NPR's Scott Detrow speaks with Shane Littrell of Cornell University, whose new study concludes that those who buy into corporate jargon may actually be worse at their jobs.
A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...
Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
We present two accurate and efficient algorithms for solving a group of fluid flow problems based on the Navier-Stokes Equations (NSEs). Both methods use a time-stepping approach with the ...
Researchers have developed a hybrid surrogate model for iso-octanol oxidation to iso-octanal that integrates data-driven ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and myocardial fibrosis plays a central role in the pathophysiology process.
Objective To examine associations between participants’ perinatal factors, including harmonised birth weight and length, ...
Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...
Abstract: This paper proposes a novel method combining Monte Carlo simulation (MCS) and approximation method to improve the high-order moments accuracy of probabilistic optimal power flow (POPF) with ...
Abstract: This paper proposes an economically optimal energy management approach for grid-connected photovoltaic microgrid. The approach is derived based on the dynamic programming algorithm and grid ...
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