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Categories: Environmental: Wildfires, Mathematics: Modeling
Published Researchers explore the potential of clean energy markets as a hedging tool
(via sciencedaily.com) Original source Clean energy investments offer potential stability and growth, especially during volatile market conditions. A recent study explored the relationship between clean energy markets and global stock markets. Significant spillovers were observed from major indices like the SP500 to markets such as Japan's Nikkei225 and Global Clean Energy Index. These interactions suggest opportunities for optimizing investment portfolios and leveraging clean energy assets as hedging tools in volatile market environments.
Published Breaking MAD: Generative AI could break the internet, researchers find
(via sciencedaily.com) Original source Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.
Published California a botanical and climate change hot spot
(via sciencedaily.com) Original source Climate-driven shifts in California's biodiversity call for innovation and continued environmental stewardfship, says a new study. California's 30x30 Initiative and efforts to harmonize biodiversity with renewable energy are promising steps, while wildfire strategies need to further adapt.
Published When allocating scarce resources with AI, randomization can improve fairness
(via sciencedaily.com) Original source Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.
Published Solar absorption by black carbon in fire clouds quantified
(via sciencedaily.com) Original source Aerosol scientists quantify the extent of light absorption by black carbon in fire clouds to better model climate impacts of extreme wildfire events.
Published Raindrops grow with turbulence in clouds
(via sciencedaily.com) Original source Tackling a long-time mystery, scientists have found that the turbulent movements of air in clouds play a key role in the growth of water droplets and the initiation of rain. The research can improve computer model simulations of weather and climate and ultimately lead to better forecasts.
Published Can a computer tell patients how their multiple sclerosis will progress?
(via sciencedaily.com) Original source Machine learning models can reliably inform clinicians about the disability progression of multiple sclerosis, according to a new study published this week in the open-access journal PLOS Digital Health by Edward De Brouwer of KU Leuven, Belgium, and colleagues.
Published Large language models don't behave like people, even though we may expect them to
(via sciencedaily.com) Original source People generalize to form beliefs about a large language model's performance based on what they've seen from past interactions. When an LLM is misaligned with a person's beliefs, even an extremely capable model may fail unexpectedly when deployed in a real-world situation.
Published Researchers warn of unprecedented arsenic release from wildfires
(via sciencedaily.com) Original source The wildfire season of 2023 was the most destructive ever recorded in Canada and a new study suggests the impact was unprecedented. It found that four of the year's wildfires in mine-impacted areas around Yellowknife, Northwest Territories potentially contributed up to half of the arsenic that wildfires emit globally each year.
Published Risks and benefits of integrating AI into medical decision-making
(via sciencedaily.com) Original source Researchers found that an artificial intelligence (AI) model solved medical quiz questions -- designed to test health professionals' ability to diagnose patients based on clinical images and a brief text summary -- with high accuracy. However, physician-graders found the AI model made mistakes when describing images and explaining how its decision-making led to the correct answer.
Published Researchers enhance tool to better predict where and when wildfires will occur
(via sciencedaily.com) Original source A newly enhanced database is expected to help wildfire managers and scientists better predict where and when wildfires may occur by incorporating hundreds of additional factors that impact the ignition and spread of fire.
Published There is mathematical proof in the pudding
(via sciencedaily.com) Original source In blockchain development, there is a rule of thumb that only two of scalability, security, and decentralization are valid simultaneously. However, the mathematical expression of that rule was still a work in progress. Researchers discovered a mathematical expression for the blockchain trilemma. In the formula for Proof of Work-based blockchains, including Bitcoin, the product of the three terms--scalability, security, and decentralization--is 1.
Published Are AI-chatbots suitable for hospitals?
(via sciencedaily.com) Original source Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. A team has systematically investigated whether this form of artificial intelligence (AI) would be suitable for everyday clinical practice. Despite the current shortcomings, the researchers see potential in the technology. They have published a method that can be used to test the reliability of future medical chatbots.
Published Scientists use AI to predict a wildfire's next move
(via sciencedaily.com) Original source Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.
Published How to assess a general-purpose AI model's reliability before it's deployed
(via sciencedaily.com) Original source A new technique estimates the reliability of a self-supervised foundation model, like those that power ChatGPT, without the need to know what task that model will be deployed on later.
Published A new neural network makes decisions like a human would
(via sciencedaily.com) Original source Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.
Published Wildfire smoke has a silver lining: It can help protect vulnerable tree seedlings
(via sciencedaily.com) Original source Forest scientists studying tree regeneration have found that wildfire smoke comes with an unexpected benefit: It has a cooling capacity that can make life easier for vulnerable seedlings.
Published When to trust an AI model
(via sciencedaily.com) Original source A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.
Published Complex impact of large wildfires on ozone layer dynamics
(via sciencedaily.com) Original source In a revelation highlighting the fragile balance of our planet's atmosphere, scientists have uncovered an unexpected link between massive wildfire events and the chemistry of the ozone layer. Using satellite data and numerical modeling, the team discovered that an enormous smoke-charged vortex nearly doubles the southern hemispheric aerosol burden in the middle stratosphere of the Earth and reorders ozone depletion at different heights. This study reveals how wildfires, such as the catastrophic 2019/20 Australian bushfires, impact the stratosphere in previously unseen ways.
Published Artificial intelligence speeds up heart scans, saving doctors' time, and could lead to better treatment for heart conditions
(via sciencedaily.com) Original source Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence, which could save valuable time and resources, as well as improve care for patients.