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Categories: Computer Science: General, Mathematics: Modeling

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Researchers have outlined a new high-speed tunable microcomb that could help propel advances in wireless communication, imaging, atomic clocks, and more.

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A team has created an app called FeverPhone, which transforms smartphones into thermometers without adding new hardware.

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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.

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Machine learning can help extract important information from the huge numbers of plant specimens stored in herbaria, say scientists.

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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.

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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.

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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.

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A new, AI-based technique for measuring fluid flow in the brain could lead to treatments for diseases such as Alzheimer's.

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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.

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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.

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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.

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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.

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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.