Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Jay N. Yepuri, MD, MS, FACG, is a board-certified gastroenterologist and member of the Digestive Health Associates of Texas Board of Directors and Executive Committee. A liver function test checks how ...

Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...

Abstract: A Newton-like extremum seeking (ES) algorithm is proposed to maximize the norm of the gradient vector of a multivariable static map, aiming to improve the sensitivity of system responses to ...

From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...

For the preparation of high-dimensional functions on quantum computers, we introduce tensor network algorithms that are efficient with regard to dimensionality, optimize circuits composed of ...

Function secret sharing (FSS) is a secret sharing technique for functions in a specific function class, mainly including distributed point function (DPF) and distributed comparison function (DCF). As ...

Gradient Ventures has spun out of Google to better position itself to win deals in the fast-moving early-stage AI market, according to people familiar with the situation. Gradient Ventures is now ...

When I try to compute gradients with a kernel calling a function that calls a function that has custom gradients, I get a compiler error. A direct call of the custom ...