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Categories: Ecology: Animals, Mathematics: Modeling
Published New approach to 'punishment and reward' method of training artificial intelligence offers potential key to unlock new treatments for aggressive cancers


A new 'outside-the-box' method of teaching artificial intelligence (AI) models to make decisions could provide hope for finding new therapeutic methods for cancer, according to a new study.
Published To know where the birds are going, researchers turn to citizen science and machine learning


Computer scientists recently announced a new, predictive model that is capable of accurately forecasting where a migratory bird will go next -- one of the most difficult tasks in biology. The model is called BirdFlow, and while it is still being perfected, it should be available to scientists within the year and will eventually make its way to the general public.
Published Researchers take a step toward novel quantum simulators


If scaled up successfully, the team's new system could help answer questions about certain kinds of superconductors and other unusual states of matter.
Published Outlook for the blue economy


A handful of hyper-productive fisheries provide sustenance to a billion people and employ tens of millions. These fisheries occur on the eastern edges of the world's oceans -- off the West Coast of the U.S., the Canary Islands, Peru, Chile, and Benguela. There, a process called upwelling brings cold water and nutrients to the surface, which in turn supports large numbers of larger sea creatures that humans depend on for sustenance. A new project is seeking to understand how changes to the climate and oceans will impact fisheries in the U.S. and around the world.
Published A butterfly flaps its wings and scientists make jewelry


In the 'butterfly effect,' an insect can flap its wings and create a microscopic change in initial conditions that leads to a hurricane halfway around the world. This chaos is seen everywhere, from weather to labor markets to brain dynamics. And now researchers explored how to turn the twisting, fractal structures behind the science into jewelry with 3D printing. The jewelry shapes are based on the Chua circuit, a simple electronic system that was the first physical, mathematical, and experimental proof of chaos.
Published First computational reconstruction of a virus in its biological entirety


A researcher has created a computer reconstruction of a virus, including its complete native genome. Although other researchers have created similar reconstructions, this is believed to be the first to replicate the exact chemical and 3D structure of a 'live' virus.
Published Researchers use AI to triage patients with chest pain


Artificial intelligence (AI) may help improve care for patients who show up at the hospital with acute chest pain, according to a new study.
Published AI improves detail, estimate of urban air pollution


Using artificial intelligence, engineers have simplified and reinforced models that accurately calculate the fine particulate matter (PM2.5) -- the soot, dust and exhaust emitted by trucks and cars that get into human lungs -- contained in urban air pollution.
Published Computer models determine drug candidate's ability to bind to proteins


Combing computational physics with experimental data, researchers have developed computer models for determining a drug candidate's ability to target and bind to proteins within cells.
Published Project aims to expand language technologies


Only a fraction of the 7,000 to 8,000 languages spoken around the world benefit from modern language technologies like voice-to-text transcription, automatic captioning, instantaneous translation and voice recognition. Researchers want to expand the number of languages with automatic speech recognition tools available to them from around 200 to potentially 2,000.
Published New approach to epidemic modeling could speed up pandemic simulations


Researchers are employing sparsification, a method from graph theory and computer science, to identify which links in a network are the most important for the spread of disease.
Published Modelling the collective movement of bacteria


A new paper presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.
Published Characters' actions in movie scripts reflect gender stereotypes


Researchers have developed a novel machine-learning framework that uses scene descriptions in movie scripts to automatically recognize different characters' actions. Applying the framework to hundreds of movie scripts showed that these actions tend to reflect widespread gender stereotypes, some of which are found to be consistent across time.
Published Should we tax robots?


A small tax on robots, as well as on trade generally, will help reduce income inequality in the U.S., according to economists.
Published Study shows how machine learning could predict rare disastrous events, like earthquakes or pandemics


Researchers suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
Published Artificial Intelligence searches an early sign of osteoarthritis from an x-ray image


Researchers have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images. AI was able to match a doctors' diagnosis in 87% of cases. The result is important because x-rays are the primary diagnostic method for early knee osteoarthritis. An early diagnosis can save the patient from unnecessary examinations, treatments and even knee joint replacement surgery.
Published AI model proactively predicts if a COVID-19 test might be positive or not


A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.
Published Hummingbird flight could provide insights for biomimicry in aerial vehicles


Using a novel modeling method, a team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
Published A peculiar protected structure links Viking knots with quantum vortices



Mathematical analysis identifies a vortex structure that is impervious to decay.
Published Revealing the complex magnetization reversal mechanism with topological data analysis


The reliability of data storage and writing speed in advanced magnetic devices depend on drastic, complex changes in microscopic magnetic domain structures. However, it is extremely challenging to quantify these changes, limiting our understanding of magnetic phenomena. To tackle this, researchers developed, using machine learning and topology, an analysis method that quantifies the complexity of the magnetic domain structures, revealing hidden features of magnetization reversal that are hardly seen by human eyes.