Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...

Learn how the assignment method allocates resources for maximum efficiency and profit. Discover practical examples in banking, manufacturing, and budgeting.

The drama starring Mark Ruffalo has become a word-of-mouth hit. By Rick Porter Television Business Editor The renewal comes after Task became a word-of-mouth hit for HBO and grew steadily over the ...

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 ...