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.

In phylogeography, ancestral state inference methods are used to identify the geographic or host species origin of viral or bacterial lineages and reconstruct their transmission histories over time.

As the San Luis Obispo County Sheriff’s Office spent Wednesday executing a search warrant at the Arroyo Grande home of Susan Flores, the mother of Kristin Smart’s convicted killer Paul Flores, ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

Dividends by the Numbers series tracked the US stock market's dividend metadata, which provided a simple, near real-time method of measuring the relative health of the US economy. We've opted to focus ...

Wearing silicone wristbands that absorb pollutants could help scientists monitor for chemicals in the air. Venier Lab Every morning, people fasten their watch, slip on a bracelet and head out the door ...

How the drone sampling was conducted The study, involving King's College London and The Royal (Dick) School of Veterinary Studies in the UK, multiple partners including Nord University as the lead ...

Drones have been used to successfully collect samples from the exhaled breath - or “blow” - from wild humpback, sperm and fin whales in northern Norway, hailing a new era of non-invasive health ...

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability. San Francisco-based Thinking Machines was founded in February by Mira Murati ...

Code for our SIGKDD'25 paper: "BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models". The advent of universal time series forecasting models has revolutionized zero-shot ...

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.