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Categories: Mathematics: Modeling, Physics: Quantum Computing
Published A genetic algorithm for phononic crystals



Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next-generation sensors and computer devices.
Published Machine learning could aid efforts to answer long-standing astrophysical questions



Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Giant clams may hold the answers to making solar energy more efficient



Solar panel and biorefinery designers could learn a thing or two from iridescent giant clams living near tropical coral reefs, according to a new study. This is because giant clams have precise geometries -- dynamic, vertical columns of photosynthetic receptors covered by a thin, light-scattering layer -- that may just make them the most efficient solar energy systems on Earth.
Published Neutrons on classically inexplicable paths



Is nature really as strange as quantum theory says -- or are there simpler explanations? New neutron measurements prove: It doesn't work without the strange properties of quantum theory.
Published Moving beyond the 80-year-old solar cell equation



Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.
Published AI model finds the cancer clues at lightning speed



AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise



Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.
Published Study reveals why AI models that analyze medical images can be biased



Researchers have found that artificial intelligence models that are most accurate at predicting race and gender from X-ray images also show the biggest 'fairness gaps' -- that is, discrepancies in their ability to accurately diagnose images of people of different races or genders.
Published Visual explanations of machine learning models to estimate charge states in quantum dots



To form qubit states in semiconductor materials, it requires tuning for numerous parameters. But as the number of qubits increases, the amount of parameters also increases, thereby complicating this process. Now, researchers have automated this process, overcoming a significant barrier to realizing quantum computers.
Published New deep-learning model outperforms Google AI system in predicting peptide structures



Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar biological functions. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.
Published Characterization of the extraordinary thermoelectric properties of cadmium arsenide thin films



If there's one thing we humans are good at, it's producing heat. Significant amounts, and in many cases most of the energy we generate and put into our systems we lose as heat, whether it be our appliances, our transportation, our factories, even our electrical grid.
Published Understanding quantum states: New research shows importance of precise topography in solid neon qubits



A new study shows new insight into the quantum state that describes the condition of electrons on an electron-on-solid-neon quantum bit, information that can help engineers build this innovative technology.
Published A chip-scale Titanium-sapphire laser



With a single leap from tabletop to the microscale, engineers have produced the world's first practical Titanium-sapphire laser on a chip, democratizing a once-exclusive technology.
Published Precision instrument bolsters efforts to find elusive dark energy



Dark energy -- a mysterious force pushing the universe apart at an ever-increasing rate -- was discovered 26 years ago, and ever since, scientists have been searching for a new and exotic particle causing the expansion. Physicists combined an optical lattice with an atom interferometer to hold atoms in place for up to 70 seconds -- a record for an atom interferometer -- allowing them to more precisely test for deviations from the accepted theory of gravity that could be caused by dark energy particles such as chameleons or symmetrons. Though they detected no anomalies, they're improving the experiment to perform more sensitive tests of gravity, including whether gravity is quantized.
Published Researchers discover new flat electronic bands, paving way for advanced quantum materials



Scientists predict the existence of flat electronic bands at the Fermi level, a finding that could enable new forms of quantum computing and electronic devices.
Published Prying open the AI black box



Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.
Published Unifying behavioral analysis through animal foundation models



Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology makes it possible for a single deep learning model to detect animal motion across many species and environments. This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.
Published Can AI learn like us?



Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.
Published Breakthrough may clear major hurdle for quantum computers



The potential of quantum computers is currently thwarted by a trade-off problem. Quantum systems that can carry out complex operations are less tolerant to errors and noise, while systems that are more protected against noise are harder and slower to compute with. Now a research team has created a unique system that combats the dilemma, thus paving the way for longer computation time and more robust quantum computers.
Published Simplicity versus adaptability: Understanding the balance between habitual and goal-directed behaviors



Scientists have proposed a new AI method in which systems of habitual and goal-directed behaviors learn to help each other. Through computer simulations that mimicked the exploration of a maze, the method quickly adapts to changing environments and also reproduced the behavior of humans and animals after they had been accustomed to a certain environment for a long time. The study not only paves the way for the development of systems that adapt quickly and reliably in the burgeoning field of AI, but also provides clues to how we make decisions in the fields of neuroscience and psychology.