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Categories: Mathematics: Modeling, Space: Cosmology
Published AI-controlled stations can charge electric cars at a personal price
(via sciencedaily.com) Original source As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.
Published Medium and mighty: Intermediate-mass black holes can survive in globular clusters
(via sciencedaily.com) Original source New research demonstrated a possible formation mechanism of intermediate-mass black holes in globular clusters, star clusters that could contain tens of thousands or even millions of tightly packed stars. The first ever star-by-star massive cluster-formation simulations revealed that sufficiently dense molecular clouds, the 'birthing nests' of star clusters, can give birth to very massive stars that evolve into intermediate-mass black holes.
Published AI saving humans from the emotional toll of monitoring hate speech
(via sciencedaily.com) Original source A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.
Published NASA's James Webb Space Telescope finds most distant known galaxy
(via sciencedaily.com) Original source Over the last two years, scientists have used NASA's James Webb Space Telescope to explore what astronomers refer to as Cosmic Dawn -- the period in the first few hundred million years after the big bang where the first galaxies were born.
Published Researchers apply quantum computing methods to protein structure prediction
(via sciencedaily.com) Original source Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.
Published Theoretical quantum speedup with the quantum approximate optimization algorithm
(via sciencedaily.com) Original source Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.
Published The case of the missing black holes
(via sciencedaily.com) Original source Researchers have applied the well-understood and highly verified quantum field theory, usually applied to the study of the very small, to a new target, the early universe. Their exploration led to the conclusion that there ought to be far fewer miniature black holes than most models suggest, though observations to confirm this should soon be possible. The specific kind of black hole in question could be a contender for dark matter.
Published AI helps medical professionals read confusing EEGs to save lives
(via sciencedaily.com) Original source Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.
Published Tracking animals without markers in the wild
(via sciencedaily.com) Original source Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.
Published Research finds improving AI large language models helps better align with human brain activity
(via sciencedaily.com) Original source With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.
Published Birth of universe's earliest galaxies observed for first time
(via sciencedaily.com) Original source Researchers have now seen the formation of three of the earliest galaxies in the universe, more than 13 billion years ago. The sensational discovery contributes important knowledge about the universe.
Published First pictures from Euclid satellite reveal billions of orphan stars
(via sciencedaily.com) Original source The first scientific pictures from the Euclid satellite mission have revealed more than 1,500 billion orphan stars scattered throughout the Perseus cluster of galaxies.
Published Using wobbling stellar material, astronomers measure the spin of a supermassive black hole for the first time
(via sciencedaily.com) Original source Astronomers have a new way to measure how fast a black hole spins, by using the wobbly aftermath from its stellar feasting. The results offer a new way to probe supermassive black holes and their evolution across the universe.
Published How AI helps programming a quantum computer
(via sciencedaily.com) Original source Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study marks a significant step forward in unleashing the full extent of quantum computing.
Published Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act
(via sciencedaily.com) Original source Large language model-based chatbots can't effectively recognize users' motivation when they are hesitant about making healthy behavior changes, but they can support those who are committed to take action, say researchers.
Published Scientists use generative AI to answer complex questions in physics
(via sciencedaily.com) Original source Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.
Published Researchers wrestle with accuracy of AI technology used to create new drug candidates
(via sciencedaily.com) Original source Researchers have determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.
Published Wavefunction matching for solving quantum many-body problems
(via sciencedaily.com) Original source Strongly interacting systems play an important role in quantum physics and quantum chemistry. Stochastic methods such as Monte Carlo simulations are a proven method for investigating such systems. However, these methods reach their limits when so-called sign oscillations occur. This problem has now been solved using the new method of wavefunction matching.
Published Detection of an Earth-sized exoplanet orbiting the ultracool dwarf star SPECULOOS-3
(via sciencedaily.com) Original source Astronomers have just discovered a new Earth-sized exoplanet around SPECULOOS-3, an 'ultracool dwarf' star as small as Jupiter, twice as cold as our Sun, and located 55 light-years from Earth. After the famous TRAPPIST-1, SPECULOOS 3 is the second planetary system discovered around this type of star.
Published Century of statistical ecology reviewed
(via sciencedaily.com) Original source A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.