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Russian developers created a platform for self-testing of AI medical services
Experts from the Center for Diagnostics and Telemedicine have developed a platform for self-testing services which is based on artificial intelligence and designed for medical tasks, such as for analyzing diagnostic images. (2020-08-07)
Changes in land evaporation shape the climate
An international team of Hungarian, American and Chinese scientists have demonstrated that an existing calibration-free version of the CR method that inherently tracks the aridity changes of the environment in each step of the calculations can better detect long-term trends in continental-scale land evaporation rates than a recently developed and globally calibrated one without such dynamic adjustments to aridity. (2020-08-04)
Quantum machines learn "quantum data"
Skoltech scientists have shown that quantum-enhanced machine learning can be used on quantum (as opposed to classical) data, overcoming a significant slowdown common to these applications and opening a ''fertile ground to develop computational insights into quantum systems''. (2020-07-31)
Artificial intelligence could speed up and improve Alzheimer's diagnosis
Research from the University of Sheffield's Neuroscience Institute examines how the routine use of Artificial Intelligence (AI) in healthcare could help to relieve the economic impact neurodegenerative diseases, such as Alzheimer's, put on the NHS (2020-07-28)
Artificial intelligence finds patterns of mutations and survival in tumour images
Scientists have used artificial intelligence to search for patterns of molecular abnormalities in tumour tissue sections across 28 cancer types. (2020-07-27)
UVA pioneers study of genetic diseases with quantum computing
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases - even before quantum computers are a thing. (2020-07-22)
Psychology: The most personal device
Everyone who uses a smartphone unavoidably generates masses of digital data that are accessible to others, and these data provide clues to the user's personality. (2020-07-17)
Recognising fake images using frequency analysis
They look deceptively real, but they are made by computers: so-called deep-fake images are generated by machine learning algorithms, and humans are pretty much unable to distinguish them from real photos. (2020-07-16)
Machine learning accurately predicts who's who in the health care workforce
Until recently, economists, policy makers and workforce experts have relied on outdated and inaccurate snapshots of the US physician workforce, making it especially difficult to predict the need and availability of health care services across the country. (2020-07-14)
Parasite infestations revealed by tiny chicken backpacks
Blood-feeding livestock mites can be detected with wearable sensor technology nicknamed ''Fitbits for chickens.'' To help farmers detect mite infestations, a team of entomologists, computer scientists, and biologists led by UC Riverside entomologist Amy Murillo has created a new insect detection system. (2020-07-13)
Arctic Ocean 'regime shift'
Stanford scientists find the growth of phytoplankton in the Arctic Ocean has increased 57 percent over just two decades, enhancing its ability to soak up carbon dioxide. (2020-07-09)
Context reduces racial bias in hate speech detection algorithms
When it comes to accurately flagging hate speech on social media, context matters, says a new USC study aimed at reducing errors that could amplify racial bias. (2020-07-06)
New algorithm for personalized models of human cardiac electrophysiology
Researchers from the Moscow Institute of Physics and Technology, Kazan Federal University, and George Washington University have proposed an algorithm for producing patient-specific mathematical models describing the electrical excitation of human heart cells. (2020-07-02)
Clinical-grade wearables offer continuous monitoring for COVID-19
Researchers have introduced a novel wearable device and set of algorithms specifically tailored to catch early signs and symptoms associated with COVID-19 and to monitor patients as the illness progresses. (2020-07-01)
Coordinating complex behaviors between hundreds of robots
Researchers from Duke University propose a new approach to finding an optimal solution for controlling large numbers of robots collaboratively completing a set of complex linear temporal logic commands called STyLuS*, for large-Scale optimal Temporal Logic Synthesis, that can solve problems massively larger than what current algorithms can handle, with hundreds of robots, tens of thousands of rooms and highly complex tasks, in a small fraction of the time. (2020-07-01)
Machine learning has a flaw; it's gullible
Research forthcoming in Strategic Management Journal explores potential biases that limit the effectiveness of ML process technologies and the scope for human capital to be complementary in reducing such biases. (2020-06-23)
Product recommendation systems can help with search of antiviral drugs
Scientists from Skoltech and the Chumakov Federal Scientific Center for Research and Development of Immune-and-Biological Products of RAS checked the ability of artificial intelligence that suggest products to buy, recommend new antiviral compounds. (2020-06-22)
22,000 tiny tremblors illustrate 3D fault geometry and earthquake swarm evolution
By mapping the more than 22,000 tremblors, researchers composed a detailed, three-dimensional image of the complex fault structure below southern California's Cahuilla Valley. (2020-06-18)
New structural 'map' solves mysteries of gigantic gene regulator
Structural biology has been used to 'map' part of a protein called SMCHD1, explaining how some changes in SMCHD1 cause certain developmental and degenerative conditions. (2020-06-17)
Borrowing from robotics, scientists automate mapping of quantum systems
Riddhi Gupta has taken an algorithm used for autonomous vehicles and adapted it to help characterise and stabilise quantum technology. (2020-06-16)
AI reduces 'communication gap' for nonverbal people by as much as half
Researchers have used artificial intelligence to reduce the 'communication gap' for nonverbal people with motor disabilities who rely on computers to converse with others. (2020-06-15)
The first intuitive programming language for quantum computers
Several technical advances have been achieved recently in the pursuit of powerful quantum computers. (2020-06-15)
From clickbait to transparency: Reimagining the online world
Behavioral science perspectives on an alternative Internet. (2020-06-15)
A clique away from more efficient networks
An old branch of mathematics finds a fertile new field of application. (2020-06-14)
Skoltech researchers use machine learning to aid oil production
Skoltech scientists and their industry colleagues have found a way to use machine learning to accurately predict rock thermal conductivity, a crucial parameter for enhanced oil recovery. (2020-06-10)
Artificial intelligence enhances brain tumour diagnosis
A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access. (2020-06-09)
Army researchers enhance communications for multi-agent teaming
Army researchers are collaborating to enhance multi-agent teaming capabilities for the Soldier that will lead to improved situational awareness and communication capabilities on the battlefield. (2020-06-08)
Physicists create quantum-inspired optical sensor
Researchers from the MIPT, joined by a colleague from Argonne National Laboratory, U.S., have implemented an advanced quantum algorithm for measuring physical quantities using simple optical tools. (2020-06-05)
Researchers have developed a first-principles quantum Monte Carlo package called TurboRVB
'TurboRVB' is a first-principles quantum Monte Carlo software package developed by Prof. (2020-06-01)
Vision: Observing the world during childhood affects the rest of life
Much of what we will be as adults depends on the first years of life, on what we simply observe happening around us and not only on what we are taught explicitly. (2020-05-29)
Mapping immune cells in brain tumors
It is not always possible to completely remove malignant brain tumors by surgery so that further treatment is necessary. (2020-05-28)
Scientists devise a way to determine the viability of predicted 2D materials
An international team of researchers from Russia, Sweden and South Korea has proposed a new way to test the structural stability of predicted 2D materials. (2020-05-27)
Deep learning: A new engine for ecological resource research
Deep learning is driven by big data, which brings new opportunities for target classification, detection, semantic segmentation, instance segmentation, and regression in ecological resource research. (2020-05-21)
Algorithmic autos
Connected and automated vehicles use technology such as sensors, cameras and advanced control algorithms to adjust their operation to changing conditions with little or no input from drivers. (2020-05-19)
Artificial intelligence helps researchers up-cycle waste carbon
Researchers at University of Toronto Engineering and Carnegie Mellon University are using artificial intelligence (AI) to accelerate progress in transforming waste carbon into a commercially valuable product with record efficiency. (2020-05-13)
AI techniques in medical imaging may lead to incorrect diagnoses
Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests. (2020-05-12)
Powerful new AI technique detects and classifies galaxies in astronomy image data
Researchers at UC Santa Cruz have developed a powerful new computer program called Morpheus that can analyze astronomical image data pixel by pixel to identify and classify all of the galaxies and stars in large data sets from astronomy surveys. (2020-05-12)
Computer vision helps SLAC scientists study lithium ion batteries
New machine learning methods bring insights into how lithium ion batteries degrade, and show it's more complicated than many thought. (2020-05-08)
Computational imaging benefits from untrained neural network
In a recent study, investigators from the Chinese Academy of Sciences described how they combined an untrained neural network and physics knowledge to eliminate the limitations of deep-learning-based CI methods. (2020-05-06)
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. (2020-04-30)
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