That science points to a practical playbook: from how I practice and rest, to how I move my body and manage my attention, ...

Imagine you’re at a bustling dinner party filled with laughter, music, and clinking silverware. You’re trying to follow a ...

Kristen Smigielski, Ph.D., was born and raised in Buffalo, New York, in a family of educators. Her grandfather, grandmother, ...

Scientists achieve major robotics milestone as robot learns 1,000 different physical tasks in single day, potentially ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Abstract: Over the past decade, multivariate time series classification has received great attention. Machine learning (ML) models for multivariate time series classification have made significant ...

Abstract: Human Action Recognition (HAR) has emerged as a significant area of research in artificial intelligence, driven by its wide-ranging applications, including video surveillance. The vast array ...

(Santa Barbara, Calif.) — Shifting focus on a visual scene without moving our eyes — think driving, or reading a room for the reaction to your joke — is a behavior known as covert attention. We do it ...

Background: This study developed a machine learning model to predict postoperative heart failure (HF) risk in non-cardiac surgery patients. Methods: Using data from 489 patients (109 HF cases, 380 ...

We propose a novel neural attention architecture to tackle machine comprehension tasks, such as answering Cloze-style queries with respect to a document. Unlike previous models, we do not collapse the ...