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Categories: Geoscience: Geomagnetic Storms, Mathematics: General
Published Combining maths with music leads to higher scores, suggests review of 50 years of research



Children do better at maths when music is a key part of their lessons, an analysis of almost 50 years of research on the topic has revealed.
Published Evaluating cybersecurity methods



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 What math can teach us about standing up to bullies



New research from Dartmouth takes a fresh look at game theory to show that being uncooperative can help people on the weaker side of a power dynamic achieve a more equal outcome -- and even inflict some loss on their abusive counterpart. The findings can be applied to help equalize the balance of power in labor negotiations, international relations and everyday interactions, as well as integrate cooperation into interconnected AI systems such as driverless cars.
Published High-quality child care contributes to later success in science, math



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



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 Reading between the cracks: Artificial intelligence can identify patterns in surface cracking to assess damage in reinforced concrete structures



Researchers are trying to make the process more efficient and definitive by using artificial intelligence, combined with a classic mathematical method for quantifying web-like networks, to determine how damaged a concrete structure is, based solely on its pattern of cracking.
Published Extracting the best flavor from coffee



Researchers explore the role of uneven coffee extraction using a simple mathematical model. They split the coffee into two regions to examine whether uneven flow does in fact make weaker espresso. One of the regions in the model system hosted more tightly packed coffee than the other, which caused an initial disparity in flow resistance. The extraction of coffee decreased the flow resistance further. Understanding the origin of uneven extraction and avoiding or preventing it could enable better brews and substantial financial savings by using coffee more efficiently.
Published Unraveling the mathematics behind wiggly worm knots



Researchers wanted to understand precisely how blackworms execute tangling and ultrafast untangling movements for a myriad of biological functions. They researched the topology of the tangles. Their research could inform the design of fiber-like, shapeshifting robotics that self-assemble and move in ways that are fast and reversible.
Published ChatGPT is still no match for humans when it comes to accounting



ChatGPT faced off against students on accounting assessments. Students scored an overall average of 76.7%, compared to ChatGPT's score of 47.4%. On a 11.3% of questions, ChatGPT scored higher than the student average, doing particularly well on AIS and auditing. But the AI bot did worse on tax, financial, and managerial assessments, possibly because ChatGPT struggled with the mathematical processes required for the latter type.
Published Rock, paper, scissors: Searching for stronger nonlocality using quantum computers



In the quantum world particles can instantaneously know about each other's state, even when separated by large distances. This is known as nonlocality. Now, A research group has produced some interesting findings on the Hardy nonlocality that have important ramifications for understanding quantum mechanics and its potential applications in communications.
Published Researcher solves nearly 60-year-old game theory dilemma


A researcher has solved a nearly 60-year-old game theory dilemma called the wall pursuit game, with implications for better reasoning about autonomous systems such as driver-less vehicles.
Published Stick to your lane: Hidden order in chaotic crowds


Mathematical research brings new understanding of crowd formation and behavior.
Published Think you're good at math? Study shows it may be because you had equitable math teachers


A new study finds that high school students identify more with math if they see their math teacher treating everyone in the class equitably, especially in racially diverse schools. While the relationship between teacher equity and math identity was evident across races, there was an interesting exception. Black students, in general, had strong math identities, regardless of their teacher's actions. Learning about the factors that affect student math identity is important because a student's attitude towards the subject influences the courses that they take as well as their future career selections. This study suggests that teachers may have a larger role to play in helping students develop a positive math identity than previously recognized.
Published Artificial Intelligence from a psychologist's point of view


Researchers test cognitive abilities of the language model GPT-3.
Published Reaching like an octopus: A biology-inspired model opens the door to soft robot control


Octopus arms coordinate nearly infinite degrees of freedom to perform complex movements such as reaching, grasping, fetching, crawling, and swimming. How these animals achieve such a wide range of activities remains a source of mystery, amazement, and inspiration. Part of the challenge comes from the intricate organization and biomechanics of the internal muscles.
Published Theory can sort order from chaos in complex quantum systems


Theoretical chemists have developed a theory that can predict the threshold at which quantum dynamics switches from 'orderly' to 'random,' as shown through research using large-scale computations on photosynthesis models.
Published AI analyzes cell movement under the microscope


Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.
Published Scientific AI's 'black box' is no match for 200-year-old method


A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform tasks involving complex physics. Researchers discovered the technique can directly connect what a DNN has learned to the physics of the complex system the DNN is modeling.
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 COVID calculations spur solution to old problem in computer science


A mathematician was keen to forecast the evolution of the COVID epidemic. Instead, he ended up solving a problem which had troubled computer scientists for decades.