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Categories: Mathematics: General, Mathematics: Modeling
Published The brain may learn about the world the same way some computational models do
(via sciencedaily.com) Original source New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.
Published AI can alert urban planners and policymakers to cities' decay
(via sciencedaily.com) Original source As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns.
Published Single model predicts trends in employment, microbiomes, forests
(via sciencedaily.com) Original source Researchers report that a single, simplified model can predict population fluctuations in three unrelated realms: urban employment, human gut microbiomes and tropical forests. The model will help economists, ecologists, public health authorities and others predict and respond to variability in multiple domains.
Published To excel at engineering design, generative AI must learn to innovate, study finds
(via sciencedaily.com) Original source A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas and designs, they'll have to refocus those models beyond 'statistical similarity.'
Published International team develops novel DNA nano engine
(via sciencedaily.com) Original source An international team of scientists has recently developed a novel type of nano engine made of DNA. It is driven by a clever mechanism and can perform pulsing movements. The researchers are now planning to fit it with a coupling and install it as a drive in complex nano machines.
Published Physical theory improves protein folding prediction
(via sciencedaily.com) Original source Proteins are important molecules that perform a variety of functions essential to life. To function properly, many proteins must fold into specific structures. However, the way proteins fold into specific structures is still largely unknown. Researchers have developed a novel physical theory that can accurately predict how proteins fold. Their model can predict things previous models cannot. Improved knowledge of protein folding could offer huge benefits to medical research, as well as to various industrial processes.
Published Deep neural networks don't see the world the way we do
(via sciencedaily.com) Original source Computational models of hearing and vision can build up their own idiosyncratic 'invariances' -- meaning they respond the same way to stimuli with very different features, according to scientists.
Published New organ-on-a-chip model of human synovium could accelerate development of treatments for arthritis
(via sciencedaily.com) Original source The synovium is a membrane-like structure that lines the knee joint and helps to keep the joint happy and healthy, mainly by producing and maintaining synovial fluid. Inflammation of this tissue is implicated in the onset and progression of arthritic diseases such as rheumatoid and osteoarthritis. Therefore, treatments that target the synovium are promising in treating these diseases. However, we need better models in the laboratory that allow us to find and test new treatments. We have developed an organ-on-a-chip based model of the human synovium, and its associated vasculature, to address this need.
Published A step towards AI-based precision medicine
(via sciencedaily.com) Original source Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers have developed an AI-based method applicable to various medical and biological issues. Their models can for instance accurately estimate people's chronological age and determine whether they have been smokers or not.
Published What is the impact of predictive AI in the health care setting?
(via sciencedaily.com) Original source Models built on machine learning in health care can be victims of their own success, according to researchers. Their study assessed the impact of implementing predictive models on the subsequent performance of those and other models.
Published AI language models could help diagnose schizophrenia
(via sciencedaily.com) Original source Scientists have developed new tools, based on AI language models, that can characterize subtle signatures in the speech of patients diagnosed with schizophrenia.
Published Researchers create a neural network for genomics -- one that explains how it achieves accurate predictions
(via sciencedaily.com) Original source A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks--the engines that drive artificial intelligence and machine learning--thereby illuminating a process that has largely been concealed from users.
Published Machine learning used to probe the building blocks of shapes
(via sciencedaily.com) Original source Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths.
Published Birders and AI push bird conservation to the next level
(via sciencedaily.com) Original source Big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to non-breeding grounds, and back north again during spring migration.
Published These robots helped explain how insects evolved two distinct strategies for flight
(via sciencedaily.com) Original source Robots helped achieve a major breakthrough in our understanding of how insect flight evolved. The study is a result of a six-year long collaboration between roboticists and biophysicists.
Published Groundbreaking mathematical proof: New insights into typhoon dynamics unveiled
(via sciencedaily.com) Original source A research team has provided irrefutable proof that certain spherical vortices exist in a stable state.
Published Sperm swimming is caused by the same patterns that are believed to dictate zebra stripes
(via sciencedaily.com) Original source Patterns of chemical interactions are thought to create patterns in nature such as stripes and spots. This new study shows that the mathematical basis of these patterns also governs how sperm tail moves.
Published Machine learning unravels mysteries of atomic shapes
(via sciencedaily.com) New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics.
Published Drug discovery on an unprecedented scale
(via sciencedaily.com) Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers teamed up with industry and supercomputers to carry out one of the world's largest virtual drug screens.
Published AI helps bring clarity to LASIK patients facing cataract surgery
(via sciencedaily.com) Scientists develop computer models of patients' eyes to identify the ideal intraocular lenses and visual simulators for patients to experience how they will see with them.