Abstract: This paper presents a task planning and resource scheduling algorithm based on a regret-driven greedy strategy and dynamic programming. The algorithm addresses key challenges such as ...

It's a mild early spring morning at the historic Cottonwood Field Station in western South Dakota, and a herd of 150 Angus ...

We recently went through a hiring process here that just dragged on and on, during a very busy time of year. Instead of ...

New forecasts from labor experts reveal that several once-stable professions are shrinking fast as technology transforms the ...

At a recent Hubbis roundtable luncheon in Manila, hosted in partnership with Backbase, senior wealth management leaders ...

Professors Peter Dinda and Andrew Crotty co-led the organizing committee for GCASR 2026, held May 11 at the Norris University ...

Abstract: This study proposes an efficient feature extraction and fusion framework that addresses the challenges of inefficient feature extraction, cross-modal alignment difficulties, and inadequate ...

An examination of state laws and regulations applicable to AI use in health care, including state-specific requirements ...

As the global smart home market experiences a significant paradigm shift toward automation and interconnectivity, the demand for sophisticated home textile management systems has surged. Amidst this ...

Illustration: TikTok and Instagram Reels marketing for retailers. This post was authored by Marsello, an all-in-one marketing ...

The Indo-Pacific region encompasses 100 million square miles of ocean and serves as the economic powerhouse for global trade, ...