Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect ...
South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.
A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...
Holiday viewership of 19 VSLive! Orlando sessions reached nearly 30,000 views, with developers focusing on advanced topics such as Visual Studio 2026 performance, C# source generators, Copilot-powered ...
Background: This study aims to investigate the efficacy of peer-assisted learning amalgamated with scenario simulation in enhancing the trauma first aid competencies and holistic abilities of ...
Abstract: Situational awareness is crucial in cybersecurity to identify, understand, and anticipate cyber threats, and to make effective decisions during cyber crises. This study evaluates the ...
In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...
Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...
Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, attention mechanisms, and the Kolmogorov–Arnold Network (KAN). Experimental ...
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