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Categories: Computer Science: General, Mathematics: General
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 Combining maths with music leads to higher scores, suggests review of 50 years of research
(via sciencedaily.com) Original source 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
(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 What math can teach us about standing up to bullies
(via sciencedaily.com) Original source 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 'Toggle switch' can help quantum computers cut through the noise
(via sciencedaily.com) Original source What good is a powerful computer if you can't read its output? Or readily reprogram it to do different jobs? People who design quantum computers face these challenges, and a new device may make them easier to solve.
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 New microcomb device advances photonic technology
(via sciencedaily.com) Original source Researchers have outlined a new high-speed tunable microcomb that could help propel advances in wireless communication, imaging, atomic clocks, and more.
Published An app can transform smartphones into thermometers that accurately detect fevers
(via sciencedaily.com) Original source A team has created an app called FeverPhone, which transforms smartphones into thermometers without adding new hardware.
Published AI that uses sketches to detect objects within an image could boost tumor detection, and search for rare bird species
(via sciencedaily.com) Original source Teaching machine learning tools to detect specific objects in a specific image and discount others is a 'game-changer' that could lead to advancements in cancer detection, according to researchers.
Published AI reveals hidden traits about our planet's flora to help save species
(via sciencedaily.com) Original source Machine learning can help extract important information from the huge numbers of plant specimens stored in herbaria, say scientists.
Published Open-source software to speed up quantum research
(via sciencedaily.com) Original source Quantum technology is expected to fundamentally change many key areas of society. Researchers are convinced that there are many more useful quantum properties and applications to explore than those we know today. A team of researchers has now developed open-source, freely available software that will pave the way for new discoveries in the field and accelerate quantum research significantly.
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 AI helps show how the brain's fluids flow
(via sciencedaily.com) Original source A new, AI-based technique for measuring fluid flow in the brain could lead to treatments for diseases such as Alzheimer's.
Published Metamaterials with built-in frustration have mechanical memory
(via sciencedaily.com) Original source Researchers have discovered how to design materials that necessarily have a point or line where the material doesn't deform under stress, and that even remember how they have been poked or squeezed in the past. These results could be used in robotics and mechanical computers, while similar design principles could be used in quantum computers.
Published New technique in error-prone quantum computing makes classical computers sweat
(via sciencedaily.com) Original source Today's quantum computers often calculate the wrong answer because of noisy environments that interfere with the quantum entanglement of qubits. IBM Quantum has pioneered a technique that accounts for the noise to achieve reliable results. They tested this error mitigation strategy against supercomputer simulations run by physicists, and for the hardest calculations, the quantum computer bested the supercomputer. This is evidence for the utility of today's noisy quantum computers for performing real-world calculations.
Published Hybrid AI-powered computer vision combines physics and big data
(via sciencedaily.com) Original source Researchers have laid out a new approach to enhance artificial intelligence-powered computer vision technologies by adding physics-based awareness to data-driven techniques. The study offered an overview of a hybrid methodology designed to improve how AI-based machinery sense, interact and respond to its environment in real time -- as in how autonomous vehicles move and maneuver, or how robots use the improved technology to carry out precision actions.
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 Four-legged robot traverses tricky terrains thanks to improved 3D vision
(via sciencedaily.com) Original source Researchers have developed a new model that trains four-legged robots to see more clearly in 3D. The advance enabled a robot to autonomously cross challenging terrain with ease -- including stairs, rocky ground and gap-filled paths -- while clearing obstacles in its way.
Published Novel ferroelectrics for more efficient microelectronics
(via sciencedaily.com) Original source A team of researchers is exploring novel materials that have potential to make microelectronics more energy efficient. Their recent work explores recently discovered wurtzite ferroelectrics, which are mainly composed of materials that are already incorporated in semiconductor technology for integrated circuits. These materials allow for the integration of new power-efficient devices for applications such as non-volatile memory, electro-optics, and energy harvesting.
Published MethaneMapper is poised to solve the problem of underreported methane emissions
(via sciencedaily.com) Original source MethaneMapper is an artificial intelligence-powered hyperspectral imaging tool that researchers have developed to detect real-time methane emissions and trace them to their sources. The tool works by processing hyperspectral data gathered during overhead, airborne scans of the target area.