Kimi K2.7-Code cuts thinking tokens 30% — but practitioners say the benchmarks don't check out

Kimi K2.7-Code claims 30% fewer thinking tokens and a drop-in API swap path, but independent benchmarks show kernel ...
IEEE

A prediction model of hard landing based on RBF neural network with K-means clustering algorithm

Abstract: This paper proposes a prediction model for forecasting the hard landing problem. The landing phase has been demonstrated the most dangerous phase in flight cycle for fatal accidents. The ...
GitHub

mahotas-parameter-free-threshold-adjacency-statistics.md

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

ai-agriculture-circuits-and-systems/ai_agriculture_news

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...
C&EN

Predicting the Diagnostic Information of Tandem Mass Spectra of Environmentally Relevant Compounds Using Machine Learning

Faculty of Science, Artificial Intelligence, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands ...