)
Texas A&M researchers develop flooding prediction tool
By incorporating the architecture of city drainage systems and readings from flood gauges into a comprehensive statistical framework, researchers at Texas A&M University can now accurately predict the evolution of floods in extreme situations like hurricanes. (2020-03-03)
Profit-prediction system may lower suicide rates among indebted Indian farmers
Researchers at Penn State are taking steps to address the alarming rate of suicides among indebted farmers in India, by developing a deep-learning algorithm as the first step in a decision-support system that could predict future market values of crops. (2020-03-03)
ITMO scientists develop new algorithm that can predict population's demographic history
Bioinformatics scientists from ITMO University have developed a programming tool that allows for quick and effective analysis of genome data and using it as a basis for building the most probable models of demographic history of populations of plants, animals and people. (2020-03-02)
Scientists pair machine learning with tomography to learn about material interfaces
Researchers have put a new technique based on machine learning to work uncovering the secrets of buried interfaces and edges in a material. (2020-03-02)
Predicting intentional accounting misreporting
Taking a fine-tooth comb over the words in a firm's annual report, instead of the numbers, could better predict intentional misreporting, says SMU Assistant Professor Richard Crowley. (2020-03-01)
Speak math, not code
Writing algorithms in mathematics rather than code is not only more elegant but also more efficient, says 2013 Turing Award winner Leslie Lamport. (2020-03-01)
New algorithm tracks pediatric sepsis epidemiology using clinical data
Researchers at Children's Hospital of Philadelphia (CHOP) have developed a novel computational algorithm to track the epidemiology of pediatric sepsis, allowing for the collection of more accurate data about outcomes and incidence of the condition over time, which is essential to the improvement of care. (2020-02-27)
How do zebrafish get their stripes? New data analysis tool could provide an answer
A new mathematical tool developed at Brown could help scientists better understand how zebrafish get their stripes as well as other self-assembled patterns in nature. (2020-02-27)
Fur-friendly 'wearable for pets' developed at Imperial
Imperial College London researchers have invented a new health tracking sensor for pets and people that monitors vital signs through fur or clothing. (2020-02-26)
Intervention to help GPs identify and treat patients with hepatitis C found to be effective
The first UK clinical trial to increase the identification and treatment of hepatitis C (HCV) patients in primary care has been found to be effective, acceptable to staff and highly cost-effective for the NHS. (2020-02-26)
AI has helped to better understand how human brain performs face recognition
Scientists from Salk Institute (USA), Skoltech (Russia), and Riken Center for Brain Science (Japan) investigated a theoretical model of how populations of neurons in the visual cortex of the brain may recognize and process faces and their different expressions and how they are organized. (2020-02-25)
Stabilizing freeze-dried cellular machinery unlocks cell-free biotechnology
A low-cost approach improves cell-free biotechnology's utility for bio-manufacturing and portability for field applications. (2020-02-25)
ETRI develops optical communications technology to double data transfer speed
Researchers in South Korea have developed a new optical communications technology that can transfer data in lightning speed. (2020-02-24)
Swarming robots avoid collisions, traffic jams
Researchers have developed the first decentralized algorithm with a collision-free, deadlock-free guarantee and validated it on a swarm of 100 autonomous robots in the lab. (2020-02-24)
How earthquakes deform gravity
Researchers at the German Research Centre for Geosciences GFZ in Potsdam have developed an algorithm that for the first time can describe a gravitational signal caused by earthquakes with high accuracy. (2020-02-21)
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