Combining artificial intelligence with physical climate modelling enables more accurate characterization of rare weather ...

Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...

Abstract: To improve the computational efficiency of the time-dependent failure probability (TDFP) to system with dynamic loads, materials degeneration and other time-varying factors, a two-phase ...

Abstract: Importance sampling methods are extensively used in time-independent reliability analysis. However, the kind of methods is barely studied in the field of time-variant reliability analysis.

The percentage of federal employees who are classified as “thriving” decreased by 10 points between 2024 and 2025, according to a recent report from Gallup, which sheds light on how civil servants are ...

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Language models often repeat themselves and fall back on stereotypical answers after training. Verbalized Sampling is a simple prompt technique designed to make AI responses less repetitive.

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

ABSTRACT: Chronic starvation of the communities on the water invested projects is due to the partial or unfinished project which leads to the closure or non-sustainable water projects. The closure or ...

ABSTRACT: Career counseling is an integral part of the educational process, as it helps students to choose their future career paths and develop the necessary skills for the job. The present study ...