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In recent years, generative artificial intelligence represented by large language models (LLMs) and multimodal large language models (MLLMs) has achieved remarkable progress. These ultra-large-scale and complex models im...

To address the challenges of fragmented understanding of Large Language Model (LLM) security risks and the inadequacy of LLM risk classification and grading frameworks, this study aims to construct a comprehensive framew...

Large language models now provide instant answers to general-education questions. Starting from this observation, this article argues that the intelligent era has arrived. This era reshapes education, research, and work....

The Macao national observation and research station for coastal ecological environment (Macao field station) played a critical role in advancing research on coastal ecological environments and climate change. Its primary...

To address the challenges faced by kindergarten through twelfth grade (K-12) teaching laboratories in operational efficiency, safety assurance, and intelligent support, parallel intelligence was introduced, and a paralle...

Artificial intelligence (AI) technologies are being deeply integrated into critical infrastructures, making AI resilience essential to ensuring the secure and stable operation of such systems. This study defines AI resil...

The development goal of artificial intelligence is to enable machines to think and act like humans, solving complex problems, and more importantly, interacting effectively in a complex, dynamic, and uncertain physical wo...

As a model of urban park design worldwide, the Olympic Forest Park (OFP) serves as a paradigm of China's ecological civilization and a vital hub for urban well-being. To maximize the park's ecological value and address t...

Forestry knowledge is highly specialized and broad in scopeand is particularly sensitive to regulations and practical standards. To address the knowledge gaps, terminological ambiguities, and factual inaccuracies that ge...