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Categories: Mathematics: General, Mathematics: Modeling
Published Machine learning models can produce reliable results even with limited training data
(via sciencedaily.com) Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.
Published Are US teenagers more likely than others to exaggerate their math abilities?
(via sciencedaily.com) A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ability.
Published AI-driven tool makes it easy to personalize 3D-printable models
(via sciencedaily.com) With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.
Published Verbal nonsense reveals limitations of AI chatbots
(via sciencedaily.com) The era of artificial-intelligence chatbots that seem to understand and use language the way we humans do has begun. Under the hood, these chatbots use large language models, a particular kind of neural network. But a new study shows that large language models remain vulnerable to mistaking nonsense for natural language. To a team of researchers, it's a flaw that might point toward ways to improve chatbot performance and help reveal how humans process language.
Published Evolution wired human brains to act like supercomputers
(via sciencedaily.com) Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.
Published Images of simulated cities help artificial intelligence to understand real streetscapes
(via sciencedaily.com) To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.
Published New super-fast flood model has potentially life-saving benefits
(via sciencedaily.com) Researchers have developed a new simulation model, which can predict flooding during an ongoing disaster more quickly and accurately than currently possible.
Published What do neurons, fireflies and dancing the Nutbush have in common?
(via sciencedaily.com) Synchronicity is all around us, but it is poorly understood. Computer scientists have now developed new tools to understand how human and natural networks fall in and out of sync.
Published Online AI-based test for Parkinson's disease severity shows promising results
(via sciencedaily.com) A new artificial intelligence tool can help people with Parkinson's disease remotely assess the severity of their symptoms within minutes. While expert neurologists performed slightly better than the AI model, the AI model outperformed the primary care physicians with UPDRS certification.
Published Researchers use AI to find new magnetic materials without critical elements
(via sciencedaily.com) A team of scientists developed a new machine learning model for discovering critical-element-free permanent magnet materials based on the predicted Curie temperature of new material combinations.
Published Electrical noise stimulation applied to the brain could be key to boosting math learning
(via sciencedaily.com) Exciting a brain region using electrical noise stimulation can help improve mathematical learning in those who struggle with the subject, according to a new study.
Published Surpassing the human eye: Machine learning image analysis rapidly determines chemical mixture composition
(via sciencedaily.com) Machine learning model provides quick method for determining the composition of solid chemical mixtures using only photographs of the sample.
Published Quantum computer unveils atomic dynamics of light-sensitive molecules
(via sciencedaily.com) Researchers have implemented a quantum-based method to observe a quantum effect in the way light-absorbing molecules interact with incoming photons. Known as a conical intersection, the effect puts limitations on the paths molecules can take to change between different configurations. The observation method makes use of a quantum simulator, developed from research in quantum computing, and offers an example of how advances in quantum computing are being used to investigate fundamental science.
Published AI models are powerful, but are they biologically plausible?
(via sciencedaily.com) Researchers hypothesize that a powerful type of AI model known as a transformer could be implemented in the brain through networks of neuron and astrocyte cells. The work could offer insights into how the brain works and help scientists understand why transformers are so effective at machine-learning tasks.
Published Researchers use mathematical modeling and dynamic biomarkers to characterize metastatic disease during adaptive therapy
(via sciencedaily.com) Researchers demonstrate how mathematical modeling combined with dynamic biomarkers can be used to characterize metastatic disease and identify appropriate therapeutic approaches to improve patient outcomes.
Published Distribution of genetic information during bacterial cell division
(via sciencedaily.com) A mathematical model provides new insights into the distribution of genetic information during bacterial cell division
Published Artificial intelligence designs advanced materials
(via sciencedaily.com) Scientists pioneer a new machine learning model for corrosion-resistant alloy design.
Published Tool finds bias in state-of-the-art generative AI model
(via sciencedaily.com) Researchers introduce a new tool to measure bias in text-to-image AI generation models, which they have used to quantify bias in the state-of-the-art model Stable Diffusion.
Published Turning ChatGPT into a 'chemistry assistant'
(via sciencedaily.com) Developing new materials requires significant time and labor, but some chemists are now hopeful that artificial intelligence (AI) could one day shoulder much of this burden. In a new study, a team prompted a popular AI model, ChatGPT, to perform one particularly time-consuming task: searching scientific literature. With that data, they built a second tool, a model to predict experimental results.
Published New model reduces bias and enhances trust in AI decision-making and knowledge organization
(via sciencedaily.com) Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.