Most L&D professionals enter the field wanting to make a real difference – but quickly find themselves trapped in outdated ...

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...

The yips and dystonia aren’t a lack of skill they’re a nervous system interruption of an already learned movement.

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

Research shows that compliance-focused safety training alone rarely delivers lasting risk reduction, prompting calls for ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

1 Department of Respiratory and Critical Care Medicine, Changzheng Hospital, The Second Affiliated Hospital of Naval Medical University, Shanghai, China. 2 Department of Respiratory and Critical Care ...

Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...

Introduction: Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot ...

Abstract: The scheduling of aircraft support tasks requires efficient planning based on the available resources in each sup-port position. The many-to-many characteristics of tasks and the dynamic ...