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Current Algorithms News and Events, Algorithms News Articles.
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Going with the floe: Sea ice movements trace dynamics transforming the new Arctic
UC Riverside-led research is the first to use MODIS satellite imagery to understand long-term ocean movements from sea ice dynamics. (2019-11-14)
Chemistry -- Five-fold boost in formaldehyde yield
Environmentally benign methods for the industrial production of chemicals are urgently needed. (2019-11-13)
AI-driven single blood cell classification
For the first time, researchers from Helmholtz Zentrum München and the University Hospital of LMU Munich show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia (AML). (2019-11-12)
XenonPy.MDL -- Comprehensive library of pre-trained models for materials properties
A joint research group consisting of the Institute of Statistical Mathematics (ISM) and the National Institute for Materials Science (NIMS) has developed approximately 140,000 machine learning models capable of predicting 45 different types of physical properties in small molecules, polymers and inorganic materials. (2019-11-05)
Technique helps robots find the front door
MIT engineers have developed a navigation method that doesn't require mapping an area in advance. (2019-11-04)
Agriculture of the future: Neural networks have learned to predict plant growth
Scientists from Skoltech have trained neural networks to evaluate and predict the plant growth pattern taking into account the main influencing factors and propose the optimal ratio between the nutrient requirements and other growth-driving parameters. (2019-10-31)
This AI birdwatcher lets you 'see' through the eyes of a machine
It can take years of birdwatching experience to tell one species from the next. (2019-10-31)
Machine learning leads to novel way to track tremor severity in Parkinson's patients
Physical exams only provide a snapshot of a Parkinson's patient's daily tremor experience. (2019-10-30)
Widely used health care prediction algorithm found to be biased against blacks
A new study finds that a type of software program that determines who gets access to high-risk heath care management programs routinely lets healthier whites into the programs ahead of blacks who are less healthy. (2019-10-24)
York University vision scientists disprove 60-year-old perception theory
Vision researchers at York University have disproved a long-standing theory of how the human vision system processes images, using computational models and human experiments. (2019-10-24)
Engineers solve 50-year-old puzzle in signal processing
Engineers Alexander Stoytchev and Vladimir Sukhoy have solved a 50-year-old puzzle in signal processing. (2019-10-10)
Hard as ceramic, tough as steel: Newly discovered connection could help design of nextgen alloys
A new way to calculate the interaction between a metal and its alloying material could speed the hunt for a new material that combines the hardness of ceramic with the resilience of metal. (2019-10-02)
Researchers synthesize 'impossible' superconductor
Researchers from the US, Russia, and China have bent the rules of classical chemistry and synthesized a 'forbidden' compound of cerium and hydrogen -- CeH9 -- which exhibits superconductivity at a relatively low pressure of 1 million atmospheres. (2019-10-01)
The Lancet Digital Health: First systematic review and meta-analysis suggests artificial intelligence may be as effective as health professionals at diagnosing disease
Artificial intelligence (AI) appears to detect diseases from medical imaging with similar levels of accuracy as health-care professionals, according to the first systematic review and meta-analysis, synthesising all the available evidence from the scientific literature published in The Lancet Digital Health journal. (2019-09-24)
Artificial intelligence probes dark matter in the universe
A team of physicists and computer scientists at ETH Zurich has developed a new approach to the problem of dark matter and dark energy in the universe. (2019-09-18)
New algorithm can distinguish cyberbullies from normal Twitter users with 90% accuracy
A team of researchers, including faculty at Binghamton University, have developed machine learning algorithms which can successfully identify bullies and aggressors on Twitter with 90 percent accuracy. (2019-09-16)
Can AI spot liars?
Though algorithms are increasingly being deployed in all facets of life, a new USC study has found that they fail basic tests as truth detectors. (2019-09-04)
Spreading light over quantum computers
Scientists at Linköping University have shown how a quantum computer really works and have managed to simulate quantum computer properties in a classical computer. (2019-09-03)
AI learns complex gene-disease patterns
A deep learning model improves the ability to identify genes potentially involved in disease. (2019-09-02)
Women are beautiful, men rational
Men are typically described by words that refer to behavior, while adjectives ascribed to women tend to be associated with physical appearance. (2019-08-27)
New brain map could improve AI algorithms for machine vision
An international team of researchers led by neuroscientists from CSHL and University of Sydney published an updated view on the primate brain's visual system organization, and they found that parts of the primate visual system may work differently than previously thought. (2019-08-21)
Machine learning models help clinicians identify people who need advanced depression care
Regenstrief Institute and Indiana University researchers have created decision models capable of predicting which patients might need more treatment for their depression than what their primary care provider can offer. (2019-08-20)
The brain inspires a new type of artificial intelligence
Using advanced experiments on neuronal cultures and large scale simulations, scientists at Bar-Ilan University have demonstrated a new type of ultrafast artifical intelligence algorithms -- based on the very slow brain dynamics -- which outperform learning rates achieved to date by state-of-the-art learning algorithms. (2019-08-09)
Neural networks will help manufacture carbon nanotubes
A team of scientists from Skoltech's Laboratory of Nanomaterials proposed a neural-network-based method for monitoring the growth of carbon nanotubes, preparing the ground for a new generation of sophisticated electronic devices. (2019-08-08)
OU microbiologists provide framework for assessing ecological diversity
A University of Oklahoma team of microbiologists have developed a mathematical framework for quantitatively assessing ecological diversity in an ecological community whether deterministic or stochastic. (2019-08-06)
Storytelling bots learn to punch up their last lines
Nothing disappoints quite like a good story with a lousy finish. (2019-08-01)
Successful first trial for dizziness monitoring device
A ground-breaking device to help patients with dizziness problems has moved a step forward following a successful research study. (2019-07-31)
Technological developments in radiation detectors enhance global nuclear security
Nuclear power plants can withstand most inclement weather and do not emit harmful greenhouse gases. (2019-07-30)
What do dragonflies teach us about missile defense?
Research at Sandia National Laboratories is examining whether dragonfly-inspired computing could improve missile defense systems, which have the similar task of intercepting an object in flight, by making on-board computers smaller without sacrificing speed or accuracy. (2019-07-24)
Improving the signal-to-noise ratio in quantum chromodynamics simulations
A study by Marco Ce, a physicist based at the Helmholtz-Institut Mainz in Germany, and recently published in EPJ Plus describes a new technique for simulating particle ensembles that are 'large' (at least by the standards of particle physics). (2019-07-18)
Improving the odds of synthetic chemistry success
In a new publication in Nature, University of Utah chemists Jolene Reid and Matthew Sigman show how analyzing previously published chemical reaction data can predict how hypothetical reactions may proceed, narrowing the range of conditions chemists need to explore. (2019-07-17)
Machine learning platform guides pancreatic cyst management in patients
Researchers have created a comprehensive test based on machine learning algorithms to better guide the management of patients with pancreatic cysts -- a potential precursor of pancreatic cancer. (2019-07-17)
Tracking down climate change with radar eyes
Over the past 22 years, sea levels in the Arctic have risen an average of 2.2 millimeters per year. (2019-07-16)
Sound mind: Detecting depression through voice
AI algorithms can now more accurately detect depressed mood using the sound of your voice, according to new research by University of Alberta computing scientists. (2019-07-12)
Recognizing kidney injury due to burns is improved by artificial intelligence
Many burn victims suffer acute kidney injury, but early recognition of the condition can be challenging. (2019-07-12)
Researchers show how AI can be used to more quickly and accurately diagnose breast cancer
Breast ultrasound elastography is an emerging imaging technique used by doctors to help diagnose breast cancer by evaluating a lesion's stiffness in a non-invasive way. (2019-07-12)
The best of both worlds: how to solve real problems on modern quantum computers
Researchers at the US Department of Energy's (DOE) Argonne National Laboratory and Los Alamos National Laboratory, along with researchers at Clemson University and Fujitsu Laboratories of America, have developed hybrid algorithms to run on size-limited quantum machines and have demonstrated them for practical applications. (2019-07-11)
Mad cow disease: A computational model reveals the mechanism of replication of prions
An article published in the journal PLOS Pathogens reports a realistic computational model for the structure and mechanism of replication of prions, infectious agents responsible for mad cow disease and other neurodegenerative disorders of human and animals. (2019-07-11)
Novel method identifies patients at risk for HIV who may benefit from PrEP strategies
Researchers have demonstrated the effectiveness of using algorithms that analyze electronic health records to help physicians identify patients at risk for HIV who may benefit from preexposure prophylaxis (PrEP), which significantly reduces the risk of getting HIV. (2019-07-08)
Discovery linking microbes to methane emissions could make agriculture more sustainable
Common dairy cows share the same core group of genetically inherited gut microbes, which influence factors such as how much methane the animals release during digestion and how efficiently they produce milk, according to a new study. (2019-07-03)
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