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Categories: Mathematics: Modeling, Mathematics: Puzzles
Published The economic life of cells
(via sciencedaily.com) A team has combined economic theory with biology to understand how natural systems respond to change. The researchers noticed a similarity between consumers' shopping behavior and the behavior of metabolic systems, which convert food into energy in our bodies. The team focused on predicting how different metabolic systems might respond to environmental change by using an economic tool called the Slutsky equation. Their calculations indicated that very different metabolic systems actually share previously unknown universal properties, and can be understood using tools from other academic fields. Metabolic processes are used in drug development, bioengineering, food production and other industries, so being able to predict how such systems will respond to change can offer many benefits.
Published Supercomputer used to simulate winds that cause clear air turbulence
(via sciencedaily.com) Using Japan's most powerful supercomputer, researchers reproduced cases of clear air turbulence around Tokyo. They simulated the fine vortices responsible for this dangerous phenomenon. The usefulness of the simulation in predicting turbulence was confirmed by comparing simulation data with data from aircraft recordings. This research should improve the forecasting of turbulence.
Published Researcher turns one of the basic rules of construction upside down
(via sciencedaily.com) Original source Structural engineers are familiar with seventeenth-century scientist Robert Hooke's theory that a hanging chain will mirror the shape of an upstanding rigid arch. However, new research now shows that this common-held belief is incorrect because, regardless of the similarities, the hanging chain and the arch are two incompatible mechanical systems.
Published Board games are boosting math ability in young children
(via sciencedaily.com) Board games based on numbers, like Monopoly, Othello and Chutes and Ladders, make young children better at math, according to a comprehensive review of research published on the topic over the last 23 years.
Published Machine learning takes materials modeling into new era
(via sciencedaily.com) The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a simulation technique that offers both high fidelity and scalability across different time and length scales has long been a roadblock for the progress of these technologies. Researchers have now pioneered a machine learning-based simulation method that supersedes traditional electronic structure simulation techniques. Their Materials Learning Algorithms (MALA) software stack enables access to previously unattainable length scales.
Published Deciphering the thermodynamic arrow of time in large-scale complex networks
(via sciencedaily.com) A solution for temporal asymmetry -- or entropy production -- in thermodynamics has been developed to further our understanding of the behavior of biological systems, machine learning, and AI tools. The researchers worked on the time-irreversible Ising model dynamics caused by asymmetric connections between neurons.
Published Researchers teach an AI to write better chart captions
(via sciencedaily.com) Original source A new tool helps scientists develop machine-learning models that generate richer, more detailed captions for charts, and vary the level of complexity of a caption based on the needs of users. This could help improve accessibility for people with visual disabilities.
Published Evaluating cybersecurity methods
(via sciencedaily.com) Original source Researchers created a generic framework that enables an engineer or scientist to evaluate the effectiveness of defense schemes that seek to limit a hacker's ability to learn secret information by observing the behavior of a victim computer program.
Published Turning old maps into 3D digital models of lost neighborhoods
(via sciencedaily.com) Original source Imagine strapping on a virtual reality headset and 'walking' through a long-gone neighborhood in your city -- seeing the streets and buildings as they appeared decades ago. That's a very real possibility now that researchers have developed a method to create 3D digital models of historic neighborhoods using machine learning and historic Sanborn Fire Insurance maps.
Published How the brain processes numbers -- New procedure improves measurement of human brain activity
(via sciencedaily.com) Original source Measuring human brain activity down to the cellular level: until now, this has been possible only to a limited extent. With a new approach it will now be much easier. The method relies on microelectrodes along with the support of brain tumor patients, who participate in studies while undergoing 'awake' brain surgery. This enabled the team to identify how our brain processes numbers.
Published Mathematicians solve long-known problem
(via sciencedaily.com) Original source Making history with 42 digits: Scientists have unlocked a decades-old mystery of mathematics with the so-called ninth Dedekind number. Experts worldwide have been searching for the value since 1991. Scientists arrived at the exact sequence of numbers with the help of the Noctua supercomputer.
Published Generative AI models are encoding biases and negative stereotypes in their users
(via sciencedaily.com) Original source In the space of a few months generative AI models, such as ChatGPT, Google's Bard and Midjourney, have been adopted by more and more people in a variety of professional and personal ways. But growing research is underlining that they are encoding biases and negative stereotypes in their users, as well as mass generating and spreading seemingly accurate but nonsensical information. Worryingly, marginalized groups are disproportionately affected by the fabrication of this nonsensical information.
Published Bridging traditional economics and econophysics
(via sciencedaily.com) Original source How do asset markets work? Which stocks behave similarly? Economists, physicists, and mathematicians work intensively to draw a picture but need to learn what is happening outside their discipline. A new paper now builds a bridge.
Published High-quality child care contributes to later success in science, math
(via sciencedaily.com) Original source Children who receive high-quality child care as babies, toddlers and preschoolers do better in science, technology, engineering and math through high school, and that link is stronger among children from low-income backgrounds, according to new research.
Published A step toward safe and reliable autopilots for flying
(via sciencedaily.com) Original source Researchers developed a machine-learning technique that can autonomously drive a car or fly a plane through a very difficult 'stabilize-avoid' scenario, in which the vehicle must stabilize its trajectory to arrive at and stay within some goal region, while avoiding obstacles.
Published AI-generated academic science writing can be identified with over 99% accuracy
(via sciencedaily.com) Original source The debut of artificial intelligence chatbot ChatGPT has set the world abuzz with its ability to churn out human-like text and conversations. Still, many telltale signs can help us distinguish AI chatbots from humans, according to a new study. Based on the signs, the researchers developed a tool to identify AI-generated academic science writing with over 99% accuracy.
Published Applying artificial intelligence for early risk forecasting of Alzheimer's disease
(via sciencedaily.com) Original source An international research team has developed an artificial intelligence (AI)-based model that uses genetic information to predict an individual's risk of developing Alzheimer's disease (AD) well before symptoms occur. This groundbreaking study paves the way for using deep learning methods to predict the risks of diseases and uncover their molecular mechanisms; this could revolutionize the diagnosis of, interventions for, and clinical research on AD and other common diseases such as cardiovascular diseases.
Published New AI boosts teamwork training
(via sciencedaily.com) Original source Researchers have developed a new artificial intelligence (AI) framework that is better than previous technologies at analyzing and categorizing dialogue between individuals, with the goal of improving team training technologies. The framework will enable training technologies to better understand how well individuals are coordinating with one another and working as part of a team.
Published The digital dark matter clouding AI
(via sciencedaily.com) Original source Scientists using artificial intelligence technology may be inviting unwanted noise into their genome analyses. Now, researchers have created a computational correction that will allow them to see through the fog and find genuine DNA features that could signal breakthroughs in health and medicine.
Published Finally solved! The great mystery of quantized vortex motion
(via sciencedaily.com) Original source Scientists investigated numerically the interaction between a quantized vortex and a normal-fluid. Based on the experimental results, researchers decided the most consistent of several theoretical models. They found that a model that accounts for changes in the normal-fluid and incorporates more theoretically accurate mutual friction is the most compatible with the experimental results.