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 ...

Hourly workers across a number of industries have long been grappling with unstable schedules and pay as their employers use software to slash labor costs and maximize productivity.

Stock futures point to losses at the start of an earnings-packed week, and oil prices are up again overnight after President Trump said he wouldn’t send envoys for talks with Iran. At least one corner ...

Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...