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Categories: Geoscience: Volcanoes, Mathematics: Modeling
Published Physicists develop modeling software to diagnose serious diseases
(via sciencedaily.com) Original source Researchers have recently published FreeDTS -- a shared software package designed to model and study biological membranes at the mesoscale -- the scale 'in between' the larger macro level and smaller micro level. This software fills an important missing software among the available biomolecular modeling tools and enables modeling and understanding of many different biological processes involving the cellular membranes e.g. cell division.
Published Powerful new AI can predict people's attitudes to vaccines
(via sciencedaily.com) Original source A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19.
Published New technique helps AI tell when humans are lying
(via sciencedaily.com) Original source Researchers have developed a new training tool to help artificial intelligence (AI) programs better account for the fact that humans don't always tell the truth when providing personal information. The new tool was developed for use in contexts when humans have an economic incentive to lie, such as applying for a mortgage or trying to lower their insurance premiums.
Published Vac to the future
(via sciencedaily.com) Original source Scientists recently published the results of a competition that put researchers to the test. For the competition, part of the NIH-funded Computational Models of Immunity network, teams of researchers from different institutions offered up their best predictions regarding B. pertussis (whooping cough) vaccination.
Published AI for astrophysics: Algorithms help chart the origins of heavy elements
(via sciencedaily.com) Original source The origin of heavy elements in our universe is theorized to be the result of neutron star collisions, which produce conditions hot and dense enough for free neutrons to merge with atomic nuclei and form new elements in a split-second window of time. Testing this theory and answering other astrophysical questions requires predictions for a vast range of masses of atomic nuclei. Scientists are using machine learning algorithms to successfully model the atomic masses of the entire nuclide chart -- the combination of all possible protons and neutrons that defines elements and their isotopes.
Published Researchers develop a new control method that optimizes autonomous ship navigation
(via sciencedaily.com) Original source Existing ship control systems using Model Predictive Control for Maritime Autonomous Surface Ships (MASS) do not consider the various forces acting on ships in real sea conditions. Addressing this gap, researchers developed a novel time-optimal control method, that accounts for the real wave loads acting on a ship, enabling effective planning and control of MASS at sea.
Published How do neural networks learn? A mathematical formula explains how they detect relevant patterns
(via sciencedaily.com) Original source Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team has given neural networks the equivalent of an X-ray to uncover how they actually learn.
Published Balancing training data and human knowledge makes AI act more like a scientist
(via sciencedaily.com) Original source When you teach a child how to solve puzzles, you can either let them figure it out through trial and error, or you can guide them with some basic rules and tips. Similarly, incorporating rules and tips into AI training -- such as the laws of physics --could make them more efficient and more reflective of the real world. However, helping the AI assess the value of different rules can be a tricky task.
Published Method rapidly verifies that a robot will avoid collisions
(via sciencedaily.com) Original source A new safety-check technique can prove with 100 percent accuracy that a planned robot motion will not result in a collision. The method can generate a proof in seconds and does so in a way that can be easily verified by a human.
Published Running performance helped by mathematical research
(via sciencedaily.com) Original source A new mathematical model has shown, with great precision, the impact that physiological and psychological parameters have on running performance and provides tips for optimized training.
Published New AI model draws treasure maps to diagnose disease
(via sciencedaily.com) Original source Researchers have developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.
Published What math tells us about social dilemmas
(via sciencedaily.com) Original source Human coexistence depends on cooperation. Individuals have different motivations and reasons to collaborate, resulting in social dilemmas, such as the well-known prisoner's dilemma. Scientists now present a new mathematical principle that helps to understand the cooperation of individuals with different characteristics.
Published Improving efficiency, reliability of AI medical summarization tools
(via sciencedaily.com) Original source Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according researchers who created a new method to streamline the way AI creates these summaries, efficiently producing more reliable results.
Published Biggest Holocene volcano eruption found by seabed survey
(via sciencedaily.com) Original source A detailed survey of the volcanic underwater deposits around the Kikai caldera in Japan clarified the deposition mechanisms as well as the event's magnitude. As a result, the research team found that the event 7,300 years ago was the largest volcanic eruption in the Holocene by far.
Published Plasma scientists develop computer programs that could reduce the cost of microchips and stimulate American manufacturing
(via sciencedaily.com) Original source Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.
Published Accelerating the discovery of single-molecule magnets with deep learning
(via sciencedaily.com) Original source Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.
Published Study identifies distinct brain organization patterns in women and men
(via sciencedaily.com) Original source Researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.
Published New chip opens door to AI computing at light speed
(via sciencedaily.com) Original source Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.
Published Why insects navigate more efficiently than robots
(via sciencedaily.com) Original source Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.
Published Innovations in depth from focus/defocus pave the way to more capable computer vision systems
(via sciencedaily.com) Original source In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.