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Artificial intelligence (AI) learning machines can be trained to solve problems and puzzles on their own instead of using rules that we made for them. But often, researchers do not know what rules the machines make for themselves. A new method quizzes a machine-learning program to figure out what rules it learned on its own and if they are the right ones.

Artificial intelligence (AI) learning machines can be trained to solve problems and puzzles on their own instead of using rules that we made for them. But often, researchers do not know what rules the machines make for themselves. A new method quizzes a machine-learning program to figure out what rules it learned on its own and if they are the right ones.

Climate change, a pandemic or the coordinated activity of neurons in the brain: In all of these examples, a transition takes place at a certain point from the base state to a new state. Researchers have discovered a universal mathematical structure at these so-called tipping points. It creates the basis for a better understanding of the behavior of networked systems.

Climate change, a pandemic or the coordinated activity of neurons in the brain: In all of these examples, a transition takes place at a certain point from the base state to a new state. Researchers have discovered a universal mathematical structure at these so-called tipping points. It creates the basis for a better understanding of the behavior of networked systems.

The latest generation of personal alcohol breath testing devices pair with smartphones. While some of these devices were found to be relatively accurate, others may mislead users into thinking that they are fit to drive, according to a new study.

Properly understanding and responding to customer feedback on social media platforms is crucial for brands, and it may have just gotten a little easier thanks to new research.

Like conductors of a spooky symphony, researchers have ‘entangled’ two small mechanical drums and precisely measured their linked quantum properties. Entangled pairs like this might someday perform computations and transmit data in large-scale quantum networks.

Researchers describe the improved mathematical methodology of an open source tool called Gerrychain, which can help observers detect gerrymandering in a voting district plan by creating an ensemble of alternate maps that also meet legal voting criteria.

Researchers describe the improved mathematical methodology of an open source tool called Gerrychain, which can help observers detect gerrymandering in a voting district plan by creating an ensemble of alternate maps that also meet legal voting criteria.

Coded messages in invisible ink sound like something only found in espionage books, but in real life, they can have important security purposes. Yet, they can be cracked if their encryption is predictable. Now, researchers have printed complexly encoded data with normal ink and a carbon nanoparticle-based invisible ink, requiring both UV light and a computer that has been taught the code to reveal the correct messages.

Scientists have developed algorithms that more efficiently measure how difficult it would be for an attacker to guess secret keys for cryptographic systems. The approach could reduce the computational complexity needed to validate encryption security.

The human world is, increasingly, an urban one — and that means elevators. Two physicists saw this as an opportunity to explore the factors that determine elevator transport capabilities in a new article.

Data scientists who developed highly accurate computer modeling to predict trends for COVID-19 cases nationwide have new research that shows how important a high rate of vaccination is to reducing case numbers and controlling the pandemic.

Though legislative reform is necessary to combat the growing burden of student loan debt in the U.S. on a grand scale, individual borrowers can take steps to repay their loans with as low long-term costs as possible. A new mathematical model develops a strategy for minimizing the overall cost of repaying student loans.

Though legislative reform is necessary to combat the growing burden of student loan debt in the U.S. on a grand scale, individual borrowers can take steps to repay their loans with as low long-term costs as possible. A new mathematical model develops a strategy for minimizing the overall cost of repaying student loans.

Every day, the sun ejects large amounts of a hot particle soup known as plasma toward Earth where it can disrupt telecommunications satellites and damage electrical grids. Now, scientists have made a discovery that could lead to better predictions of this space weather and help safeguard sensitive infrastructure.

Every day, the sun ejects large amounts of a hot particle soup known as plasma toward Earth where it can disrupt telecommunications satellites and damage electrical grids. Now, scientists have made a discovery that could lead to better predictions of this space weather and help safeguard sensitive infrastructure.

New research has shown that silicon could be one of the most powerful materials for photonic informational manipulation – opening up new possibilities for the production of lasers and displays.

Inspired by a theoretical model of particles moving around on a chessboard, new robot swarm research shows that, as magnetic interactions increase, dispersed ‘dumb robots’ can abruptly gather in large, compact clusters to accomplish complex tasks. Researchers report that these ‘BOBbots’ (behaving, organizing, buzzing bots) are also capable of collectively clearing debris that is too heavy for one alone to move, thanks to a robust algorithm.

Inspired by a theoretical model of particles moving around on a chessboard, new robot swarm research shows that, as magnetic interactions increase, dispersed ‘dumb robots’ can abruptly gather in large, compact clusters to accomplish complex tasks. Researchers report that these ‘BOBbots’ (behaving, organizing, buzzing bots) are also capable of collectively clearing debris that is too heavy for one alone to move, thanks to a robust algorithm.

Inspired by a theoretical model of particles moving around on a chessboard, new robot swarm research shows that, as magnetic interactions increase, dispersed ‘dumb robots’ can abruptly gather in large, compact clusters to accomplish complex tasks. Researchers report that these ‘BOBbots’ (behaving, organizing, buzzing bots) are also capable of collectively clearing debris that is too heavy for one alone to move, thanks to a robust algorithm.

A new machine-learning model that generates realistic seismic waveforms will reduce manual labor and improve earthquake detection, according to a new study.

A new artificial intelligence (AI) method is helping researchers link immune cells to their targets and, for example, uncouple which white blood cells recognize SARS-CoV-2. The tool has broad applications in understanding the function of the immune system in infections, autoimmune disorders, and cancer.

A new mathematical model for the interaction of bacteria in the gut could help design new probiotics and specially tailored diets to prevent diseases.

A new mathematical model for the interaction of bacteria in the gut could help design new probiotics and specially tailored diets to prevent diseases.

Scientists have made a breakthrough in the quest to better understand how neural systems are able to process and store information.

The meristem of the gerbera is patterned on the molecular level already at a stage where no primordia or other changes are discernible by even an electron microscope.

The meristem of the gerbera is patterned on the molecular level already at a stage where no primordia or other changes are discernible by even an electron microscope.

Artificial intelligence could be one of the keys for limiting the spread of infection in future pandemics. In a new study, researchers have investigated how machine learning can be used to find effective testing methods during epidemic outbreaks, thereby helping to better control the outbreaks.

The “three-body problem,” the term coined for predicting the motion of three gravitating bodies in space, is essential for understanding a variety of astrophysical processes as well as a large class of mechanical problems, and has occupied some of the world’s best physicists, astronomers and mathematicians for over three centuries. Their attempts have led to the discovery of several important fields of science; yet its solution remained a mystery.

The “three-body problem,” the term coined for predicting the motion of three gravitating bodies in space, is essential for understanding a variety of astrophysical processes as well as a large class of mechanical problems, and has occupied some of the world’s best physicists, astronomers and mathematicians for over three centuries. Their attempts have led to the discovery of several important fields of science; yet its solution remained a mystery.

Studies show wearing masks and social distancing can contain the spread of the COVID-19 virus, but their combined effectiveness is not precisely known. In a new study, researchers developed a network model to study the effects of these two measures on the spread of airborne diseases like COVID-19. The model shows viral outbreaks can be prevented if at least 60 percent of a population complies with both measures.

New study with 756 1st through 5th graders demonstrates that a six-week mashup of hoops and math has a positive effect on their desire to learn more, provides them with an experience of increased self-determination and grows math confidence among youth.

New study with 756 1st through 5th graders demonstrates that a six-week mashup of hoops and math has a positive effect on their desire to learn more, provides them with an experience of increased self-determination and grows math confidence among youth.

New study with 756 1st through 5th graders demonstrates that a six-week mashup of hoops and math has a positive effect on their desire to learn more, provides them with an experience of increased self-determination and grows math confidence among youth.

School-based interventions that target students with, or at risk of, academic difficulties in kindergarten to grade 6 have positive effects on reading and mathematics, according to a new article.

School-based interventions that target students with, or at risk of, academic difficulties in kindergarten to grade 6 have positive effects on reading and mathematics, according to a new article.

School-based interventions that target students with, or at risk of, academic difficulties in kindergarten to grade 6 have positive effects on reading and mathematics, according to a new article.

With over 70% of respondents to a AAA annual survey on autonomous driving reporting they would fear being in a fully self-driving car, makers like Tesla may be back to the drawing board before rolling out fully autonomous self-driving systems. But new research shows us we may be better off putting fruit flies behind the wheel instead of robots.

A new, detailed model of the surface of the SARS-CoV-2 spike protein reveals previously unknown vulnerabilities that could inform development of vaccines.

Researchers have developed a new mechanical model that simulates how whiskers bend within a follicle in response to an external force, paving the way toward better understanding of how whiskers contribute to mammals’ sense of touch.

Whether parents prefer a conformance-oriented or independence-oriented supplemental education program for their children depends on political ideology, according to a study of more than 8,500 American parents.

Research uses artificial intelligence to map connections between the world’s top mathematicians.

Research uses artificial intelligence to map connections between the world’s top mathematicians.

Research uses artificial intelligence to map connections between the world’s top mathematicians.

A reproducibility crisis is ongoing in scientific research, where many studies may be difficult or impossible to replicate and thereby validate, especially when the study involves a very large sample size. Now researchers have developed a statistical tool that can accurately estimate the replicability of a study, thus eliminating the need to duplicate the work and effectively mitigating the reproducibility crisis.

Researchers use mathematical modeling to help explain why CAR T cells work in some patients and not in others.

Researchers use mathematical modeling to help explain why CAR T cells work in some patients and not in others.

New research involving neuroimaging and A.I., describes the complex network within the brain that comprehends the meaning of a spoken sentence.

A new paper sheds light on the higher-order architecture of financial systems and allow analysts to identify systemic risks like market bubbles or crashes.

A new paper sheds light on the higher-order architecture of financial systems and allow analysts to identify systemic risks like market bubbles or crashes.

Researchers have developed a new statistical model that predicts which cities are more likely to become infectious disease hotspots, based both on interconnectivity between cities and the idea that some cities are more suitable environments for infection than others.

Researchers have developed a new statistical model that predicts which cities are more likely to become infectious disease hotspots, based both on interconnectivity between cities and the idea that some cities are more suitable environments for infection than others.

Neuroscientists, using existing tools such as graphical models, can better identify cells in the brain. The algorithm has major implications for developmental diseases like Alzheimer’s since once scientists can understand the mechanism of a disease, they can find interventions. The algorithm greatly accelerates the speed of analyzing whole-brain data and supports crowdsourcing where the larger neuroscience community can test the algorithm and build atlases.

Neuroscientists, using existing tools such as graphical models, can better identify cells in the brain. The algorithm has major implications for developmental diseases like Alzheimer’s since once scientists can understand the mechanism of a disease, they can find interventions. The algorithm greatly accelerates the speed of analyzing whole-brain data and supports crowdsourcing where the larger neuroscience community can test the algorithm and build atlases.

The first known study to explore optimal outpatient exam scheduling given the flexibility of inpatient exams has resulted in shorter wait times for magnetic resonance imaging (MRI).

Mathematical analysis of COVID mortality rates in the United States and Europe shows that second-wave mortality was often greatly reduced — particularly in wealthier European countries and the northeast of the U.S.

Mathematical analysis of COVID mortality rates in the United States and Europe shows that second-wave mortality was often greatly reduced — particularly in wealthier European countries and the northeast of the U.S.

Increased internet-access spending by Texas public schools improved academic performance but also led to more disciplinary problems among students, a study of 9,000 schools shows.

Researchers have developed DeepBAR, a machine learning technique that quickly calculates drug molecules’ binding affinity with target proteins. The advance could accelerate drug discovery and protein engineering.

Warning signs for Alzheimer’s disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease’s destruction of the brain.

A new study demonstrates that machine-learning strategies can be applied to routinely collected physiological data, such as heart rate and blood pressure, to provide clues about pain levels in people with sickle cell disease.

A new study demonstrates that machine-learning strategies can be applied to routinely collected physiological data, such as heart rate and blood pressure, to provide clues about pain levels in people with sickle cell disease.

After cracking the ‘sum of cubes’ puzzle for 42, mathematicians discover a new solution for 3.

After cracking the ‘sum of cubes’ puzzle for 42, mathematicians discover a new solution for 3.

These findings clearly demonstrate how the cooperative areas of the brain responsible for reading skill are also at work during apparently unrelated activities, such as multiplication, suggest that reading, writing and arithmetic, the foundational skills informally identified as the three Rs, might actually overlap in ways not previously imagined, let alone experimentally validated.

These findings clearly demonstrate how the cooperative areas of the brain responsible for reading skill are also at work during apparently unrelated activities, such as multiplication, suggest that reading, writing and arithmetic, the foundational skills informally identified as the three Rs, might actually overlap in ways not previously imagined, let alone experimentally validated.

One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network – whether this be a road network or the internet. For 40 years, an algorithm has been sought to provide an optimal solution to this problem. Now, computer scientist have come up with a recipe.

Computer engineers at the world’s largest companies and universities are using machines to scan through tomes of written material. The goal? Teach these machines the gift of language. Do that, some even claim, and computers will be able to mimic the human brain. But this impressive compute capability comes with real costs, including perpetuating racism and causing significant environmental damage, according to a new paper, ”On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? ?”

A researcher has devised a way to speed up a fundamental task in computer vision and graphics known as non-rigid point set registration. Unlike previous registration techniques, the proposed method is computationally efficient even for large data sets. Moreover, the computing times for this method are shorter than those for a state-of-the-art approach. The results of this study could have implications for various fields, such as autonomous driving, medical imaging, and robotic manipulation.

Researchers have proposed a new quantitative strategy for pooling COVID-19 tests in order to monitor spread and detect outbreaks early within closed communities, such as nursing homes or universities.

A novel computer algorithm that could create a broadly reactive influenza vaccine for swine flu also offers a path toward a pan-influenza vaccine and possibly a pan-coronavirus vaccine as well, according to a new paper.

Engineers demonstrate how a testing strategy they call ‘distanced online testing’ can effectively reduce students’ ability to receive help from one another in order to score higher on a test taken at individual homes during social distancing.

A research team has developed mathematical model to predict seizures that will give epilepsy patients an accurate warning five minutes to one hour before they are likely to experience a seizure.

A research team has developed mathematical model to predict seizures that will give epilepsy patients an accurate warning five minutes to one hour before they are likely to experience a seizure.

Multiscale coarse-grained model of complete SARS-CoV-2 virion developed for first time using supercomputers. Cooperative motion of coronavirus spike protein simulations likely informative of how virus explores and detects ACE2 receptors of potential host cell. Frontera supercomputer at TACC generated all-atom simulations of coronavirus spike protein system that fed into coarse-grained model. Whole coronavirus model provides iterative platform useful for design of safer, better medicines to treat and prevent COVID-19.

Scientists have developed a system that can generate random numbers over a hundred times faster than current technologies, paving the way towards faster, cheaper, and more secure data encryption in today’s digitally connected world.

An automated computer analysis method designed by Carnegie Mellon University computer scientists makes it possible to track social biases across decades of Bollywood and Hollywood movies.

A digital twin of our planet is being designed to simulate Earth’s climate system reaching into the future. It is a tool to support policy-?makers in taking appropriate measures to better prepare for extreme events.

A team of researchers concludes that a game-theory approach may offer new insights into both the spread and disruption of viruses, such as SARS-CoV-2. Its work applies a ‘signaling game’ to an analysis of cellular processes in illuminating molecular behavior.

A revolutionary machine-learning (ML) approach to simulate the motions of atoms in materials such as aluminum is described.

A team of quantum theorists seeking to cure a basic problem with quantum annealing computers — they have to run at a relatively slow pace to operate properly — found something intriguing instead.

Researchers have developed advanced explainable artificial intelligence (AI) in a technical tour de force to decipher regulatory instructions encoded in DNA.

A technique for controlling the orientation of manufactured DNA shapes now removes one of the last barriers for the combination of molecular devices with conventional semiconductor chips.

Researchers report results from their study using mathematical modeling to show that cell turnover impacts drug resistance and is an important factor that governs the success of adaptive therapy.

Researchers report results from their study using mathematical modeling to show that cell turnover impacts drug resistance and is an important factor that governs the success of adaptive therapy.

Simulation of non-Hermitian quantum mechanics using a quantum computer goes beyond centuries old conventions.

Researchers used a quantum computer to successfully simulate an aspect of particle collisions that is typically neglected in high-energy physics experiments, such as those that occur at CERN’s Large Hadron Collider.

A new computational analysis suggests that people under the age of 20 are about half as susceptible to COVID-19 infection as adults, and they are less likely to infect others.

A new computational analysis suggests that people under the age of 20 are about half as susceptible to COVID-19 infection as adults, and they are less likely to infect others.

An innovative partnership takes aim at medicine down to the individual level by applying state-of-the-art computation to medical care.

An innovative partnership takes aim at medicine down to the individual level by applying state-of-the-art computation to medical care.

A hardware and software system called SpAtten streamlines state-of-the-art natural language processing. The advance could reduce the computing power, energy, and time required for text analysis and generation.

Many natural and human-made networks, such as computer, biological or social networks have a connectivity structure that critically shapes their behavior. The academic field of network science is concerned with analyzing such real-world complex networks and understanding how their structure influences their function or behavior. Examples are the vascular network of our bodies, the network of neurons in our brain, or the network of how an epidemic is spreading through a society.

Researchers have used well-established cosmological observations to place tighter constraints on the quadratic model of the Generalized Uncertainty Principle, while discrediting the linear model.

Researchers have used well-established cosmological observations to place tighter constraints on the quadratic model of the Generalized Uncertainty Principle, while discrediting the linear model.

Researchers have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year. The algorithm — an example of what is known as machine learning, or artificial intelligence (AI) — outperformed other clinically used predictors, including pooled cohort equations and the Seattle Heart Failure score.

A new machine-learning framework uses reported test results and death rates to calculate estimates of the actual number of current COVID-19 infections within all 50 U.S. states and 50 countries.

Using AI and computer automation, researchers have developed a ‘conjecture generator’ that creates mathematical conjectures, which are considered to be the starting point for developing mathematical theorems.

Using AI and computer automation, researchers have developed a ‘conjecture generator’ that creates mathematical conjectures, which are considered to be the starting point for developing mathematical theorems.

Using AI and computer automation, researchers have developed a ‘conjecture generator’ that creates mathematical conjectures, which are considered to be the starting point for developing mathematical theorems.

Students who attend the Georgia Prekindergarten Program are more likely to achieve in mathematics than those who do not attend pre-K, according to a new study.

Academics have established a method of turbocharging desktop PCs to give them the same capability as supercomputers worth tens of millions of pounds.

Social media is increasingly used to spread fake news. The same problem can be found on the capital market – criminals spread fake news about companies in order to manipulate share prices. Researchers have developed an approach that can recognize such fake news, even when the news contents are repeatedly adapted.

A calculation so complex that it takes twenty years to complete on a powerful desktop computer can now be done in one hour on a regular laptop. Physicists have now designed a new method to calculate the properties of atomic nuclei incredibly quickly.

Unlike their simple counterparts in artificial intelligence (AI) applications, neurons in the brain use dendrites – their intricate tree-like branches – to find relevant chunks of information. Now, neuroscientists have discovered a new computational method to make complex dendrite models much simpler. These faithful reductions may lead AI applications to process information much like the brain does.

Unlike their simple counterparts in artificial intelligence (AI) applications, neurons in the brain use dendrites – their intricate tree-like branches – to find relevant chunks of information. Now, neuroscientists have discovered a new computational method to make complex dendrite models much simpler. These faithful reductions may lead AI applications to process information much like the brain does.

A physics professor has joined forces with language experts to build a ‘linguistic thermometer’ that can record the temperature of ‘hot’ or ‘cold’ (ie fast or slow) developments in modern linguistic features to create a computer-based model that can provide a better understanding of the development in human language and innovation stretching back to pre-history.

A physics professor has joined forces with language experts to build a ‘linguistic thermometer’ that can record the temperature of ‘hot’ or ‘cold’ (ie fast or slow) developments in modern linguistic features to create a computer-based model that can provide a better understanding of the development in human language and innovation stretching back to pre-history.

Scientists rarely have the historical data they need to see exactly how nodes in a network became connected. But a new article offers hope for reconstructing the missing information, using a new method to evaluate the rules that generate network models.

Scientists rarely have the historical data they need to see exactly how nodes in a network became connected. But a new article offers hope for reconstructing the missing information, using a new method to evaluate the rules that generate network models.

Scientists rarely have the historical data they need to see exactly how nodes in a network became connected. But a new article offers hope for reconstructing the missing information, using a new method to evaluate the rules that generate network models.

In a brain with a neurological disorder like epilepsy, synchronization between groups of neurons can grow to a dangerous extent when a collection of brain cells begins to emit excess electricity. Researchers used a mathematical model to explore the interplay between neurons that leads to these transitions in synchronization during the onset of seizures.

In a brain with a neurological disorder like epilepsy, synchronization between groups of neurons can grow to a dangerous extent when a collection of brain cells begins to emit excess electricity. Researchers used a mathematical model to explore the interplay between neurons that leads to these transitions in synchronization during the onset of seizures.

A new global, mathematical modeling study shows that in most cases prioritizing older adults for COVID-19 vaccines saves the most lives. It also found that, in some cases, more lives could be saved and infections prevented if those who’ve already tested positive step to the back of the line.

A new global, mathematical modeling study shows that in most cases prioritizing older adults for COVID-19 vaccines saves the most lives. It also found that, in some cases, more lives could be saved and infections prevented if those who’ve already tested positive step to the back of the line.

In nature, many things have evolved that differ in size, color and, above all, in shape. While the color or size of an object can be easily described, the description of a shape is more complicated. Researchers have now outlined a new and improved way to describe shapes based on a network representation that can also be used to reassemble and compare shapes.

Following a series of studies on termite mound physiology and morphogenesis over the past decade, researchers have now developed a mathematical model to help explain how termites construct their intricate mounds.

Researchers have published one of the first studies using federated learning to examine electronic health records to better predict how COVID-19 patients will progress.

MIT researchers have devised a way to computationally model viral escape, using models that were originally developed to model language. The model can predict which sections of viral surface proteins, including those of influenza, HIV, and SARS-CoV-2, are more likely to mutate in a way that allows the virus to evade the human immune system. It can also identify sections that are less likely to mutate, making them good targets for new vaccines.

Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture.

Researchers describe how they developed a deep-learning framework to observe gene regulation at the cellular level.

Quantum annealers are devices that physically implement a quantum system called the ‘Ising model’ to solve combinatorial optimization problems. However, the coefficients of the Ising model often require a large bit width, making it difficult to implement physically. Now, scientists demonstrate a method to reduce the bit width of any Ising model, increasing the applicability and versatility of quantum annealers in many fields, including cryptography, logistics, and artificial intelligence.

Using mathematical modeling, new interdisciplinary research determines the best course of action when it comes to walking the line between economic stability and the best possible health outcomes.

A mathematical model that can help project the contagiousness and spread of infectious diseases like the seasonal flu may not be the best way to predict the continuing spread of the novel coronavirus, especially during lockdowns that alter the normal mix of the population.

A mathematical model that can help project the contagiousness and spread of infectious diseases like the seasonal flu may not be the best way to predict the continuing spread of the novel coronavirus, especially during lockdowns that alter the normal mix of the population.

Neuroscientists have found reading computer code does not rely on the regions of the brain involved in language processing. Instead, it activates the ‘multiple demand network,’ which is also recruited for complex cognitive tasks such as solving math problems or crossword puzzles.

Neuroscientists have found reading computer code does not rely on the regions of the brain involved in language processing. Instead, it activates the ‘multiple demand network,’ which is also recruited for complex cognitive tasks such as solving math problems or crossword puzzles.

By the time children are 3 years old they already have an adult-like preference for visual fractal patterns commonly seen in nature, according to researchers.

Researchers have developed a computational method that allows them to determine not if an entire imaging picture is accurate, but if any given point on the image is probable, based on the assumptions built into the model.

At some point in life, most people have stood over a rolled-out slab of cookie dough and pondered just how to best cut out cookies with as little waste as possible. Now, even math experts have given up on finding a computer algorithm to answer this type of geometric problem.

The magic of mathematics is particularly reflected in magic squares. Recently, quantum physicists and mathematicians introduced the notion of the quantum magic square, and for the first time studied in detail the properties of this quantum version of magic squares.

Physicists have introduced a new method that allows biological pattern-forming systems to be systematically characterized with the aid of mathematical analysis. The trick lies in the use of geometry to characterize the dynamics.

Scientists have generated a huge true random number using DNA synthesis. It is the first time that a number of this magnitude has been created by biochemical means.

In a new article, a physicist explains how he combined math in the form of Tchebychev’s inequality with a statistical ensemble to understand how macroscopic exponential growth with different daily rates arise from person-to-person disease infection.

Computer scientists have devised a new weapon against video game players who cheat. The researchers developed their approach for detecting cheaters using the popular first-person shooter game Counter-Strike. But the mechanism can work for any massively multiplayer online (MMO) game that sends data traffic to a central server.

Researchers find COVID-19 super-spreading events, in which one person infects more than six other people, are much more frequent than anticipated, and that they have an outsized contribution to coronavirus transmission.

Researchers find COVID-19 super-spreading events, in which one person infects more than six other people, are much more frequent than anticipated, and that they have an outsized contribution to coronavirus transmission.

Election forecasting is an innately challenging endeavor, with results that can be difficult to interpret and may leave many questions unanswered after close races unfold. Researchers have now borrowed ideas from epidemiology to develop a new method for forecasting elections. The team hoped the multidisciplinary nature of their infectious disease model could expand the community that engages with polling data and raise research questions from a new perspective.

Scientists have discovered why dividing a large population into multiple subpopulations that do not intermix can help contain outbreaks without imposing contact restrictions within those local communities.

Mathematics — it’s the subject some kids love to hate. Yet despite its lack of popularity, mathematics is critical for a STEM-capable workforce and vital for current and future productivity. New research finds that boosting student confidence in mathematics is pivotal to greater engagement with the subject.

DNA variation in a gene called ROBO1 is associated with early anatomical differences in a brain region that plays a key role in quantity representation, potentially explaining how genetic variability might shape mathematical performance in children, according to a new study.

Researcher makes ‘little data’ act big through, the application of mathematical techniques normally used for time-series, to spatial processes.

Using a new mathematical approach to screen large groups for COVID-19 could be around 20 times cheaper than individual testing, a study suggests.

Artificial intelligence isn’t perfect. In fact, it’s only as good as the methods and data built into it. Researchers 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.

Researchers have discovered a uniquely quantum effect in erasing information that may have significant implications for the design of quantum computing chips. Their surprising discovery brings back to life the paradoxical ‘Maxwell’s demo’, which has tormented physicists for over 150 years.

Seismic waves, commonly associated with earthquakes, have been used by scientists to develop a universal scaling law for the sense of touch. A team used Rayleigh waves to create the first scaling law for touch sensitivity.

Researchers used language processing AI to turn molecular movements into stories that reveal what forms a protein can take and how and when it changes form — key information for understanding disease and developing targeted therapeutics.

A new mathematical model has been developed to identify the number of days students could attend school to allow them a better learning experience while mitigating infections of COVID-19.

A mathematician has developed a new method for processing large volumes of COVID-19 tests which he believes could lead to significantly more tests being performed at once and results being returned much quicker.

It is better to invest in measures that make it easier for women to visit a doctor during pregnancy than measures to repair birth injuries. This is the conclusion from mathematicians, using Uganda as an example.

Researchers reveal a new method for analyzing hierarchies in complex networks and illustrate it by applications to economics, language and gene expression.

A recent study has shed new light on the Minoan system of fractions, one of the outstanding enigmas tied to the ancient writing of numbers.

Researchers develop first-ever battery-free, energy-harvesting, interactive device. And it looks and feels like a retro 8-bit Nintendo Game Boy.

A researcher developed a mathematical method that shows climate change likely caused the rise and fall of an ancient civilization. A new article outlines the technique he developed and shows how shifting monsoon patterns led to the demise of the Indus Valley Civilization, a Bronze Age civilization contemporary to Mesopotamia and ancient Egypt.

The world is one step closer to having a totally secure internet and an answer to the growing threat of cyber-attacks, thanks to a team of international scientists who have created a unique prototype which could transform how we communicate online.

When you only have fossils to go off of, it’s hard to tell which dinosaur traits, like size and ornamentation, are related to the animals’ sex, and which traits are related to other things like age. But a new kind of statistical analysis can often estimate the degree of sexual variation in a dataset of fossils.

Turing machines are widely believed to be universal, in the sense that any computation done by any system can also be done by a Turing machine. In a new article, researchers present their work exploring the energetic costs of computation within the context of Turing machines.

Fifty potential planets have had their existence confirmed by a new machine learning algorithm.

Chess requires playing ability and strategic thinking; in roulette, chance determines victory or defeat, gain or loss. But what about skat and poker? Are they games of chance or games of skill in game theory? This classification also determines whether play may involve money. Economists have studied this question and developed a rating system similar to the Elo system used for chess.

Researchers demonstrated how a deep learning framework they call ‘Brain-NET’ can accurately predict a person’s level of expertise in terms of their surgical motor skills, based solely on neuroimaging data.

Researchers examined gender stereotypes baked into 25 languages to explore why fewer women enter science, technology, engineering and mathematics fields.

Researchers identified a problem that holds the key to whether all encryption can be broken — as well as a surprising connection to a mathematical concept that aims to define and measure randomness.

New software techniques make lighting in computer-generated images look more realistic for use in video games, extended reality, and scientific visualization tools.

A new study suggests that a number of practices in video games, such as token wagering, real-money gaming, and social casino spending, are significantly linked to problem gambling.

Consider this scenario: A vaccine for the novel coronavirus has been developed that is 91.27% effective. If public health officials present this information using the specific number, people are likely to think the vaccine is actually less effective than if it is presented as being 90% effective. This concept is a real-life application of recent findings from Gaurav Jain, an assistant professor of marketing in the Lally School of Management at Rensselaer Polytechnic Institute, published recently in Organizational Behavior and Human Decision Process.

For smokers who are better at math, the decision to quit just adds up, a new study suggests. Researchers found that smokers who scored higher on a test of math ability were more likely than others to say they intended to quit smoking.

Researchers have found that the reason there are more undergraduate men than women majoring in physics, engineering and computer science is not because men are higher achievers. On the contrary, the scholars found that men with very low high-school GPAs in math and science and very low SAT math scores were choosing these math-intensive majors just as often as women with much higher math and science achievement.

A new study shows how vastly complex communication networks can efficiently convey large amounts of information to the human brain. Researcher found that works of literature, musical pieces, and social networks have a similar underlying structure that allows them to share information rapidly and effectively.

Judges should closely vet the AI tools they use to help them predict whether a defendant is likely to re offend, urges a new study.

What is and is not possible for natural evolution may be explained using models and calculations from theoretical physics, say researchers. To explain this the limits of evolution, researchers simplified the natural world to fit idealized physics models and searched for any mathematical structure within biological complexity.

An academic has achieved a milestone in statistical/mathematical physics by solving a 100-year-old physics problem — the discrete diffusion equation in finite space.

Researchers describe a single function that accurately describes all existing available data on active COVID-19 cases and deaths — and predicts forthcoming peaks.

A new study offers new evidence that the complexity of contemporary analytical methods in science contributes to the variability of research outcomes.

Despite knowing when life first appeared on Earth, scientists still do not understand how life occurred, which has important implications for the likelihood of finding life elsewhere in the universe. A new paper shows how an analysis using a statistical technique called Bayesian inference could shed light on how complex extraterrestrial life might evolve in alien worlds.

A recent six-year study, the longest study ever done on video game addiction, found that about 90% of gamers do not play in a way that is harmful or causes negative long-term consequences. A significant minority, though, can become truly addicted to video games and as a result can suffer mentally, socially and behaviorally.

Identifying sources of light plays an important role in the development of many photonic technologies, such as lidar, remote sensing, and microscopy. Traditionally, identifying light sources as diverse as sunlight, laser radiation, or molecule fluorescence has required millions of measurements, particularly in low-light environments, which limits the realistic implementation of quantum photonic technologies. Researchers demonstrated a smart quantum technology that enables a dramatic reduction in the number of measurements required to identify light sources.

Identifying sources of light plays an important role in the development of many photonic technologies, such as lidar, remote sensing, and microscopy. Traditionally, identifying light sources as diverse as sunlight, laser radiation, or molecule fluorescence has required millions of measurements, particularly in low-light environments, which limits the realistic implementation of quantum photonic technologies. Researchers demonstrated a smart quantum technology that enables a dramatic reduction in the number of measurements required to identify light sources.

Despite the near-universal assumption of individuality in biology, there is little agreement about what individuals are and few rigorous quantitative methods for their identification. A new approach may solve the problem by defining individuals in terms of informational processes.

Psychiatrists have used a computer-based approach to assign psychotic patients diagnosed as bipolar or schizophrenic to five different subgroups. The method could lead to better therapies for psychoses.

With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time. A new study offers a promising approach to efficiently and accurately process precision agricultural data.

A team has developed technology to use mixed-signal circuits to embed critical information that is suppressed at a lower level.

A storyline with emotionally evocative details can reduce virtual reality cybersickness for some people, according to a new study. Researchers found that storylines that provide context and details can help users feel immersed in VR experiences and can reduce feelings of nausea, disorientation and eye strain, depending on a user’s gaming experience.

New software ‘streams’ data and code resources to an app from a cloud server when necessary, allowing the app to use only the space it needs on a phone at any given time.

Geographers are stepping into the virtual world of computer games to develop exciting new ways of assessing landscapes. Researchers have spent years analyzing geographical landscapes and determining what features people from different countries find most appealing. In a bid to engage younger audiences the team created a series of videos depicting dynamic fly-throughs of virtual landscapes.

Theoretical physicists have found a deep link between one of the most striking features of quantum mechanics — quantum entanglement — and thermalization, which is the process in which something comes into thermal equilibrium with its surroundings.

Engineers are introducing the first all-optical “stealth” encryption technology that will be significantly more secure and private for highly sensitive cloud-computing and data center network transmission.

What rules shaped humanity’s original social networks? The earliest social networks were tightly knit cultural groups made of multiple biologically related families. That single group would then develop relationships with other cultural groups in their local area. Researchers used statistical physics and computer models common in evolutionary biology to explain the origin of common community structures documented by cultural anthropologists around the world.

Eighty-six percent of parents agree that teens spend too much time gaming, but many may be mistaken about the extent of their own child’s video game habits, a new national poll suggests.

Mathematicians have developed a new model to explore what the impact of changes to Luftwaffe tactics would actually have been. Their approach uses statistical modelling to calculate how the Battle might have played out if history had followed one of several alternative courses.

Classical physics is characterized by the equations describing the world. Yet our day-to-day experience is struck by this deterministic vision of the world. A physicist has been analyzing the classical mathematical language used in modern physics. He has thrown light on a contradiction between the equations that explained the phenomena and the finite world. He suggests making changes to the mathematical language to allow randomness and indeterminism to become part of classical physics.

The examination of Haplotypes makes it possible to understand the heritability of certain complex traits. However, genome analysis of family members is usually necessary, a tedious and expensive process. Researchers have developed SHAPEIT4, a powerful computer algorithm that allows the haplotypes of hundreds of thousands of unrelated individuals to be identified very quickly. Results are as detailed as when family analysis is performed. Their tool is available online under an open source license.

A new statistical analysis of data from a long-term study on the teaching of mathematics and science has found that smaller class sizes are not always associated with better pupil performance and achievement.

A computer betting game can help predict the likelihood that someone recovering from opioid addiction will reuse the pain-relieving drugs, a new study shows.

Getting to the doctor’s office for a check-up can be challenging for someone with a neurological disorder that impairs their movement, such as a stroke. But what if the patient could just take a video clip of their movements with a smart phone and forward the results to their doctor?

New research comprehensively examined the brain development of young boys and girls. Their research shows no gender difference in brain function or math ability.

Random bit sequences are key ingredients of various tasks in modern life and especially in secure communication. In a new study researchers have determined that generating true random bit sequences, classical or quantum, is an impossible mission. Based on these findings, they have demonstrated a new method of classified secure communication.

A new study is the first to compare professional electronic sport (esport) players with recreational video game players and explores the similarities and differences between what motivates each group. While the two groups are psychosocially different, they found that both esport and recreational gamers run the risk of developing internet gaming disorder when their intense immersion in the activity is tied to escapism.

A team has developed a new CRISPR genome-editing approach by combining two of the most important proteins in molecular biology — CRISPR-Cas9 and a reverse transcriptase — into a single machine.

Highly-targeted messaging campaigns from law enforcement can be surprisingly effective at dissuading young gamers from getting involved in cybercrime, a new study has suggested.

During Earth’s last glacial period, temperatures on the planet periodically spiked dramatically and rapidly. A new article suggests that mathematics from information theory could offer a powerful tool for analyzing and understanding these mysterious events.

A multi-pronged data analysis approach that can strengthen the security of Internet of Things (IoT) devices — such as smart TVs, home video cameras and baby monitors — against current risks and threats has been created.

We spend our days looking at them, talking to them, and touching them. They increasingly consume our time, attention and money. We are addicted to our digital devices — or, more precisely, the digital experiences they give us. A study analyzed the growing problem with digital addiction and how marketers as well as app developers contribute to this 21st-century phenomenon.

In the video game industry, the ability for gaming companies to track and respond to gamers’ post-purchase play opens up new opportunities to enhance gamer engagement and retention and increase video game revenue.

Quantum computing has the potential to revolutionize technology, medicine, and science by providing faster and more efficient processors, sensors, and communication devices. But transferring information and correcting errors within a quantum system remains a challenge. Researchers now demonstrate a new method of relaying information by transferring the state of electrons. The research brings scientists one step closer to creating fully functional quantum computers.

Physicists and educators have developed a curriculum for college-level students that shows promise in helping students in introductory physics classes further practice and develop their calculus skills.

Physicists and computer scientists have developed a new approach to the problem of dark matter and dark energy in the universe. Using machine learning tools, they programmed computers to teach themselves how to extract the relevant information from maps of the universe.

The characterization of complex noise in quantum computers is a critical step toward making the systems more precise.

African Americans are seeing growth in engineering and physical sciences but are not progressing at the same rate when compared to the general population. A report examined the number of bachelor’s degrees earned from 2005 to 2015.

African Americans are seeing growth in engineering and physical sciences but are not progressing at the same rate when compared to the general population. A report examined the number of bachelor’s degrees earned from 2005 to 2015.

Being good at math relates to better financial and medical outcomes — unless you don’t have confidence in your own abilities with numbers, new research suggests. In two studies, researchers found that the key to success in personal finances and dealing with a complex disease was a match between a person’s math abilities and how comfortable and assured he or she felt using those skills.

After years of work, mathematics researchers have answered a mysterious half-century-old riddle. The mystery was all but forgotten until a Danish researcher heard about, and then decided to tackle it.

Hot on the heels of the ground-breaking ‘Sum-Of-Three-Cubes’ solution for the number 33, mathematicians have solved the final piece of the famous 65-year-old math puzzle with an answer for the most elusive number of all – 42.

A new study examining the relationships among personality, motivation, and internet gaming disorder (IGD) found that predictors of IGD include male gender, neurotic and introverted personality traits, and motivation related to achievement.

The study shows reaching a goal expressed in round numbers results in higher levels of customer satisfaction. That was particularly true when the final goal was still distant. Hitting intermediate targets expressed as round numbers increased customers’ feeling of progress at low levels of achievement.

A beautiful landscape painting, a beautiful piano sonata — art and music are almost exclusively described in terms of aesthetics, but what about math? Beyond useful or brilliant, can an abstract idea be considered beautiful?

Up to now, it has taken a great deal of computational effort to detect dependencies between more than two high-dimensional variables, in particular when complicated non-linear relationships are involved. Mathematicians have now developed a dependence measure called ‘distance multivariance’.

A new benchmarking study has determined the best analysis tools for identifying errors in a patient’s DNA that are responsible for driving disease. Being able to pinpoint these ‘genomic rearrangements’ is vital for understanding how illnesses occur, and therefore, how best to treat them.

It’s a common sight on casino floors: patrons jumping from slot machine to slot machine before eventually hunkering down at a game that’s due for the next big payout. But can players — even the regulars who frequent a particular property — really tell the difference between the house edge on one game from that of another? Nope. At least not according to a series of recent studies led by a college professor and former gaming industry operations analyst.

Researchers have shown that a deep learning-powered computational framework enables the high-quality and high-throughput prediction of enzyme commission numbers, which is essential for the accurate understanding of enzyme functions.

Video games that foster creative freedom can increase creativity under certain conditions, according to new research. The experimental study compared the effect of playing Minecraft, with or without instruction, to watching a TV show or playing a race car video game. Those given the freedom to play Minecraft without instruction were most creative.

Researchers are beginning to employ Bayesian methods in developing optimal models of thermodynamic properties. Research focused on hafnium (Hf), a metal emerging as a key component in computer electronics.

Using complex statistical methods and fast measurement techniques, researchers found how the brain network comes up with the right word and enables us to say it.

One of the most challenging issues for game players looks to be resolved soon with the introduction of a zero-latency gaming environment. A team has now developed technology that helps game players maintain zero-latency performance. The new technology transforms the shapes of game design according to the amount of latency.

Are children, teenagers and adults who spend a lot of time playing video games really more obese? A meta study has looked into this question. The cliché is true — but only for adults.

Researchers have found a significant improvement in the peripheral awareness of people who played computer games specially designed around using peripheral vision. This finding opens up the possibility that these types of games can be used to help improve players’ performance in team sports – so they can spot team-mates quicker – or to help them to identify potential hazards at the side of their vision.

What makes Beethoven sound like Beethoven? Researchers have completed a first analysis of Beethoven’s writing style, applying statistical techniques to unlock recurring patterns.

We know bees get the concept of zero and can do basic math. Now researchers have discovered they may also be capable of connecting symbols to numbers. It’s a finding that sheds new light on how numerical abilities may have evolved over millennia and even opens new possibilities for communication between humans and other species.

Researchers have developed a machine learning model of the invisible networks around us including, how viruses interact with proteins and genes in the body. Their work, they believe, can help across the disciplines from the design of future medicines or gene therapies against viruses and diseases like cancer or help understand how to address cyber attacks.

Physics Professor Jesse Berezovsky contends that until now, much of the thinking about math and music has been a top-down approach, applying mathematical ideas to existing musical compositions as a way of understanding already existing music. He contends he’s uncovering the ’emergent structures of musical harmony’ inherent in the art, just as order comes from disorder in the physical world. He believes that could mean a whole new way of looking at music of the past, present and future.

Researchers have found a simple, yet highly versatile, way to generate ‘chaotic signals’ with various features. The technique consists of interconnecting three ‘ring oscillators,’ effectively making them compete against each other, while controlling their respective strengths and their linkages. The resulting device is rather small and efficient, thus suitable for emerging applications such as realizing wireless networks of sensors.

Many ways to approach the Riemann Hypothesis have been proposed during the past 150 years, but none of them have led to conquering the most famous open problem in mathematics. A new article suggests that one of these old approaches is more practical than previously realized.

Researchers have created a statistical method that may allow public health and infectious disease forecasters to better predict disease reemergence, especially for preventable childhood infections such as measles and pertussis.

Researchers have developed a simple and stable device to generate the quantum states necessary for quantum key distribution. The device could make it more practical to develop a global data network that uses this very secure method of encryption to protect everything from credit card transactions to texts.

Through randomly selected measurements, physicists can determine the quantum entanglement of many-particle systems. With the newly developed method, quantum simulations can be extended to a larger number of quantum particles. Researchers now report on the first successful demonstration of this method.

Biostatisticians have developed a new estimation method for assessing natural variations in the sex ratio at birth (SRB) for all countries in the world.

Researchers have implemented a prototype quantum device that can generate and analyze a quantum superposition of possible futures. Using a novel quantum algorithm, the possible outcomes of a decision process are encoded as a superposition of different photon locations. Using interferometry, the team show that it is possible to conduct a search through the set of possible futures without looking at each future individually.

There’s been a rapid resurgence of interest in understanding the energy cost of computing. Recent advances in this ‘thermodynamics of computation’ are now summarized.

Computers which are capable of teaching themselves to predict premature death could greatly improve preventative healthcare in the future, a new study suggests

A sophisticated new analysis too incorporating advanced mathematical strategies could help revolutionize the way researchers investigate the spread and distribution of dangerous, fast-evolving disease vectors.