We’re at a point where AI agents are beginning to move beyond being mere tools—they’re becoming active participants in how businesses operate. That changes everything, and it demands a shift in how we ...

Abstract: Shared training approaches, such as multi-task learning (MTL) and gradient-based meta-learning, are widely used in various machine learning applications, but they often suffer from negative ...

Abstract: With the explosive growth of crowdsourcing tasks, how to design appropriate task recommendation models that help workers to find appropriate tasks and improve task allocation efficiency has ...

Under the Weapons of Mass Destruction Analysis, Exploitation and Data Science Support, or WAEDS, task order, Booz Allen said Thursday it will apply advanced technology and bring highly technical ...

The University Insider is The Daily’s first faculty and staff-oriented newsletter. This weekly newsletter will give U-M faculty and staff the ability to see the most important issues on campus and in ...

Introduction: Task-based language fMRI is a non-invasive method of identifying brain regions subserving language that is used to plan neurosurgical resections which potentially encroach on eloquent ...

Introduction: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder where hyperactivity often manifests as fidgeting, a non-goal-directed ...

At its core, a training needs analysis (TNA) is a systematic process that helps organizations assess the current skills, knowledge, and abilities of their employees in relation to the desired ...