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Global Intelligence Database
Results for "Environmental Science"
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#382Environmental ScienceFront Page3 February 2026
Micro-Topography Defines Neottia ovata Success in Alpine Meadows
The reproductive success of the orchid Neottia ovata is heavily dependent on its precise location within the micro-reliefs of hummocky meadows. New data reveals that placement on soil humps directly correlates with functional traits and pollination rates, emphasising the conservation value of rough terrain.
By Paušič, Granda, Pliberšek, Kozel
#383NeuroscienceFront Page14 November 2025
AI Learns Faster by Drawing a Map of its World
Researchers have developed a new method to help artificial intelligence agents learn more efficiently by giving them a sense of curiosity. The technique uses a graph neural network to map out the agent's environment, rewarding it for exploring novel or less-visited areas, which significantly accelerates its learning process.
By Pandian, Thirunavukarasu, Nagarajan
#384Chemistry & Material ScienceFront Page8 January 2026
The Silent Thief of Time: Materials Informatics and the End of the Edisonian Era
A perspective review tracing the evolution of materials science from manual trial-and-error to AI-driven automation. It highlights the integration of Large Language Models and the shift towards autonomous, self-driving laboratories.
By Lookman, Liu, Gao