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Current Computer Model News and Events, Computer Model News Articles.
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Global fisheries could alleviate a global food emergency in extreme situations
A new international study argues that, if managed sustainably in advance, global fisheries could alleviate food shortages even after a nuclear war. (2020-11-09)

Peering under the "hood" of SARS-CoV-2
Microscope and protein data are incorporated into an easy-to-use-and-update tool that can model an organism's 3D appearance. (2020-11-08)

Social distancing may have saved more than 59,000 u.s. Lives if implemented two weeks earlier
Implementing social distancing, business closures, and other non-pharmaceutical interventions (NPIs) in the U.S. two weeks sooner, during the earliest stages of the COVID-19 pandemic, may have (2020-11-06)

Nervous systems of insects inspire efficient future AI systems
Study explores functions of fruit fly's nervous system in food seeking / results valuable for the development and control of artificial intelligence. (2020-11-05)

Model for acid-tolerant yeast helps guide industrial organic acid production
Microbes and other microscopic organisms could serve as sustainable ''factories'' to create many types of industrial materials because they naturally convert nutrients such as sugars into byproducts. However, creating industrial amounts of organic acids from renewable resources poses a challenge, because not many organisms can grow in highly acidic environments. With the help of gene editing and computational modeling tools, a team of researchers explored one type of yeast that could survive in the harsh environment created by acidic products. (2020-11-04)

Students develop tool to predict the carbon footprint of algorithms
Within the scientific community, it is estimated that artificial intelligence -- otherwise meant to serve as a means to effectively combat climate change -- will become one of the most egregious CO2 culprits should current trends continue. To raise awareness about the challenge, two University of Copenhagen students have launched a tool to calculate the carbon footprint of developing deep learning models. (2020-11-03)

Carbon-releasing 'zombie fires' in peatlands could be dampened by new findings
New simulations have provided clues on reducing uncontrolled peat fires, which hide underground and are notoriously bad for human health and the environment. (2020-10-30)

Facing up to the reality of politicians' Instagram posts
A University of Georgia researcher used computer vision to analyze thousands of images from over 100 Instagram accounts of United States politicians and discovered posts that showed politicians' faces in nonpolitical settings increased audience engagement over traditional posts such as politicians in professional or political settings. (2020-10-29)

Biophysicists modelled the effect of antiseptics on bacterial membranes
A team of biophysics from leading Russian research and educational institutions (MSU, RUDN University, and the Federal Research and Clinical Center of the Federal Medical-Biological Agency of Russia) developed a computer model that shows the effect of antiseptics on bacterial membranes. The common concepts regarding the mode of action of antiseptics turned out to be incorrect: instead of destroying bacterial membranes, they cause changes in their structure. These changes make the bacteria weaker and more susceptible to adverse external factors. (2020-10-28)

Uncertainties key to balancing flood risk and cost in elevating houses
What do you have on your 2020 Bingo Card? Wildfire, heat wave, global pandemic, or flooding? If it's flooding, then it's a good bet it will happen in many places in the U.S. sometime during the year. (2020-10-26)

How to figure out what you don't know
Sometimes, what seems like a good way to explain the world--a model--turns out to be wrong. CSHL machine learning researchers developed a way to find the best answers to complicated questions, rather than answers that only appear to be right when tested in a few ways. (2020-10-26)

New model predicts which patients with kidney disease may develop heartbeat irregularities
* A new model that incorporates a type of artificial intelligence can accurately predict which individuals with chronic kidney disease face a high risk of developing atrial fibrillation. * Results from the study will be presented online during ASN Kidney Week 2020 Reimagined October 19-October 25. (2020-10-24)

Knowing the model you can trust - the key to better decision-making
As much of Europe is engulfed by a second wave of Covid-19, and track and trace struggles to meet demand, modelling support tools are being increasingly used by policymakers to make key decisions. Most notably, models have been used to predict the Covid-19 R0 rate - the average rate of secondary infections from a single infection, which has formed the basis for many lockdown decisions across the UK. (2020-10-23)

New tool can diagnose strokes with a smartphone
A new tool created by researchers at Penn State and Houston Methodist Hospital could diagnose a stroke based on abnormalities in a patient's speech ability and facial muscular movements, and with the accuracy of an emergency room physician -- all within minutes from an interaction with a smartphone. (2020-10-22)

Smarter models, smarter choices
Artificial intelligence isn't perfect. In fact, it's only as good as the methods and data built into it. Researchers at the University of Delaware have detailed a new approach to artificial intelligence that builds uncertainty, error, physical laws, expert knowledge and missing data into its calculations and leads ultimately to much more trustworthy models. (2020-10-19)

How bacteria adapt their machinery for optimum growth
The tiny 'machines' that keep the processes in bacterial cells going are made up of a large number of different proteins and RNA molecules. Depending on their growth rate, bacteria have to produce these in different concentrations. Bioinformatics researchers from Heinrich Heine University Düsseldorf (HHU) have developed a model that explains for the first time the precise composition of this molecular 'cocktail' for a central cellular system. Their findings, which are also relevant for biotechnology, are presented in the scientific journal Nature Communications. (2020-10-16)

Lie detection -- Have the experts got it wrong?
Researchers led by the University of Portsmouth carried out a critical analysis of the Model Statement lie detection technique and the results have been published today in the Journal of Investigative Psychology and Offender Profiling. There are concerns that the use of the technique is dangerous in the pursuit of criminal justice and researchers are calling for an urgent review of its practice. (2020-10-15)

Machine learning uncovers potential new TB drugs
Using a machine-learning approach that incorporates uncertainty, MIT researchers identified several promising compounds that target a protein required for the survival of the bacteria that cause tuberculosis. (2020-10-15)

Modelling extreme magnetic fields and temperature variation on distant stars
New research is helping to explain one of the big questions that has perplexed astrophysicists for the past 30 years - what causes the changing brightness of distant stars called magnetars. Magnetars were formed from stellar explosions or supernovae and they have extremely strong magnetic fields, estimated to be around 100 million, million times greater than the magnetic field found on earth. (2020-10-13)

Wearable IT devices: Dyeing process gives textiles electronic properties
Whether in fitness, medicine or in the entertainment industry, IT devices worn on the body, such as smart watches, are becoming increasingly popular. Such wearables benefit from the input device fitting as naturally as possible to the body - for example as electro-sensitive fabrics, so-called e-textiles. (2020-10-13)

RUDN University mathematician refined the model of predator-prey relations in the wild
The traditional mathematical model of predator-prey relations in the wild does not take into account indirect nonlocal interactions. However, according to a mathematician from RUDN University, they affect the dynamics of predators and prey in a system, and the nature of this effect is sensitive to the initial conditions. (2020-10-13)

Computational approach to optimise culture conditions required for cell therapy
Collaboration by researchers in Singapore and Australia lead to first-of-its-kind computational biology algorithm that could enable more effective cellular therapies against major diseases. (2020-10-12)

Earphone tracks facial expressions, even with a face mask
Cornell University researchers have invented an earphone that can continuously track full facial expressions by observing the contour of the cheeks - and can then translate expressions into emojis or silent speech commands. (2020-10-12)

RUDN University scientist suggested a simple model of dense plasma spectral properties
A scientist from RUDN University suggested a new physical model to describe the optical properties of dense plasma. The model was tested on available experimental data and does not require complex calculations. (2020-10-08)

Sea-level rise projections can improve with state-of-the-art model
Projections of potentially dramatic sea-level rise from ice-sheet melting in Antarctica have been wide-ranging, but a Rutgers-led team has created a model that enables improved projections and could help better address climate change threats. (2020-10-07)

High-speed photos shine a light on how metals fail
How things deform and break is important for engineers, as it helps them choose and design what materials they're going to use for building things. Researchers at Aalto University and Tampere University have stretched metal alloy samples to their breaking point and filmed it using ultra-fast cameras to study what happens. Their discoveries have the potential to open up a whole new line of research in the study of materials deformation. (2020-10-07)

Predicting sports performance with "big data"
Smartphones and wearable devices are not simple accessories for athletes. A CNRS researcher has developed a simple mathematical model for studying the performance of endurance athletes. A recent collaboration with a scientist from the Polar Electro Oy company (Finland) made it possible to apply the model to data gathered from approximately 14,000 runners training in real conditions. (2020-10-06)

Are brain-computer interface spellers secure?
Brain-Computer Interfaces (BCIs), which aim to construct a pathway for people to interact with computers directly by thought, have received great attention in recent years. An electroencephalogram-based BCI speller, which allows the user to input text to computer using brain signals, is one of the most popular BCI systems. However, researchers in China show that these BCI spellers can be easily attacked, exposing a critical security concern in EEG-based BCI systems. (2020-10-03)

Tool helps clear biases from computer vision
Researchers at Princeton University have developed a tool that flags potential biases in sets of images used to train artificial intelligence (AI) systems. The work is part of a larger effort to remedy and prevent the biases that have crept into AI systems that influence everything from credit services to courtroom sentencing programs. (2020-10-01)

Driving behavior less 'robotic' thanks to new Delft model
Researchers from TU Delft have now developed a new model that describes driving behaviour on the basis of one underlying 'human' principle: managing the risk below a threshold level. This model can accurately predict human behaviour during a wide range of driving tasks. In time, the model could be used in intelligent cars, to make them feel less 'robotic'. The research will be published in Nature Communications on Tuesday 29 September 2020. (2020-09-29)

Computer model explains altered decision making in schizophrenia
Scientists have built a computer 'brain circuit', or artificial neural network, that mirrors human decision-making processes and sheds light on how circuits might be altered in psychiatric diseases. (2020-09-29)

AI learns to trace neuronal pathways
Cold Spring Harbor Laboratory scientists dramatically improved the efficiency of automated methods for tracing neuronal connections. They taught a computer to recognize different parts of neurons, then used the math of topology to see how those neurons are likely to connect. (2020-09-28)

Painting a clearer picture of COVID-19
When Saathvik Kannan's father, a faculty member at the University of Missouri, saw his friend, Kamlendra Singh, a research professor at MU, on television being interviewed for his research identifying possible treatments for COVID-19, he called Singh to congratulate him on his work. (2020-09-28)

Wind forecasts power up for reliable energy production
Prediction of wind speed and direction for up to several hours in advance improves Saudi Arabia's wind energy potential. (2020-09-27)

Astronomers model, determine how disk galaxies evolve so smoothly
By developing better computer simulations, researchers have determined that the scattering of stars from their orbits by the gravity of massive clumps within galaxies leads to a common look in galaxy disks -- bright centers fading away to dark edges. (2020-09-25)

Simpler models may be better for determining some climate risk
Typically, computer models of climate become more and more complex as researchers strive to capture more details of our Earth's system, but according to a team of Penn State researchers, to assess risks, less complex models, with their ability to better sample uncertainties, may be a better choice. (2020-09-24)

Engineers pre-train AI computers to make them even more powerful
Engineers at CSEM have developed a new machine-learning method that paves the way for artificial intelligence to be used in applications that until now have been deemed too sensitive. The method, which has been tested by running simulations on a climate-control system for a 100-room building, is poised to deliver energy savings of around 20%. (2020-09-22)

Stanford researchers combine CAT scans and advanced computing to fight wildfires
Engineers at Stanford have used X-ray CT scans, more common in hospital labs, to study how wood catches fire. They've now turned that knowledge into a computer simulation to predict where fires will strike and spread. (2020-09-22)

Mount Sinai researchers develop COVID-19 mortality prediction model
Using the largest development dataset yet (n=3841), and a systematic machine learning framework, Mount Sinai researchers developed a COVID-19 mortality prediction model that showed high accuracy (AUC=0·91) when applied to test datasets of retrospective (n=961) and prospective (n=249) patients. This model was based on three clinical features: patient's age, minimum oxygen saturation over the course of their medical encounter, and type of patient encounter (inpatient vs outpatient and telehealth visits). (2020-09-22)

A computer predicts your thoughts, creating images based on them
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals. In a way, it is as if the computer tries to imagine what a human is thinking about. As a result of this imagining, the computer is able to produce entirely new information, such as fictional images that were never before seen. The technique is based on a novel brain-computer interface. (2020-09-21)

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