Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

Forbes contributors publish independent expert analyses and insights. Paul Hsieh, M.D., covers healthcare economics, innovation, and policy. It is too easy to focus on bad news and stressful events, ...

Posts from this topic will be added to your daily email digest and your homepage feed. Whoop’s FDA notice is a reminder that it’s harder to tell what’s a medical feature and what’s “just for fun.” ...

Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain imaging data to better understand how the brain s wiring underpins behavior, ...

Abstract: As a new type of seismic source, the high-speed train (HST) seismic source has great application potential in subsurface imaging in terms of high intensity, strong repeatability, and wide ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Varonis is fairly valued with strong differentiation but lacks the high growth I seek, leading me to rate it a hold. Varonis specializes in data visibility and ransomware protection, but its MDDR acts ...

With the increasing integration of a high proportion of renewable energy, the fluctuation characteristics of distributed power generation such as wind and photovoltaic energy affect the safe and ...