Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of functions. However, choosing a ...

When the digital revolution first hit classrooms in the early 2010s—and more schools began issuing laptops or tablets to students for individual use—online learning seemed to promise a faster, easier ...

This post is part one of a series. Attention is a multifaceted process that manages the mental controls needed for school or work. Filtering incoming information to determine its importance (saliency) ...

In modern functional genomics, understanding how specific genes control cellular behavior requires both targeted intervention and high-resolution analysis. That’s where Perturb-Seq comes in—a method ...

As a person with a chronic illness, I'm no stranger to bloodwork. I used to pore over my lab results, googling the various meanings, and trying not to panic when a test fell out of range. Function ...

Ovarian function suppression (OFS) with gonadotropin-releasing hormone agonists (GnRHas) is a standard of care for premenopausal patients with high-risk stage II/III hormone receptor–positive breast ...

ABSTRACT: We consider the inverse electromagnetic scattering problem of determining the shape of a perfectly conducting core inside a penetrable chiral body. We prove the well-posedness of the ...

The Riemann hypothesis is the most important open question in number theory—if not all of mathematics. It has occupied experts for more than 160 years. And the problem appeared both in mathematician ...