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Categories: Energy: Fossil Fuels, Mathematics: Modeling
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 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.
Published Making AI a partner in neuroscientific discovery
(via sciencedaily.com) Original source The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.
Published Greenhouse gas repurposed
(via sciencedaily.com) Original source Cutting-edge research converted waste carbon dioxide into a potential precursor for chemicals and carbon-free fuel.
Published A machine learning framework that encodes images like a retina
(via sciencedaily.com) Original source Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
Published Inexpensive, carbon-neutral biofuels are finally possible
(via sciencedaily.com) Original source When it comes to making fuel from plants, the first step has always been the hardest -- breaking down the plant matter. A new study finds that introducing a simple, renewable chemical to the pretreatment step can finally make next-generation biofuel production both cost-effective and carbon neutral.
Published Japan's electric vehicle transition by 2035 may be insufficient to combat the climate crisis, but there are solutions
(via sciencedaily.com) Original source Researchers report that Japan's policy of banning the sale of new gas vehicles by 2035 may be insufficient to reduce the country's CO2 emissions. The team's analysis showed that to effectively reach their climate goals, Japan must also implement policies that extend vehicle lifetime, implement more renewable energy into its energy sector, and decarbonize the manufacturing process of vehicles.
Published Improving fuel cell durability with fatigue-resistant membranes
(via sciencedaily.com) Original source In hydrogen fuel cells, electrolyte membranes frequently undergo deformation and develop cracks during operation. A research team has recently introduced a fatigue-resistant polymer electrolyte membrane for hydrogen fuel cells, employing an interpenetrating network of Nafion (a plastic electrolyte) and perfluoropolyether (a rubbery polymer). This innovation will not only improve fuel cell vehicles but also promises advancements in diverse technologies beyond transportation, spanning applications from drones to desalination filters and backup power sources.
Published Ammonia attracts the shipping industry, but researchers warn of its risks
(via sciencedaily.com) Original source Switching to ammonia as a marine fuel, with the goal of decarbonization, can instead create entirely new problems. This is shown in a study where researchers carried out life cycle analyses for batteries and for three electrofuels including ammonia. Eutrophication and acidification are some of the environmental problems that can be traced to the use of ammonia -- as well as emissions of laughing gas, which is a very potent greenhouse gas.
Published Promising heart drugs ID'd by cutting-edge combo of machine learning, human learning
(via sciencedaily.com) Original source Scientists have developed a new approach to machine learning -- a form of artificial intelligence -- to identify drugs that help minimize harmful scarring after a heart attack or other injuries.
Published Swarming cicadas, stock traders, and the wisdom of the crowd
(via sciencedaily.com) Original source The springtime emergence of vast swarms of cicadas can be explained by a mathematical model of collective decision-making with similarities to models describing stock market crashes.
Published How does a 'reverse sprinkler' work? Researchers solve decades-old physics puzzle
(via sciencedaily.com) Original source For decades scientists have been trying to solve Feynman's Sprinkler Problem: How does a sprinkler running in reverse work? Through a series of experiments, a team of mathematicians has figured out how flowing fluids exert forces and move structures, thereby revealing the answer to this long-standing mystery.
Published New method flips the script on topological physics
(via sciencedaily.com) Original source The branch of mathematics known as topology has become a cornerstone of modern physics thanks to the remarkable -- and above all reliable -- properties it can impart to a material or system. Unfortunately, identifying topological systems, or even designing new ones, is generally a tedious process that requires exactly matching the physical system to a mathematical model. Researchers have demonstrated a model-free method for identifying topology, enabling the discovery of new topological materials using a purely experimental approach.