Showing 20 articles starting at article 1
Categories: Mathematics: General, Mathematics: Statistics
Published Artificial intelligence improves lung cancer diagnosis
(via sciencedaily.com) Original source 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 Research shows statistical analysis can detect when ChatGPT is used to cheat on multiple-choice chemistry exams
(via sciencedaily.com) Original source Research revealed how the use of ChatGPT to cheat on general chemistry multiple-choice exams can be detected through specific statistical methods.
Published Think fast -- or not: Mathematics behind decision making
(via sciencedaily.com) Original source New research explains the mathematics behind how initial predispositions and additional information affect decision making.
Published Those with the biggest biases choose first, according to new math study
(via sciencedaily.com) Original source In a new study, researchers created a sort of simulated voting booth -- a space where people, or mathematical 'agents,' with various biases could deliberate over decisions. The results may help to reveal the mathematics of how the human brain acts when it needs to make a choice.
Published Researchers develop AI model that predicts the accuracy of protein--DNA binding
(via sciencedaily.com) Original source A new artificial intelligence model can predict how different proteins may bind to DNA.
Published Eye-tracking study provides valuable insights into learning mathematics
(via sciencedaily.com) Original source Eye-tracking allows studying aspects that cannot be seen, for example, the thinking processes of a student solving a mathematical problem. Researchers have integrated eye-tracking into education and are using the technology to radically improve the teaching of mathematics.
Published Modern behavior explains prehistoric economies
(via sciencedaily.com) Original source 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
(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 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 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 Neural networks made of light
(via sciencedaily.com) Original source Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.
Published Diagnosing different forms of dementia now possible using artificial intelligence
(via sciencedaily.com) Original source 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 Researchers develop predictive model for cross-border COVID spread
(via sciencedaily.com) Original source Post-COVID research has extensively focused on the efficacy of internal travel restrictions and cross-border travel has received less attention due to challenges in accessing quality data. In a major multidisciplinary collaboration effort across Finland, Sweden, Norway, and Denmark, a group of researchers -- including mathematicians, physicists and computer scientists -- have published a pioneering study on the spread of infections across Nordic borders from spring until the end of 2020. The report sheds light on the efficacy of cross-border travel restrictions, helping us better understand which measures actually make a difference.
Published Balancing act: Novel wearable sensors and AI transform balance assessment
(via sciencedaily.com) Original source 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 Can AI learn like us?
(via sciencedaily.com) Original source Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.
Published A railroad of cells
(via sciencedaily.com) Original source Looking under the microscope, a group of cells slowly moves forward in a line, like a train on the tracks. The cells navigate through complex environments. A new approach now shows how they do this and how they interact with each other.
Published Peers crucial in shaping boys' confidence in math skills
(via sciencedaily.com) Original source Boys are good at math, girls not so much? A study has analyzed the social mechanisms that contribute to the gender gap in math confidence. While peer comparisons seem to play a crucial role for boys, girls' subjective evaluations are more likely to be based on objective performance.
Published New model allows a computer to understand human emotions
(via sciencedaily.com) Original source Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.
Published New open-source platform allows users to evaluate performance of AI-powered chatbots
(via sciencedaily.com) Original source Researchers have developed a platform for the interactive evaluation of AI-powered chatbots such as ChatGPT. A team of computer scientists, engineers, mathematicians and cognitive scientists developed an open-source evaluation platform called CheckMate, which allows human users to interact with and evaluate the performance of large language models (LLMs).
Published Unraveling the physics of knitting
(via sciencedaily.com) Original source A team used experiments and simulations to quantify and predict how knit fabric response can be programmed. By establishing a mathematical theory of knitted materials, the researchers hope that knitting -- and textiles in general -- can be incorporated into more engineering and manufacturing applications.