Showing 20 articles starting at article 1
Categories: Energy: Fossil Fuels, Mathematics: Statistics
Published Artificial intelligence improves lung cancer diagnosis



A team of researchers has created a digital pathology platform based on artificial intelligence. The platform uses new algorithms developed by the team and enables fully automated analysis of tissue sections from lung cancer patients. The platform makes it possible to analyze digitized tissue samples on the computer for lung tumors more quickly and accurately than before.
Published A method that paves the way for improved fuel cell vehicles



More efficient and longer-lasting fuel cells are essential for fuel cell-powered heavy-duty hydrogen vehicles to be an alternative to combustion fuelled counterparts. Researchers have developed an innovative method to study and understand how parts of fuel cells degrade over time. This is an important step towards the improved performance of fuel cells and them becoming commercially successful.
Published Research shows statistical analysis can detect when ChatGPT is used to cheat on multiple-choice chemistry exams



Research revealed how the use of ChatGPT to cheat on general chemistry multiple-choice exams can be detected through specific statistical methods.
Published Modern behavior explains prehistoric economies



What if the 'Market Economy' always existed? Archaeologists tried to answer this question by researching how much Bronze Age people used to spend to sustain their daily lives. Their results show that, starting at least 3,500 years ago, the spending habits of prehistoric Europeans were not substantially different from what they are today.
Published When allocating scarce resources with AI, randomization can improve fairness



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 Win-win potential of grass-powered energy production



Researchers modeled the impact of using anaerobic digestion to produce renewable natural gas from grassy biomass in different settings and from varying perspectives, analysis that helps flesh out the system's potential.
Published Study shows new efficiency standards for heavy trucks could boost energy use



A new study suggests that the U.S. government's push to increase heavy-duty trucks' energy efficiency could encourage more shipping by truck instead of rail, reducing the policies' anticipated effectiveness by 20%.
Published When to trust an AI model



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 Hydrogen flight looks ready for take-off with new advances



The possibility of hydrogen-powered flight means greater opportunities for fossil-free travel, and the technological advances to make this happen are moving fast. New studies show that almost all air travel within a 750-mile radius (1200 km) could be made with hydrogen-powered aircraft by 2045, and with a novel heat exchanger currently in development, this range could be even further.
Published Pinpointing coal plants to convert to nuclear energy, considering both practicality and community support



An assessment ranks the feasibility of converting 245 operational coal power plants in the U.S. into advanced nuclear reactors, providing valuable insights for policymakers and utilities to meet decarbonization goals, according to a new study.
Published Diagnosing different forms of dementia now possible using artificial intelligence



Ten million new cases of dementia are diagnosed each year but the presence of different dementia forms and overlapping symptoms can complicate diagnosis and delivery of effective treatments. Now researchers have developed an AI tool that can diagnose ten different types of dementia such as vascular dementia, Lewy body dementia, and frontotemporal dementia, even if they co-occur.
Published Balancing act: Novel wearable sensors and AI transform balance assessment



Traditional methods to assess balance often suffer from subjectivity, aren't comprehensive enough and can't be administered remotely. They also are expensive and require specialized equipment and clinical expertise. Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis. This approach is more accessible and can be administered remotely, which could have significant implications for health care, rehabilitation, sports science or other fields where balance assessment is important.
Published A 'liquid battery' advance



A team aims to improve options for renewable energy storage through work on an emerging technology -- liquids for hydrogen storage.
Published Innovative demand strategies for clean energy



A perspective piece describes innovative strategies that significantly reduce both resource consumption and fossil fuel emissions.
Published New machine learning method can better predict spine surgery outcomes



Researchers combine AI and mobile health to predict recovery from lumbar spine surgery.
Published High groundwater depletion risk in South Korea in 2080s



Team utilizes advanced statistical techniques to project the future groundwater depletion risk.
Published Controlling water, transforming greenhouse gases



Researchers have outlined a way to manipulate water molecules to make CO2R more efficient, with the ultimate goal of creating a clean energy loop. Through their new method, the team was able to perform CO2R with nearly 100% efficiency under mildly acidic conditions, using either gold or zinc as catalysts.
Published Improving statistical methods to protect wildlife populations



In human populations, it is relatively easy to calculate demographic trends and make projections of the future if data on basic processes such as births and immigration is known. The data, given by individuals, can be also death and emigration, which subtract. In the wild, on the other hand, understanding the processes that determine wildlife demographic patterns is a highly complex challenge for the scientific community. Although a wide range of methods are now available to estimate births and deaths in wildlife, quantifying emigration and immigration has historically been difficult or impossible in many populations of interest, particularly in the case of threatened species.
Published Can coal mines be tapped for rare earth elements?



A team of geologists analyzed 3,500 samples taken in and around coal mines in Utah and Colorado. Their findings open the possibility that these mines could see a secondary resource stream in the form of rare earth metals used in renewable energy and numerous other high-tech applications.
Published Scientists use generative AI to answer complex questions in physics



Researchers used generative AI to develop a physics-informed technique to classify phase transitions in materials or physical systems that is much more efficient than existing machine-learning approaches.