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Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

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 ...

ABSTRACT: Undergraduate nursing students commonly experience higher levels of perceived stress compared to other student groups in higher education. Academic pressures, clinical performance ...

Abstract: In this article, a time-symmetric sampling method is proposed to eliminate the pulse-width-modulation (PWM) delay in digital PWM (DPWM) inverters. To attain this objective, an analysis of ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

Intrinsically Disordered Proteins (IDPs) challenge traditional structure-function paradigms by existing as dynamic ensembles rather than stable tertiary structures. Capturing these ensembles is ...

Recent advancements in AI scaling laws have shifted from merely increasing model size and training data to optimizing inference-time computation. This approach, exemplified by models like OpenAI o1 ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Applied Ocean Sciences is creating a sensor that is faster, more efficient, and less expensive than current sampling methods and will be the first sensor to allow near real-time abundance measurements ...