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Categories: Mathematics: Modeling, Mathematics: Puzzles
Published Mathematics supporting fresh theoretical approach in oncology
(via sciencedaily.com) Original source Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic strategies to maintain high levels of cellular heterogeneity within the tumour in order to slow down the evolution of the cancer and improve human survival.
Published Scientists use A.I.-generated images to map visual functions in the brain
(via sciencedaily.com) Original source Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to apply a data-driven approach to understand how vision is organized while potentially removing biases that may arise when looking at responses to a more limited set of researcher-selected images.
Published New computer code for mechanics of tissues and cells in three dimensions
(via sciencedaily.com) Original source Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called 'active matter'. The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand shape, flows, and form of living materials. The active matter theory consists of many challenging mathematical equations. Scientists have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios. These solutions bring us a big step closer to solving the century-old riddle of how cells and tissues attain their shape and to designing artificial biological machines.
Published Dams now run smarter with AI
(via sciencedaily.com) Original source Scientists have leveraged artificial intelligence models to enhance dam operations.
Published Nuclear expansion failure shows simulations require change
(via sciencedaily.com) Original source A team of researchers looked back at a model that predicted nuclear power would expand dramatically in order to assess the efficacy of energy policies implemented today.
Published New twist on AI makes the most of sparse sensor data
(via sciencedaily.com) Original source An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using low-powered 'edge' computing, with broad applications across industry, science and medicine.
Published Keep it secret: Cloud data storage security approach taps quantum physics
(via sciencedaily.com) Original source Distributed cloud storage is a hot topic for security researchers, and a team is now merging quantum physics with mature cryptography and storage techniques to achieve a cost-effective cloud storage solution.
Published quantum mechanics: Unlocking the secrets of spin with high-harmonic probes
(via sciencedaily.com) Original source Deep within every piece of magnetic material, electrons dance to the invisible tune of quantum mechanics. Their spins, akin to tiny atomic tops, dictate the magnetic behavior of the material they inhabit. This microscopic ballet is the cornerstone of magnetic phenomena, and it's these spins that a team of researchers has learned to control with remarkable precision, potentially redefining the future of electronics and data storage.
Published How to use AI for discovery -- without leading science astray
(via sciencedaily.com) Original source In the same way that chatbots sometimes 'hallucinate,' or make things up, machine learning models designed for scientific applications can sometimes present misleading or downright false results. Researchers now present a new statistical technique for safely using AI predictions to test scientific hypotheses.
Published Scientists use quantum biology, AI to sharpen genome editing tool
(via sciencedaily.com) Original source Scientists used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Published AI trained to identify least green homes
(via sciencedaily.com) Original source First of its kind AI-model can help policy-makers efficiently identify and prioritize houses for retrofitting and other decarbonizing measures.
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 Certain online games use dark designs to collect player data
(via sciencedaily.com) Original source The privacy policies and practices of online games contain dark design patterns which could be deceptive, misleading, or coercive to users, according to a new study.
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.