Add BrightSurf on Google Email

Science News for June 8, 2025


How can smart agricultural equipment accurately detect pedestrians in complex scenarios?

Researchers have developed a new pedestrian detection algorithm for smart agricultural equipment, improving accuracy in complex environments with low-resolution images and dense targets. The new model, YOLOv8n-SS, achieves a 7.2% increase in mean Average Precision on the CrowdHuman dataset and shows high real-time performance.

SourceHigher Education Press·JournalFrontiers of Agricultural Science and Engineering·TypeExperimental study·DateJun 8, 2025

How does the novel model achieve accurate prediction of soybean futures prices?

A new hybrid deep learning model significantly enhances the prediction accuracy of soybean futures prices by integrating multi-stage data preprocessing and intelligent optimization algorithms. The model addresses limitations of traditional methods in noise handling, parameter tuning, and generalization capabilities.

SourceHigher Education Press·JournalFrontiers of Agricultural Science and Engineering·TypeExperimental study·DateJun 8, 2025

NUS Medicine researchers develop a better and more accurate biological ageing clock

Researchers developed an improved biological ageing clock, LinAge2, that offers doctors a practical way to assess how quickly a person is ageing and what can be done to slow it down. The new algorithm-powered tool outperforms other clinical models in predicting long-term mortality and health outcomes.

SourceNational University of Singapore, Yong Loo Lin School of Medicine·Journalnpj Aging·TypeComputational simulation/modeling·DateJun 8, 2025

Researchers realize direct methane to acetic acid conversion under mild condition

Researchers developed a novel MoS2-confined Rh-Fe dual-site catalyst for the direct conversion of methane to acetic acid, achieving an unprecedented CH3COOH selectivity of 90.3% at room temperature. The catalyst's unique structure effectively balances C-H activation and C-C coupling, addressing long-standing challenges in this process.

SourceDalian Institute of Chemical Physics, Chinese Academy Sciences·JournalJournal of the American Chemical Society·TypeCommentary/editorial·DateJun 8, 2025

ELSI’s challenges in the era of advanced AI

The ELSI University Summit in Japan brought together experts to discuss challenges and prospects of responsible AI development. Key findings include the need for ethics-driven approaches, collaboration between academia and industry, and the importance of setting evaluation indicators for Responsible AI.