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Categories: Geoscience: Landslides, Mathematics: Modeling
Published Computational model captures the elusive transition states of chemical reactions
(via sciencedaily.com) Original source Researchers developed a way to quickly calculate the transition state structure of a chemical reaction, using machine-learning models.
Published Deep neural networks show promise as models of human hearing
(via sciencedaily.com) Original source In the largest study yet of deep neural networks trained to perform auditory tasks, researchers found most of these models generate internal representations that share properties of representations seen in the human brain when people are listening to the same sounds.
Published Artificial intelligence systems excel at imitation, but not innovation
(via sciencedaily.com) Original source Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers have found.
Published ChatGPT often won't defend its answers -- even when it is right
(via sciencedaily.com) Original source ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it's in the wrong.
Published North Korea and beyond: AI-powered satellite analysis reveals the unseen economic landscape of underdeveloped nations?
(via sciencedaily.com) Original source A joint research team in computer science, economics, and geography has developed an artificial intelligence (AI) technology to measure grid-level economic development within six-square-kilometer regions. This AI technology is applicable in regions with limited statistical data (e.g., North Korea), supporting international efforts to propose policies for economic growth and poverty reduction in underdeveloped countries. The research team plans to make this technology freely available for use to contribute to the United Nations' Sustainable Development Goals (SDGs).
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 Clearing mangroves makes 'muddification' worse
(via sciencedaily.com) Original source Clearing mangroves to stop estuaries getting clogged with mud actually makes the problem worse, new research shows.
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 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 New dates for landslides reveal past Seattle fault earthquakes
(via sciencedaily.com) Original source New maps of more than 1,000 deep-seated landslides in the Puget Lowlands of Washington State provide evidence of the last major earthquake along the Seattle Fault about 1,100 years ago -- and may also hold traces of older earthquakes along the fault.
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 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.