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Categories: Mathematics: Modeling, Paleontology: Climate
Published Theoretical quantum speedup with the quantum approximate optimization algorithm



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 AI helps medical professionals read confusing EEGs to save lives



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



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



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 How AI helps programming a quantum computer



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 New research reveals that prehistoric seafloor pockmarks off the California coast are maintained by powerful sediment flows



New research on a field of pockmarks -- large, circular depressions on the seafloor -- offshore of Central California has revealed that powerful sediment flows, not methane gas eruptions, maintain these prehistoric formations.
Published Record low Antarctic sea ice 'extremely unlikely' without climate change



Scientists have found that the record-low levels of sea ice around Antarctica in 2023 were extremely unlikely to happen without the influence of climate change. This low was a one-in-a-2000-year event without climate change and four times more likely under its effects.
Published Early arrival and expansion of palaeolithic people on Cyprus



The patterns of dispersal of early humans across continents and islands are hotly debated, but researchers have found that Pleistocene hunter-gatherers settled in Cyprus thousands of years earlier than previously thought. In examining the timing of the first human occupation of Cyprus, research found that large islands in the Mediterranean Sea were attractive and favorable destinations for palaeolithic peoples. These findings refute previous studies that suggested Mediterranean islands would have been unreachable and inhospitable for Pleistocene hunter-gatherer societies.
Published Large language models can't effectively recognize users' motivation, but can support behavior change for those ready to act



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



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



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



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 Summers warm up faster than winters, fossil shells from Antwerp show



In a warmer climate, summers warm much faster than winters, according to research into fossil shells. With this knowledge we can better map the consequences of current global warming in the North Sea area.
Published Century of statistical ecology reviewed



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.
Published Today's world: Fastest rate of carbon dioxide rise over the last 50,000 years



Today's rate of atmospheric carbon dioxide increase is 10 times faster than at any other point in the past 50,000 years, researchers have found through a detailed chemical analysis of ancient Antarctic ice.
Published New work extends the thermodynamic theory of computation



Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.
Published New machine learning algorithm promises advances in computing



Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.
Published AI advancements make the leap into 3D pathology possible



Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.
Published Human activity is making it harder for scientists to interpret oceans' past



New research shows human activity is significantly altering the ways in which marine organisms are preserved, with lasting effects that can both improve and impair the fossil record.
Published An AI leap into chemical synthesis



Scientists introduce a large language model-based AI system that revolutionizes chemistry by integrating 18 advanced tools for tasks like organic synthesis and drug discovery.